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2020 – today
- 2025
[j256]Jinger Ang, Kok Swee Sim, Shing Chiang Tan, Chee Peng Lim:
Adaptive Contrast Enhancement With Lesion Focusing (ACELF). IEEE Access 13: 41785-41796 (2025)- [j255]Grienggrai Rajchakit
, K. Asmiya Banu, T. Aparna, Chee Peng Lim:
Event-triggered secure control for Markov jump neural networks with time-varying delays and subject to cyber-attacks via state estimation fuzzy approach. Int. J. Syst. Sci. 56(2): 211-226 (2025) - [j254]Lawrence Chuin Ming Liaw, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
A histogram SMOTE-based sampling algorithm with incremental learning for imbalanced data classification. Inf. Sci. 686: 121193 (2025) - [j253]Sam Slade, Li Zhang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Arjun Panesar, Philip Fei Wu, Rong Gao:
Cluster search optimisation of deep neural networks for audio emotion classification. Knowl. Based Syst. 314: 113223 (2025) - [j252]Bing Yan, Peng Shi, Chee Peng Lim, Yuan Sun, Ramesh K. Agarwal:
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2777-2788 (2025) - 2024
- [j251]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok Swee Sim, Pey Yun Goh, Chee Peng Lim:
A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach. IEEE Access 12: 17522-17540 (2024) - [j250]Manjeevan Seera, Chee Peng Lim, Ajay Kumar, Lalitha Dhamotharan, Kim Hua Tan:
An intelligent payment card fraud detection system. Ann. Oper. Res. 334(1): 445-467 (2024) - [j249]Pankaj Narang, Pijus Kanti De, Chee Peng Lim, Mamta Kumari:
Optimal recycling model selection in a closed-loop supply chain for electric vehicle batteries under carbon cap-trade and reward-penalty policies using the Stackelberg game. Comput. Ind. Eng. 196: 110512 (2024) - [j248]Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang, Mohammad Reza Chalak Qazani, Sam Oladazimi, Chu Kiong Loo, Chee Peng Lim, Saeid Nahavandi:
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review. Expert Syst. Appl. 249: 123717 (2024) - [j247]Essam Alhroob, Mohammed Falah Mohammed, Osama Nayel Al Sayaydeh, Fadhl Hujainah, Ngahzaifa Ab Ghani, Chee Peng Lim:
A flexible enhanced fuzzy min-max neural network for pattern classification. Expert Syst. Appl. 251: 124030 (2024) - [j246]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine learning meets advanced robotic manipulation. Inf. Fusion 105: 102221 (2024) - [j245]Li Zhang, Dezong Zhao, Chee Peng Lim, Houshyar Asadi, Haoqian Huang, Yonghong Yu, Rong Gao:
Video Deepfake classification using particle swarm optimization-based evolving ensemble models. Knowl. Based Syst. 289: 111461 (2024) - [j244]Jinde Cao, Raja Ramachandran, Chee Peng Lim, Fathalla A. Rihan:
2nd International Conference on Mathematical Modeling and Computational Methods in Science and Engineering (ICMMCMSE-2020). Math. Comput. Simul. 223: 693-694 (2024) - [j243]Leandro Cunha, Li Zhang, Bilal Sowan, Chee Peng Lim, Yinghui Kong:
Video deepfake detection using Particle Swarm Optimization improved deep neural networks. Neural Comput. Appl. 36(15): 8417-8453 (2024) - [j242]Lawrence Chuin Ming Liaw, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
Cervical cancer classification using sparse stacked autoencoder and fuzzy ARTMAP. Neural Comput. Appl. 36(22): 13895-13913 (2024) - [j241]Zheng Cai, Yit Hong Choo, Vu Le, Chee Peng Lim, Mingyu Liao:
Enhancing the Whale Optimisation Algorithm with sub-population and hybrid techniques for single- and multi-objective optimisation. Soft Comput. 28(5): 3941-3971 (2024) - [j240]Jie Wu, Rongni Yang, Jonathon A. Chambers, Chee Peng Lim:
Finite-Time Stability Analysis and Stabilization of Switched Affine Systems via an Event-Triggered Strategy. IEEE Trans. Cybern. 54(10): 6169-6179 (2024) - [j239]Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 814-827 (2024) - [j238]Qikun Shen, Peng Shi, Chee Peng Lim:
Fuzzy Adaptive Fault-Tolerant Stability Control Against Novel Actuator Faults and Its Application to Mechanical Systems. IEEE Trans. Fuzzy Syst. 32(4): 2331-2340 (2024) - [j237]Sasikala Subramaniam, Chee Peng Lim, Mani Prakash:
Fuzzy-Based Sampled-Data Synchronization of the Hindmarsh-Rose Neuronal Model. IEEE Trans. Fuzzy Syst. 32(9): 5285-5295 (2024) - [j236]Mohammad Reza Chalak Qazani, Houshyar Asadi, Muhammad Zakarya, Chee Peng Lim, Alan Wee-Chung Liew, Mansour A. Karkoub, Saeid Nahavandi:
A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios. IEEE Trans. Intell. Transp. Syst. 25(6): 5112-5121 (2024) - [j235]Sam Slade, Li Zhang, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao:
Neural Inference Search for Multiloss Segmentation Models. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15113-15127 (2024) - [j234]Zhi Lian, Peng Shi, Chee Peng Lim, Imre J. Rudas, Ramesh K. Agarwal:
Hybrid Stealthy Attacks on Stochastic Event-Based Remote Estimation Under Packet Dropouts. IEEE Trans. Netw. Sci. Eng. 11(6): 5829-5838 (2024) - [j233]Yize Yang, Peng Shi, Chee Peng Lim, Jonathon A. Chambers:
Optimal Bipartite Tracking Control for Heterogeneous Systems Under DoS Attacks. IEEE Trans. Netw. Serv. Manag. 21(5): 5239-5249 (2024) - [j232]Sasikala Subramaniam, Chee Peng Lim, Rajan Rakkiyappan, Mani Prakash:
Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1113-1123 (2024) - [c97]Yi Wen Kerk, Kai Meng Tay, Chian Haur Jong, Chee Shee Chai, Chee Peng Lim:
A New Transmission Cause and Effect Analysis (TCEA) Approach to Risk Management for Non-Healthcare Context: A Case Study on COVID-19. SMC 2024: 1498-1503 - [c96]Sari Al-Serri, Mohammad Reza Chalak Qazani, Shadi Mohamed, Adetokunbo Arogbonlo, Mohammed Al-Ashmori, Chee Peng Lim, Saeid Nahavandi, Houshyar Asadi:
Optimising Horizons in Model Predictive Control for Motion Cueing Algorithms Using Reinforcement Learning. SMC 2024: 2793-2800 - [c95]Arian Shajari, Houshyar Asadi, Shehab Alsanwy, Saeid Nahavandi, Chee Peng Lim:
Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data. SysCon 2024: 1-8 - [i15]Ali Jafarizadeh, Shadi Farabi Maleki, Parnia Pouya, Navid Sobhi, Mirsaeed Abdollahi, Siamak Pedrammehr, Chee Peng Lim, Houshyar Asadi, Roohallah Alizadehsani, Ru San Tan, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Current and future roles of artificial intelligence in retinopathy of prematurity. CoRR abs/2402.09975 (2024) - [i14]Chenhao Xu, Chang-Tsun Li, Chee Peng Lim, Douglas C. Creighton:
HSViT: Horizontally Scalable Vision Transformer. CoRR abs/2404.05196 (2024) - [i13]Salim Rezvani, Farhad Pourpanah, Chee Peng Lim, Q. M. Jonathan Wu:
Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation. CoRR abs/2406.03398 (2024) - [i12]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim:
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. CoRR abs/2407.15901 (2024) - [i11]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Chee Peng Lim, Saied Nahavandi:
Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning. CoRR abs/2408.06349 (2024) - [i10]Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Saeid Nahavandi, Chee Peng Lim:
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model. CoRR abs/2408.06350 (2024) - 2023
- [j231]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok Swee Sim, Manjeevan Seera, Chee Peng Lim:
A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery. IEEE Access 11: 39866-39878 (2023) - [j230]Mohammed Nasser Al-Andoli, Kok Swee Sim, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection. IEEE Access 11: 76330-76346 (2023) - [j229]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani:
A review of artificial fish swarm algorithms: recent advances and applications. Artif. Intell. Rev. 56(3): 1867-1903 (2023) - [j228]Ngoc Duy Nguyen, Thanh Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Thi Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Towards designing a generic and comprehensive deep reinforcement learning framework. Appl. Intell. 53(3): 2967-2988 (2023) - [j227]K. Janani, S. S. Mohanrasu, Chee Peng Lim, Balachandran Manavalan, R. Rakkiyappan:
Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators. Appl. Soft Comput. 143: 110431 (2023) - [j226]Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Hai Nguyen, Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, Chee Peng Lim:
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. Expert Syst. Appl. 213(Part): 119212 (2023) - [j225]Nhat Truong Pham, Duc Ngoc Minh Dang, Ngoc Duy Nguyen, Thanh Nguyen, Hai Nguyen, Balachandran Manavalan, Chee Peng Lim, Sy Dzung Nguyen:
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition. Expert Syst. Appl. 230: 120608 (2023) - [j224]Li Zhang, Chee Peng Lim, Chengyu Liu:
Enhanced bare-bones particle swarm optimization based evolving deep neural networks. Expert Syst. Appl. 230: 120642 (2023) - [j223]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok Swee Sim, Pey Yun Goh, Chee Peng Lim:
An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection. J. Intell. Fuzzy Syst. 44(6): 10477-10493 (2023) - [j222]Li Zhang, Sam Slade, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi, Haoqian Huang, Hang Ruan:
Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks. Knowl. Based Syst. 277: 110828 (2023) - [j221]Abhijit Barman, Pijus Kanti De, Ashis Kumar Chakraborty, Chee Peng Lim, Rubi Das:
Optimal pricing policy in a three-layer dual-channel supply chain under government subsidy in green manufacturing. Math. Comput. Simul. 204: 401-429 (2023) - [j220]Dev Priya Goel, Kushagra Mahajan, Ngoc Duy Nguyen, Srinivasan Natesan, Chee Peng Lim:
Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network. Neural Comput. Appl. 35(3): 2457-2469 (2023) - [j219]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu:
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4051-4070 (2023) - [j218]Arun Kumar, Tanya Chauhan, Srinivasan Natesan, Nhat Truong Pham, Ngoc Duy Nguyen, Chee Peng Lim:
Towards an efficient machine learning model for financial time series forecasting. Soft Comput. 27(16): 11329-11339 (2023) - [j217]Yit Hong Choo, Zheng Cai, Vu Le, Michael Johnstone, Douglas C. Creighton, Chee Peng Lim:
Enhancing the Harris' Hawk optimiser for single- and multi-objective optimisation. Soft Comput. 27(22): 16675-16715 (2023) - [j216]Suriyan Jomthanachai, Wai Peng Wong, Chee Peng Lim:
A Coherent Data Envelopment Analysis to Evaluate the Efficiency of Sustainable Supply Chains. IEEE Trans. Engineering Management 70(1): 294-311 (2023) - [j215]Yang Fei, Peng Shi, Chee Peng Lim, Xin Yuan:
Finite-Time Observer-Based Formation Tracking With Application to Omnidirectional Robots. IEEE Trans. Ind. Electron. 70(10): 10598-10606 (2023) - [j214]Mohammad Reza Chalak Qazani, Houshyar Asadi, Yutao Chen, Moloud Abdar, Mansour A. Karkoub, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Trans. Intell. Transp. Syst. 24(9): 9191-9202 (2023) - [j213]Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators. IEEE Trans. Intell. Veh. 8(1): 390-403 (2023) - [j212]Houshyar Asadi, Tobias Bellmann, Mohammad Reza Chalak Qazani, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators. IEEE Trans. Veh. Technol. 72(6): 7024-7034 (2023) - [c94]Chian Haur Jong, Kai Meng Tay, Yi Wen Kerk, Chee Peng Lim:
Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions. FUZZ 2023: 1-6 - [c93]Mehshan Ahmed Khan, Houshyar Asadi, Thuong N. Hoang, Chee Peng Lim, Saeid Nahavandi:
Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels. ICONIP (9) 2023: 313-325 - [c92]Yinsong Chen, Samson S. Yu, Jason K. Eshraghian, Chee Peng Lim:
Multi-Objective Spiking Neural Network for Optimal Wind Power Prediction Interval. ISCAS 2023: 1-5 - [c91]Mohammad Reza Chalak Qazani, Houshyar Asadi, Arian Shajari, Zoran Najdovski, Chee Peng Lim, Saeid Nahavandi:
A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles. SMC 2023: 3480-3486 - [i9]Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification. CoRR abs/2305.14373 (2023) - [i8]Camilo Gonzalez Arango, Houshyar Asadi, Lars Kooijman, Chee Peng Lim:
Neural Networks for Fast Optimisation in Model Predictive Control: A Review. CoRR abs/2309.02668 (2023) - [i7]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Chee Peng Lim, Kevin Kelly, Fernando Bello:
Machine Learning Meets Advanced Robotic Manipulation. CoRR abs/2309.12560 (2023) - [i6]Chenhao Xu, Chang-Tsun Li, Yongjian Hu, Chee Peng Lim, Douglas C. Creighton:
Deep Learning Techniques for Video Instance Segmentation: A Survey. CoRR abs/2310.12393 (2023) - 2022
- [j211]Ting Yee Lim, Choo Jun Tan, Wai Peng Wong, Chee Peng Lim:
An information entropy-based evolutionary computation for multi-factorial optimization. Appl. Soft Comput. 114: 108071 (2022) - [j210]Li Zhang, Chee Peng Lim, Yonghong Yu, Ming Jiang:
Sound classification using evolving ensemble models and Particle Swarm Optimization. Appl. Soft Comput. 116: 108322 (2022) - [j209]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok Swee Sim, Chee Peng Lim, Pey Yun Goh:
Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification. Appl. Soft Comput. 131: 109756 (2022) - [j208]Feng Zhang, Zi Wei Liu, Chee Peng Lim, Chun-Ru Dong, Qiang Hua:
A model with pseudo-label correction and distribution alignment for image clustering. Comput. Electr. Eng. 104(Part): 108457 (2022) - [j207]Ramalingam Sriraman, Jihad A. Younis, Chee Peng Lim, Porpattama Hammachukiattikul, Grienggrai Rajchakit, Nattakan Boonsatit:
A Sampling Load Frequency Control Scheme for Power Systems with Time Delays. Complex. 2022: 3878321:1-3878321:14 (2022) - [j206]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
An optimal washout filter for motion platform using neural network and fuzzy logic. Eng. Appl. Artif. Intell. 108: 104564 (2022) - [j205]Feng Zhang, Xi-Cheng Li, Chee Peng Lim, Qiang Hua, Chun-Ru Dong, Jun-Hai Zhai:
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition. Inf. Fusion 88: 296-304 (2022) - [j204]Grienggrai Rajchakit, Ramalingam Sriraman, Chee Peng Lim, Bundit Unyong:
Existence, uniqueness and global stability of Clifford-valued neutral-type neural networks with time delays. Math. Comput. Simul. 201: 508-527 (2022) - [j203]Sam Slade, Li Zhang, Yonghong Yu, Chee Peng Lim:
An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images. Neural Comput. Appl. 34(11): 9205-9231 (2022) - [j202]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mehrdad Rostami, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring. IEEE Syst. J. 16(2): 1945-1953 (2022) - [j201]Choo Jun Tan, Ting Yee Lim, Teik Kooi Liew, Chee Peng Lim:
An intelligent tool for early drop-out prediction of distance learning students. Soft Comput. 26(12): 5901-5917 (2022) - [j200]Avinash Kaur, Parminder Singh, Ranbir Singh Batth, Chee Peng Lim:
Deep-Q learning-based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud. Softw. Pract. Exp. 52(3): 689-709 (2022) - [j199]Ning Zhao, Peng Shi, Wen Xing, Chee Peng Lim:
Event-Triggered Control for Networked Systems Under Denial of Service Attacks and Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 69(2): 811-820 (2022) - [j198]Ge Song, Peng Shi, Chee Peng Lim:
Distributed Fault-Tolerant Cooperative Output Regulation for Multiagent Networks Via Fixed-Time Observer and Adaptive Control. IEEE Trans. Control. Netw. Syst. 9(2): 845-855 (2022) - [j197]Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 30(5): 1248-1259 (2022) - [j196]Ning Zhao, Peng Shi, Wen Xing, Chee Peng Lim:
Resilient Adaptive Event-Triggered Fuzzy Tracking Control and Filtering for Nonlinear Networked Systems Under Denial-of-Service Attacks. IEEE Trans. Fuzzy Syst. 30(8): 3191-3201 (2022) - [j195]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform. IEEE Trans. Intell. Transp. Syst. 23(8): 11767-11778 (2022) - [j194]Marwa Ahmed, Ahmed Abobakr, Chee Peng Lim, Saeid Nahavandi:
Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning. IEEE Trans. Intell. Transp. Syst. 23(8): 12562-12571 (2022) - [j193]Mohammad Reza Chalak Qazani, Houshyar Asadi, Li Zhang, Farzin Tabarsinezhad, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network. IEEE Trans. Intell. Transp. Syst. 23(12): 23268-23277 (2022) - [j192]Jun Yuan, Samson S. Yu, Guidong Zhang, Chee Peng Lim, Hieu Trinh, Yun Zhang:
Design and HIL Realization of an Online Adaptive Dynamic Programming Approach for Real-Time Economic Operations of Household Energy Systems. IEEE Trans. Smart Grid 13(1): 330-341 (2022) - [c90]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Sadia Khanam, Adetokunbo Arogbonlo, Darius Nahavandi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation. SMC 2022: 635-641 - [c89]Mohammad Reza Chalak Qazani, Farzin Tabarsinezhad, Houshyar Asadi, Chee Peng Lim, Adetokunbo Arogbonlo, Shehab Alsanwy, Shadi Mohamed, Mehrdad Rostami, Saeid Nahavandi:
A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN. SMC 2022: 1592-1599 - [c88]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mansour A. Karkoub, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles. SMC 2022: 2620-2626 - [c87]Mohammad Reza Chalak Qazani, Mansour A. Karkoub, Houshyar Asadi, Chee Peng Lim, Alan Wee-Chung Liew, Saeid Nahavandi:
Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles. SMC 2022: 2820-2826 - [c86]Sari Al-Serri, Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Adetokunbo Arogbonlo, Ahmad Abu Alqumsan, Shehab Alsanwy, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm. SMC 2022: 3317-3323 - [c85]Pin Chen, Chee Peng Lim, Alex Gorod, Liming Zhu:
Towards a Taxonomy of Approaches to Modern Complex Systems. SoSE 2022: 410-415 - 2021
- [j191]Tom Lawrence, Li Zhang, Chee Peng Lim, Emma-Jane Phillips:
Particle Swarm Optimization for Automatically Evolving Convolutional Neural Networks for Image Classification. IEEE Access 9: 14369-14386 (2021) - [j190]Suriyan Jomthanachai, Wai Peng Wong, Chee Peng Lim:
An Application of Data Envelopment Analysis and Machine Learning Approach to Risk Management. IEEE Access 9: 85978-85994 (2021) - [j189]Nattakan Boonsatit, Ramalingam Sriraman, Thaned Rojsiraphisal, Chee Peng Lim, Porpattama Hammachukiattikul, Grienggrai Rajchakit:
Finite-Time Synchronization of Clifford-Valued Neural Networks With Infinite Distributed Delays and Impulses. IEEE Access 9: 111050-111061 (2021) - [j188]Grienggrai Rajchakit, Ramalingam Sriraman, P. Vignesh, Chee Peng Lim:
Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis. Appl. Math. Comput. 407: 126309 (2021) - [j187]Farhad Pourpanah, Di Wang, Ran Wang, Chee Peng Lim:
A semisupervised learning model based on fuzzy min-max neural networks for data classification. Appl. Soft Comput. 112: 107856 (2021) - [j186]Nattakan Boonsatit, R. Sugumar, D. Ajay, Grienggrai Rajchakit, Chee Peng Lim, Porpattama Hammachukiattikul, M. Usha, Praveen Agarwal:
Mixed ℋ -Infinity and Passive Synchronization of Markovian Jumping Neutral-Type Complex Dynamical Networks with Randomly Occurring Distributed Coupling Time-Varying Delays and Actuator Faults. Complex. 2021: 5553884:1-5553884:19 (2021) - [j185]Thangavel Poongodi, Prem Prakash Mishra, Chee Peng Lim, Thangavel Saravanakumar, Nattakan Boonsatit, Porpattama Hammachukiattikul, Grienggrai Rajchakit:
TS Fuzzy Robust Sampled-Data Control for Nonlinear Systems with Bounded Disturbances. Comput. 9(12): 132 (2021) - [j184]Li Zhang, Chee Peng Lim, Yonghong Yu:
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization. Knowl. Based Syst. 220: 106918 (2021) - [j183]Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Han Liu:
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models. Sensors 21(5): 1816 (2021) - [j182]Tom Lawrence, Li Zhang, Kay Rogage, Chee Peng Lim:
Evolving Deep Architecture Generation with Residual Connections for Image Classification Using Particle Swarm Optimization. Sensors 21(23): 7936 (2021) - [j181]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi:
Prediction of Motion Simulator Signals Using Time-Series Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 57(5): 3383-3392 (2021) - [j180]Yi Wen Kerk, Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function. IEEE Trans. Fuzzy Syst. 29(7): 1864-1873 (2021) - [c84]Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs. ICM 2021: 1-6 - [c83]Marwa Ahmed, Chee Peng Lim, Saeid Nahavandi:
A Deep Q-Network Reinforcement Learning-Based Model for Autonomous Driving. SMC 2021: 739-744 - [c82]Justin Stark, Chee Peng Lim, Saeid Nahavandi:
Design Considerations within Cloud Based System-of-Systems Architecture Framework. SMC 2021: 807-812 - [c81]Mohammad Reza Chalak Qazani, Houshyar Asadi, Adetokunbo Arogbonlo, Ghazal Rahimzadeh, Shady M. K. Mohamed, Siamak Pedrammehr, Chee Peng Lim, Saeid Nahavandi:
Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. SMC 2021: 1042-1048 - [c80]Mohammad Reza Chalak Qazani, Houshyar Asadi, Shady M. K. Mohamed, Ahmad Abu Alqumsan, Ghazal Rahimzadeh, Chee Peng Lim, Saeid Nahavandi:
An MPC-based Motion Cueing Algorithm Using Washout Speed and Grey Wolf Optimizer. SMC 2021: 1627-1633 - [c79]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin:
A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles. SMC 2021: 1869-1875 - 2020
- [j179]Lie Meng Pang, Kai Meng Tay, Chee Peng Lim, Hisao Ishibuchi:
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Access 8: 144908-144930 (2020) - [j178]Hailun Xie, Li Zhang, Chee Peng Lim:
Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer. IEEE Access 8: 161519-161541 (2020) - [j177]Joseph Dianavinnarasi, Yang Cao, Ramachandran Raja, Grienggrai Rajchakit, Chee Peng Lim:
Delay-dependent stability criteria of delayed positive systems with uncertain control inputs: Application in mosquito-borne morbidities control. Appl. Math. Comput. 382: 125210 (2020) - [j176]Li Zhang, Chee Peng Lim:
Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models. Appl. Soft Comput. 92: 106328 (2020) - [j175]Shiqi Zheng, Peng Shi, Ramesh K. Agarwal, Chee Peng Lim:
Periodic event-triggered output regulation for linear multi-agent systems. Autom. 122: 109223 (2020) - [j174]S. R. Saratha, Sai Sundara Krishnan Gangadharan, Morachan Bagyalakshmi, Chee Peng Lim:
Solving Black-Scholes equations using fractional generalized homotopy analysis method. Comput. Appl. Math. 39(4) (2020) - [j173]Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew, Saeid Nahavandi, Richard Dazeley, Chee Peng Lim:
A multi-objective deep reinforcement learning framework. Eng. Appl. Artif. Intell. 96: 103915 (2020) - [j172]Amin Khatami, Asef Nazari, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging. Expert Syst. Appl. 149: 113196 (2020) - [j171]Teck Yan Tan, Li Zhang, Chee Peng Lim:
Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks. Knowl. Based Syst. 187 (2020) - [j170]Pharunyou Chanthorn, Grienggrai Rajchakit, Usa Humphries, Pramet Kaewmesri, Ramalingam Sriraman, Chee Peng Lim:
A Delay-Dividing Approach to Robust Stability of Uncertain Stochastic Complex-Valued Hopfield Delayed Neural Networks. Symmetry 12(5): 683 (2020) - [j169]Ramalingam Sriraman, Grienggrai Rajchakit, Chee Peng Lim, Pharunyou Chanthorn, Rajendran Samidurai:
Discrete-Time Stochastic Quaternion-Valued Neural Networks with Time Delays: An Asymptotic Stability Analysis. Symmetry 12(6): 936 (2020) - [j168]Usa Humphries, Grienggrai Rajchakit, Ramalingam Sriraman, Pramet Kaewmesri, Pharunyou Chanthorn, Chee Peng Lim, Rajendran Samidurai:
An Extended Analysis on Robust Dissipativity of Uncertain Stochastic Generalized Neural Networks with Markovian Jumping Parameters. Symmetry 12(6): 1035 (2020) - [j167]Osama Nayel Al Sayaydeh, Mohammed Falah Mohammed, Essam Alhroob, Hai Tao, Chee Peng Lim:
A Refined Fuzzy Min-Max Neural Network With New Learning Procedures for Pattern Classification. IEEE Trans. Fuzzy Syst. 28(10): 2480-2494 (2020) - [j166]Mohammad Reza Chalak Qazani, Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform With Consideration of Joints' Limitations. IEEE Trans. Veh. Technol. 69(11): 12547-12558 (2020) - [i5]Shiqi Zheng, Peng Shi, Ramesh K. Agarwal, Chee Peng Lim:
Periodic event-triggered output regulation for linear multi-agent systems. CoRR abs/2003.03560 (2020) - [i4]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani:
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. CoRR abs/2011.05700 (2020) - [i3]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang:
A Review of Generalized Zero-Shot Learning Methods. CoRR abs/2011.08641 (2020)
2010 – 2019
- 2019
- [j165]Teck Yan Tan, Li Zhang, Chee Peng Lim, Ben Fielding, Yonghong Yu, Emma Anderson:
Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization. IEEE Access 7: 34004-34019 (2019) - [j164]Essam Alhroob, Mohammed Falah Mohammed, Chee Peng Lim, Hai Tao:
A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification. IEEE Access 7: 56129-56146 (2019) - [j163]Shen Yuong Wong, Keem Siah Yap, Chee Peng Lim, Eric Wai Ming Lee:
Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network. IEEE Access 7: 116438-116452 (2019) - [j162]A. Pratap, Ramachandran Raja, Jinde Cao, Chee Peng Lim, Ovidiu Bagdasar:
Stability and pinning synchronization analysis of fractional order delayed Cohen-Grossberg neural networks with discontinuous activations. Appl. Math. Comput. 359: 241-260 (2019) - [j161]Farhad Pourpanah, Yuhui Shi, Chee Peng Lim, Qi Hao, Choo Jun Tan:
Feature selection based on brain storm optimization for data classification. Appl. Soft Comput. 80: 761-775 (2019) - [j160]Teck Yan Tan, Li Zhang, Chee Peng Lim:
Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models. Appl. Soft Comput. 84 (2019) - [j159]Hailun Xie, Li Zhang, Chee Peng Lim, Yonghong Yu, Chengyu Liu, Han Liu, Julie Walters:
Improving K-means clustering with enhanced Firefly Algorithms. Appl. Soft Comput. 84 (2019) - [j158]Li Zhang, Chee Peng Lim, Jungong Han:
Complex Deep Learning and Evolutionary Computing Models in Computer Vision. Complex. 2019: 1671340:1-1671340:2 (2019) - [j157]Farhad Pourpanah, Chee Peng Lim, Xizhao Wang, Choo Jun Tan, Manjeevan Seera, Yuhui Shi:
A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. Neurocomputing 333: 440-451 (2019) - [j156]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan:
An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing 359: 139-152 (2019) - [j155]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
A scalarization-based dominance evolutionary algorithm for many-objective optimization. Inf. Sci. 474: 236-252 (2019) - [j154]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah, Chee Peng Lim:
Adaptive rough radial basis function neural network with prototype outlier removal. Inf. Sci. 505: 127-143 (2019) - [j153]Choo Jun Tan, Siew Chin Neoh, Chee Peng Lim, Samer Hanoun, Wai Peng Wong, Chu Kong Loo, Li Zhang, Saeid Nahavandi:
Application of an evolutionary algorithm-based ensemble model to job-shop scheduling. J. Intell. Manuf. 30(2): 879-890 (2019) - [j152]Farhad Pourpanah, Chee Peng Lim, Qi Hao:
A reinforced fuzzy ARTMAP model for data classification. Int. J. Mach. Learn. Cybern. 10(7): 1643-1655 (2019) - [j151]Li Zhang, Chee Peng Lim, Jungong Han:
Guest editorial: Automatic facial and bodily expression perception for human behaviour understanding. Multim. Tools Appl. 78(21): 30331-30334 (2019) - [j150]Tae H. Lee, Chee Peng Lim, Saeid Nahavandi, Rodney G. Roberts:
Observer-Based $\mathcal{H}_{\infty }$ Fault-Tolerant Control for Linear Systems With Sensor and Actuator Faults. IEEE Syst. J. 13(2): 1981-1990 (2019) - [j149]Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi:
A Review of Situation Awareness Assessment Approaches in Aviation Environments. IEEE Syst. J. 13(3): 3590-3603 (2019) - [j148]Shin Siang Choong, Li-Pei Wong, Chee Peng Lim:
An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem. Swarm Evol. Comput. 44: 622-635 (2019) - [j147]Osama Nayel Al Sayaydeh, Mohammed Falah Mohammed, Chee Peng Lim:
Survey of Fuzzy Min-Max Neural Network for Pattern Classification Variants and Applications. IEEE Trans. Fuzzy Syst. 27(4): 635-645 (2019) - [j146]Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
Monotone Interval Fuzzy Inference Systems. IEEE Trans. Fuzzy Syst. 27(11): 2255-2264 (2019) - [j145]Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Saeid Nahavandi:
Increasing Motion Fidelity in Driving Simulators Using a Fuzzy-Based Washout Filter. IEEE Trans. Intell. Veh. 4(2): 298-308 (2019) - [c78]Kais I. Al-Abdullah, Chee Peng Lim, Zoran Najdovski, Wisam Yassin:
Optimization of the Milling Parameters of a Robotic-based Bone Milling System. ICIT 2019: 163-168 - [c77]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. ICONIP (1) 2019: 596-607 - [c76]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators. SMC 2019: 1245-1250 - [c75]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
An Improved Scalarization-based Dominance Evolutionary Algorithm for Many-Objective Optimization. SysCon 2019: 1-5 - 2018
- [j144]Kuldeep Randhawa, Chu Kiong Loo, Manjeevan Seera, Chee Peng Lim, Asoke K. Nandi:
Credit Card Fraud Detection Using AdaBoost and Majority Voting. IEEE Access 6: 14277-14284 (2018) - [j143]Thanh Nguyen, Imali Hettiarachchi, Amin Khatami, Lee Gordon-Brown, Chee Peng Lim, Saeid Nahavandi:
Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System. IEEE Access 6: 27873-27884 (2018) - [j142]Anisia Jati Sang, Kai Meng Tay, Chee Peng Lim, Saeid Nahavandi:
Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives. IEEE Access 6: 74628-74647 (2018) - [j141]Basem O. Alijla, Chee Peng Lim, Li-Pei Wong, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar:
An ensemble of intelligent water drop algorithm for feature selection optimization problem. Appl. Soft Comput. 65: 531-541 (2018) - [j140]Manjeevan Seera, Chee Peng Lim, Shing Chiang Tan:
A hybrid FAM-CART model for online data classification. Comput. Intell. 34(2): 562-581 (2018) - [j139]Shin Siang Choong, Li-Pei Wong, Chee Peng Lim:
A dynamic fuzzy-based dance mechanism for the bee colony optimization algorithm. Comput. Intell. 34(4): 999-1024 (2018) - [j138]Fung Fung Ting, Kok Swee Sim, Chee Peng Lim:
Case-control comparison brain lesion segmentation for early infarct detection. Comput. Medical Imaging Graph. 69: 82-95 (2018) - [j137]Li Zhang, Kamlesh Mistry, Chee Peng Lim, Siew Chin Neoh:
Feature selection using firefly optimization for classification and regression models. Decis. Support Syst. 106: 64-85 (2018) - [j136]Li Zhang, Worawut Srisukkham, Siew Chin Neoh, Chee Peng Lim, Diptangshu Pandit:
Classifier ensemble reduction using a modified firefly algorithm: An empirical evaluation. Expert Syst. Appl. 93: 395-422 (2018) - [j135]Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test. Int. J. Fuzzy Syst. 20(6): 1915-1924 (2018) - [j134]Manjeevan Seera, Kuldeep Randhawa, Chee Peng Lim:
Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees. Neurocomputing 275: 1744-1751 (2018) - [j133]Shin Siang Choong, Li-Pei Wong, Chee Peng Lim:
Automatic design of hyper-heuristic based on reinforcement learning. Inf. Sci. 436-437: 89-107 (2018) - [j132]Tae H. Lee, Chee Peng Lim, Saeid Nahavandi, Ju H. Park:
Network-based synchronization of T-S fuzzy chaotic systems with asynchronous samplings. J. Frankl. Inst. 355(13): 5736-5758 (2018) - [j131]Houshyar Asadi, Chee Peng Lim, Arash Mohammadi, Shady M. K. Mohamed, Saeid Nahavandi, Shanmugam Lakshmanan:
A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator. J. Syst. Control. Eng. 232(8): 1025-1038 (2018) - [j130]Diptangshu Pandit, Li Zhang, Samiran Chattopadhyay, Chee Peng Lim, Chengyu Liu:
A scattering and repulsive swarm intelligence algorithm for solving global optimization problems. Knowl. Based Syst. 156: 12-42 (2018) - [j129]Teck Yan Tan, Li Zhang, Siew Chin Neoh, Chee Peng Lim:
Intelligent skin cancer detection using enhanced particle swarm optimization. Knowl. Based Syst. 158: 118-135 (2018) - [j128]Chin Ying Teh, Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework. IEEE Trans. Fuzzy Syst. 26(6): 3860-3874 (2018) - [j127]Hailing Zhou, Lei Wei, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning. IEEE Trans. Geosci. Remote. Sens. 56(12): 7074-7085 (2018) - [j126]Shanmugam Lakshmanan, Mani Prakash, Chee Peng Lim, Rajan Rakkiyappan, Pagavathigounder Balasubramaniam, Saeid Nahavandi:
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication. IEEE Trans. Neural Networks Learn. Syst. 29(1): 195-207 (2018) - [c74]Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi:
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. BMVC 2018: 301 - [c73]Masoud Abdi, Chee Peng Lim, Shady M. K. Mohamed, Saeid Nahavandi, Ehsan Abbasnejad, Anton van den Hengel:
Discriminative Clustering of High-Dimensional Data Using Generative Modeling. MWSCAS 2018: 799-802 - [c72]Navid Mohajer, Houshyar Asadi, Saeid Nahavandi, Chee Peng Lim:
Evaluation of the Path Tracking Performance of Autonomous Vehicles Using the Universal Motion Simulator. SMC 2018: 2115-2121 - [c71]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
Multi-objective job shop scheduling using i-NSGA-III. SysCon 2018: 1-5 - [i2]Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen, Lee Gordon-Brown, Saeid Nahavandi:
A Review of Situation Awareness Assessment Approaches in Aviation Environments. CoRR abs/1803.08067 (2018) - [i1]Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi:
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. CoRR abs/1807.05380 (2018) - 2017
- [j125]Mohammed Falah Mohammed, Chee Peng Lim:
Improving the Fuzzy Min-Max neural network with a K-nearest hyperbox expansion rule for pattern classification. Appl. Soft Comput. 52: 135-145 (2017) - [j124]Farhad Pourpanah, Choo Jun Tan, Chee Peng Lim, Junita Mohamad-Saleh:
A Q-learning-based multi-agent system for data classification. Appl. Soft Comput. 52: 519-531 (2017) - [j123]Worawut Srisukkham, Li Zhang, Siew Chin Neoh, Stephen Todryk, Chee Peng Lim:
Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization. Appl. Soft Comput. 56: 405-419 (2017) - [j122]Diptangshu Pandit, Li Zhang, Chengyu Liu, Samiran Chattopadhyay, Nauman Aslam, Chee Peng Lim:
A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm. Comput. Methods Programs Biomed. 144: 61-75 (2017) - [j121]Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A new PSO-based approach to fire flame detection using K-Medoids clustering. Expert Syst. Appl. 68: 69-80 (2017) - [j120]Amin Khatami, Abbas Khosravi, Thanh Nguyen, Chee Peng Lim, Saeid Nahavandi:
Medical image analysis using wavelet transform and deep belief networks. Expert Syst. Appl. 86: 190-198 (2017) - [j119]Mahardhika Pratama, Edwin Lughofer, Chee Peng Lim, Wenny Rahayu, Tharam S. Dillon, Agus Budiyono:
pClass+: A Novel Evolving Semi-Supervised Classifier. Int. J. Fuzzy Syst. 19(3): 863-880 (2017) - [j118]Shanmugam Lakshmanan, Chee Peng Lim, Mani Prakash, Saeid Nahavandi, Pagavathigounder Balasubramaniam:
Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach. Neurocomputing 230: 243-250 (2017) - [j117]Manjeevan Seera, Chee Peng Lim, Kay Sin Tan, Wei Shiung Liew:
Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks. Neurocomputing 249: 337-344 (2017) - [j116]Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, Sreenatha G. Anavatti, Chee Peng Lim:
Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. Neurocomputing 262: 4-27 (2017) - [j115]Kim Hua Tan, Guojun Ji, Chee Peng Lim, Ming-Lang Tseng:
Using big data to make better decisions in the digital economy. Int. J. Prod. Res. 55(17): 4998-5000 (2017) - [j114]K. Sivaranjani, R. Rakkiyappan, Shanmugam Lakshmanan, Chee Peng Lim:
Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations. IMA J. Math. Control. Inf. 34(1): 337-357 (2017) - [j113]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah, Chee Peng Lim:
Reducing the complexity of an adaptive radial basis function network with a histogram algorithm. Neural Comput. Appl. 28(S-1): 365-378 (2017) - [j112]Mohammed Falah Mohammed, Chee Peng Lim:
A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min-max neural network. Neural Networks 86: 69-79 (2017) - [j111]Wui Lee Chang, Kai Meng Tay, Chee Peng Lim:
A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization. Neural Process. Lett. 46(2): 379-409 (2017) - [j110]Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis. IEEE Syst. J. 11(3): 1589-1600 (2017) - [j109]Kamlesh Mistry, Li Zhang, Siew Chin Neoh, Chee Peng Lim, Ben Fielding:
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition. IEEE Trans. Cybern. 47(6): 1496-1509 (2017) - [j108]Shanmugam Lakshmanan, Chee Peng Lim, Saeid Nahavandi, Mani Prakash, P. Balasubramaniam:
Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1953-1958 (2017) - [j107]Houshyar Asadi, Shady M. K. Mohamed, Chee Peng Lim, Saeid Nahavandi:
Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 47(2): 238-254 (2017) - [c70]Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods. FUZZ-IEEE 2017: 1-7 - [c69]Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi:
A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features. ICONIP (4) 2017: 307-316 - [c68]Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim:
A randomized neural network for data streams. IJCNN 2017: 3423-3430 - [c67]Lik Xun Yuan, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim, Junzo Watada:
Fuzzy ARTMAP with Binary Relevance for Multi-label Classification. KES-IDT (2) 2017: 127-135 - [c66]Shin Siang Choong, Li-Pei Wong, Chee Peng Lim:
An artificial bee colony algorithm with a modified choice function for the Traveling Salesman Problem. SMC 2017: 357-362 - [c65]Burhan Khan, Samer Hanoun, Michael Johnstone, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
A new decomposition-based evolutionary framework for many-objective optimization. SysCon 2017: 1-7 - 2016
- [j106]Hussein Samma, Chee Peng Lim, Junita Mohamad-Saleh:
A new Reinforcement Learning-based Memetic Particle Swarm Optimizer. Appl. Soft Comput. 43: 276-297 (2016) - [j105]Kok Chin Chai, Chian Haur Jong, Kai Meng Tay, Chee Peng Lim:
A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming. Appl. Soft Comput. 49: 734-747 (2016) - [j104]Farhad Pourpanah, Chee Peng Lim, Junita Mohamad-Saleh:
A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction. Expert Syst. Appl. 49: 74-85 (2016) - [j103]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, Edwin Lughofer, Chee Peng Lim:
An incremental meta-cognitive-based scaffolding fuzzy neural network. Neurocomputing 171: 89-105 (2016) - [j102]Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
A new method to rank fuzzy numbers using Dempster-Shafer theory with fuzzy targets. Inf. Sci. 346-347: 302-317 (2016) - [j101]R. Rakkiyappan, Rathinasamy Sasirekha, Shanmugam Lakshmanan, Chee Peng Lim:
Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control. J. Frankl. Inst. 353(16): 4300-4329 (2016) - [j100]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning. J. Intell. Manuf. 27(6): 1273-1285 (2016) - [j99]Li Zhang, Kamlesh Mistry, Siew Chin Neoh, Chee Peng Lim:
Intelligent facial emotion recognition using moth-firefly optimization. Knowl. Based Syst. 111: 248-267 (2016) - [j98]Hussein Samma, Chee Peng Lim, Junita Mohamad-Saleh, Shahrel Azmin Suandi:
A memetic-based fuzzy support vector machine model and its application to license plate recognition. Memetic Comput. 8(3): 235-251 (2016) - [j97]Lie Meng Pang, Kai Meng Tay, Chee Peng Lim:
Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 24(6): 1455-1463 (2016) - [j96]Hui-Lee Ooi, Manjeevan Seera, Siew-Cheok Ng, Chee Peng Lim, Chu Kiong Loo, Nigel H. Lovell, Stephen James Redmond, Einly Lim:
Classification of Implantable Rotary Blood Pump States With Class Noise. IEEE J. Biomed. Health Informatics 20(3): 829-837 (2016) - [j95]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Harapajan Singh:
Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2760-2767 (2016) - [c64]Yi Wen Kerk, Lie Meng Pang, Kai Meng Tay, Chee Peng Lim:
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test. FUZZ-IEEE 2016: 94-101 - [c63]Amin Khatami, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A Wavelet Deep Belief Network-Based Classifier for Medical Images. ICONIP (3) 2016: 467-474 - [c62]Shing Chiang Tan, Chee Peng Lim, Junzo Watada:
A Memetic Fuzzy ARTMAP by a Grammatical Evolution Approach. KES-IDT (1) 2016: 447-456 - [c61]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Chee Peng Lim, Amin Khatami, Abbas Khosravi, Saeid Nahavandi:
A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity. SMC 2016: 1963-1968 - [c60]Burhan Khan, Michael Johnstone, Samer Hanoun, Chee Peng Lim, Douglas C. Creighton, Saeid Nahavandi:
Improved NSGA-III using neighborhood information and scalarization. SMC 2016: 3033-3038 - [e2]Robert J. Howlett, Lakhmi C. Jain, Bogdan Gabrys, Carlos Toro, Chee Peng Lim:
Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, York, UK, 5-7 September 2016. Procedia Computer Science 96, Elsevier 2016 [contents] - 2015
- [j94]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Harapajan Singh:
A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring. Appl. Soft Comput. 28: 19-29 (2015) - [j93]Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
A new fuzzy peer assessment methodology for cooperative learning of students. Appl. Soft Comput. 32: 468-480 (2015) - [j92]Siew Chin Neoh, Li Zhang, Kamlesh Mistry, Mohammed Alamgir Hossain, Chee Peng Lim, Nauman Aslam, Philip Kinghorn:
Intelligent facial emotion recognition using a layered encoding cascade optimization model. Appl. Soft Comput. 34: 72-93 (2015) - [j91]Feng Zhang, Joshua Ignatius, Yajun Zhao, Chee Peng Lim, Mohammad Reza Ghasemi, Peh Sang Ng:
An improved consensus-based group decision making model with heterogeneous information. Appl. Soft Comput. 35: 850-863 (2015) - [j90]Sara Keretna, Chee Peng Lim, Douglas C. Creighton, Khaled Bashir Shaban:
Enhancing medical named entity recognition with an extended segment representation technique. Comput. Methods Programs Biomed. 119(2): 88-100 (2015) - [j89]Manjeevan Seera, Chee Peng Lim, Wei Shiung Liew, Einly Lim, Chu Kiong Loo:
Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models. Expert Syst. Appl. 42(7): 3643-3652 (2015) - [j88]Wui Lee Chang, Kai Meng Tay, Chee Peng Lim:
Clustering and visualization of failure modes using an evolving tree. Expert Syst. Appl. 42(20): 7235-7244 (2015) - [j87]Basem O. Alijla, Li-Pei Wong, Chee Peng Lim, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar:
An ensemble of intelligent water drop algorithms and its application to optimization problems. Inf. Sci. 325: 175-189 (2015) - [j86]Chee Peng Lim, Margarita N. Favorskaya, Lakhmi C. Jain:
Guest editorial: Special issue on advances in intelligent data processing and analysis. Neural Comput. Appl. 26(2): 251-252 (2015) - [j85]Jin Wang, Chee Peng Lim, Douglas C. Creighton, Abbas Khosravi, Saeid Nahavandi, Julien Ugon, Peter Vamplew, Andrew Stranieri, Laura Martin, Anton Freischmidt:
Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction. Neural Comput. Appl. 26(2): 277-289 (2015) - [j84]Chee Peng Lim, Margarita N. Favorskaya, Lakhmi C. Jain:
Special issue: advances in intelligent data processing and analysis (part II). Neural Comput. Appl. 26(3): 493-494 (2015) - [j83]Kai Meng Tay, Chian Haur Jong, Chee Peng Lim:
A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry. Neural Comput. Appl. 26(3): 551-560 (2015) - [j82]Manjeevan Seera, Chee Peng Lim, Shing Chiang Tan, Chu Kiong Loo:
A hybrid FAM-CART model and its application to medical data classification. Neural Comput. Appl. 26(8): 1799-1811 (2015) - [j81]Mohammed Falah Mohammed, Chee Peng Lim:
An Enhanced Fuzzy Min-Max Neural Network for Pattern Classification. IEEE Trans. Neural Networks Learn. Syst. 26(3): 417-429 (2015) - [j80]Tze Ling Jee, Kai Meng Tay, Chee Peng Lim:
A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis. IEEE Trans. Reliab. 64(3): 869-877 (2015) - [c59]Rakesh Veerabhadrappa, Asim Bhatti, Chee Peng Lim, Thanh Nguyen, Susannah J. Tye, Paul Monaghan, Saeid Nahavandi:
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes. ICONIP (3) 2015: 261-272 - [c58]Shanmugam Lakshmanan, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi:
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. ICONIP (3) 2015: 297-305 - [c57]Shing Chiang Tan, Chee Peng Lim:
Evolving an Adaptive Artificial Neural Network with a Gravitational Search Algorithm. KES-IDT 2015: 599-609 - [c56]Sara Keretna, Chee Peng Lim, Douglas C. Creighton:
Enhancement of Medical Named Entity Recognition Using Graph-Based Features. SMC 2015: 1895-1900 - [c55]Choo Jun Tan, Samer Hanoun, Chee Peng Lim:
A multi-objective evolutionary algorithm-based decision support system: A case study on job-shop scheduling in manufacturing. SysCon 2015: 170-174 - 2014
- [j79]Mojdeh Nasir, Chee Peng Lim, Saeid Nahavandi, Douglas C. Creighton:
Inclusion of environmental effects in steering behaviour modelling using fuzzy logic. Expert Syst. Appl. 41(4): 1901-1914 (2014) - [j78]Manjeevan Seera, Chee Peng Lim:
A hybrid intelligent system for medical data classification. Expert Syst. Appl. 41(5): 2239-2249 (2014) - [j77]Manjeevan Seera, Chee Peng Lim, Saeid Nahavandi, Chu Kiong Loo:
Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models. Expert Syst. Appl. 41(10): 4891-4903 (2014) - [j76]Mojdeh Nasir, Chee Peng Lim, Saeid Nahavandi, Douglas C. Creighton:
Prediction of pedestrians routes within a built environment in normal conditions. Expert Syst. Appl. 41(10): 4975-4988 (2014) - [j75]Basem O. Alijla, Li-Pei Wong, Chee Peng Lim, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar:
A modified Intelligent Water Drops algorithm and its application to optimization problems. Expert Syst. Appl. 41(15): 6555-6569 (2014) - [j74]Lakhmi C. Jain, Chee Peng Lim:
Advances in bio-inspired computing: Techniques and applications. Neurocomputing 125: 183 (2014) - [j73]Choo Jun Tan, Chee Peng Lim, Yu-N Cheah:
A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models. Neurocomputing 125: 217-228 (2014) - [j72]Feng Zhang, Joshua Ignatius, Chee Peng Lim, Yajun Zhao:
A new method for deriving priority weights by extracting consistent numerical-valued matrices from interval-valued fuzzy judgement matrix. Inf. Sci. 279: 280-300 (2014) - [j71]Feng Zhang, Joshua Ignatius, Chee Peng Lim, Mark Goh:
A two-stage dynamic group decision making method for processing ordinal information. Knowl. Based Syst. 70: 189-202 (2014) - [j70]Mohammed Falah Mohammed, Chee Peng Lim, Anas Quteishat:
A novel trust measurement method based on certified belief in strength for a multi-agent classifier system. Neural Comput. Appl. 24(2): 421-429 (2014) - [j69]Manjeevan Seera, Chee Peng Lim:
Transfer learning using the online Fuzzy Min-Max neural network. Neural Comput. Appl. 25(2): 469-480 (2014) - [j68]Lakhmi C. Jain, Manjeevan Seera, Chee Peng Lim, Pagavathigounder Balasubramaniam:
A review of online learning in supervised neural networks. Neural Comput. Appl. 25(3-4): 491-509 (2014) - [j67]V. P. Ananthi, Pagavathigounder Balasubramaniam, Chee Peng Lim:
Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions. Pattern Recognit. 47(12): 3870-3880 (2014) - [j66]Mojdeh Nasir, Chee Peng Lim, Saeid Nahavandi, Douglas C. Creighton:
A genetic fuzzy system to model pedestrian walking path in a built environment. Simul. Model. Pract. Theory 45: 18-34 (2014) - [j65]Manjeevan Seera, Chee Peng Lim:
Online Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model. IEEE Trans. Neural Networks Learn. Syst. 25(4): 806-812 (2014) - [c54]Feng Zhang, Joshua Ignatius, Chee Peng Lim, Yong Zhang:
A hybrid weighted aggregation method based on consistency and consensus in group decision making. FUZZ-IEEE 2014: 11-17 - [c53]Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
A new fuzzy ranking method using fuzzy preference relations. FUZZ-IEEE 2014: 293-297 - [c52]Lie Meng Pang, Kai Meng Tay, Chee Peng Lim:
A new monotonicity index for fuzzy rule-based systems. FUZZ-IEEE 2014: 1566-1570 - [c51]Chian Haur Jong, Kai Meng Tay, Chee Peng Lim:
A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system. FUZZ-IEEE 2014: 1586-1590 - [c50]Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim:
A new interval-based method for handling non-monotonic information. FUZZ-IEEE 2014: 2178-2183 - [c49]Tze Ling Jee, Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions. FUZZ-IEEE 2014: 2192-2197 - [c48]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Transfer Learning Using the Online FMM Model. ICONIP (1) 2014: 151-158 - [c47]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo:
Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model. ICONIP (3) 2014: 381-389 - [c46]Wui Lee Chang, Kai Meng Tay, Chee Peng Lim:
A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology. ICONIP (3) 2014: 415-422 - [c45]Vu Thanh Le, Arthur Filippidis, Chee Peng Lim, Wael Abdelrahman, Saeid Nahavandi:
Mini-Micro Unmanned Aerial Vehicle Intelligence: A Threat to Land Vehicles. IDT/IIMSS/STET 2014: 79-91 - [c44]Shing Chiang Tan, Chee Peng Lim, Manjeevan Seera:
An Online Transfer Learning RBF Neural Network for Cross Domain Data Classification. IDT/IIMSS/STET 2014: 210-218 - [c43]Manjeevan Seera, Chu Kiong Loo, Chee Peng Lim:
A hybrid FMM-CART model for human activity recognition. SMC 2014: 182-187 - [c42]Sara Keretna, Chee Peng Lim, Douglas C. Creighton, Khaled Bashir Shaban:
Classification ensemble to improve medical Named Entity Recognition. SMC 2014: 2630-2636 - [c41]Manjeevan Seera, Chee Peng Lim, Chu Kiong Loo, Lakhmi C. Jain:
Data Clustering Using a Modified Fuzzy Min-Max Neural Network. SOFA (1) 2014: 413-422 - [c40]Sara Keretna, Chee Peng Lim, Douglas C. Creighton:
A hybrid model for named entity recognition using unstructured medical text. SoSE 2014: 85-90 - 2013
- [j64]Manjeevan Seera, Chee Peng Lim, Dahaman Ishak, Harapajan Singh:
Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model. Appl. Soft Comput. 13(12): 4493-4507 (2013) - [j63]Chee Peng Lim, Canicious Abeynayake, Mika Sato-Ilic, Lakhmi C. Jain:
Special issue: Computational intelligence models for image processing and information reasoning. J. Intell. Fuzzy Syst. 24(2): 199-200 (2013) - [j62]Woi Seng Ooi, Chee Peng Lim:
Multi-objective image segmentation with an interactive evolutionary computation approach. J. Intell. Fuzzy Syst. 24(2): 239-249 (2013) - [j61]Chee Peng Lim, Valentina Emilia Balas, Quoc Do:
Special issue recent advances in soft computing: Theories and applications. J. Intell. Fuzzy Syst. 24(3): 415-416 (2013) - [j60]Choo Jun Tan, Chee Peng Lim, Yu-N Cheah:
A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems. J. Intell. Fuzzy Syst. 24(3): 483-495 (2013) - [j59]Manjeevan Seera, Chee Peng Lim, Dahaman Ishak, Harapajan Singh:
Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors. Neural Comput. Appl. 23(Supplement-1): 191-200 (2013) - [c39]Hussein Samma, Chee Peng Lim, Umi Kalthum Ngah:
A Hybrid PSO-FSVM Model and Its Application to Imbalanced Classification of Mammograms. ACIIDS (1) 2013: 275-284 - [c38]Basem O. Alijla, Chee Peng Lim, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar:
Intelligent Water Drops Algorithm for Rough Set Feature Selection. ACIIDS (2) 2013: 356-365 - [c37]Kok Chin Chai, Kai Meng Tay, Chee Peng Lim:
A new Dempster-Shafer Theory-based method with fuzzy targets for Fuzzy Sets ranking. FUZZ-IEEE 2013 - [c36]Wui Lee Chang, Kai Meng Tay, Chee Peng Lim:
Enhancing an Evolving Tree-based text document visualization model with Fuzzy c-Means clustering. FUZZ-IEEE 2013: 1-6 - [c35]Kai Meng Tay, Tze Ling Jee, Lie Meng Pang, Chee Peng Lim:
A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems. FUZZ-IEEE 2013 - [c34]Kai Meng Tay, Lie Meng Pang, Tze Ling Jee, Chee Peng Lim:
A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems. FUZZ-IEEE 2013: 1-8 - [c33]Chin Ying Teh, Kai Meng Tay, Chee Peng Lim:
Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property. FUZZ-IEEE 2013: 1-7 - [c32]Hailing Zhou, Shady M. K. Mohamed, Asim Bhatti, Chee Peng Lim, Nong Gu, Sherif Haggag, Saeid Nahavandi:
Spike Sorting Using Hidden Markov Models. ICONIP (1) 2013: 553-560 - [c31]Marzieh Asgari, Hamid Abdi, Chee Peng Lim, Saeid Nahavandi:
Formulation and Simulation of a 3D Mechanical Model of Embryos for Microinjection. SMC 2013: 2219-2224 - [c30]Hailing Zhou, Douglas C. Creighton, Chee Peng Lim, Lei Wei, David Yang Gao:
Video Driven Traffic Modelling in Paramics. UKSim 2013: 525-530 - 2012
- [j58]Bestoun S. Ahmed, Kamal Zuhairi Zamli, Chee Peng Lim:
Application of Particle Swarm Optimization to uniform and variable strength covering array construction. Appl. Soft Comput. 12(4): 1330-1347 (2012) - [j57]Manjeevan Seera, Chee Peng Lim, Dahaman Ishak:
Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network. Int. J. Nat. Comput. Res. 3(1): 44-55 (2012) - [j56]Kai Meng Tay, Tze Ling Jee, Chee Peng Lim:
A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems. J. Intell. Fuzzy Syst. 23(2-3): 71-92 (2012) - [j55]Lakhmi C. Jain, Chee Peng Lim:
Special Issue on "Intelligent Information Processing: Techniques and Applications". Int. J. Knowl. Based Intell. Eng. Syst. 16(1): 1-2 (2012) - [j54]Manjeevan Seera, Chee Peng Lim, Dahaman Ishak, Harapajan Singh:
Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM-CART Model. IEEE Trans. Neural Networks Learn. Syst. 23(1): 97-108 (2012) - [c29]Kai Meng Tay, Chee Peng Lim, Tze Ling Jee:
Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index. FUZZ-IEEE 2012: 1-8 - [c28]Kai Meng Tay, Chee Peng Lim, Chin Ying Teh, See Hung Lau:
A monotonicity index for the monotone fuzzy modeling problem. FUZZ-IEEE 2012: 1-8 - 2011
- [j53]Jinsong Leng, Chee Peng Lim:
Reinforcement learning of competitive and cooperative skills in soccer agents. Appl. Soft Comput. 11(1): 1353-1362 (2011) - [j52]Kai Meng Tay, Chee Peng Lim:
A fuzzy inference system-based criterion-referenced assessment model. Expert Syst. Appl. 38(9): 11129-11136 (2011) - [j51]Joshua Ignatius, Adli Mustafa, Muhamad Jantan, Chee Peng Lim, T. Ramayah, Jasmine Yeap Ai Leen:
A Multi-Objective Sensitivity Approach to Training Providers' Evaluation and quota Allocation Planning. Int. J. Inf. Technol. Decis. Mak. 10(1): 147-174 (2011) - [j50]Kai Meng Tay, Chee Peng Lim:
On Monotonic sufficient conditions of Fuzzy Inference Systems and their Applications. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(5): 731-757 (2011) - [j49]Shing Chiang Tan, Chee Peng Lim:
Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification. J. Intell. Fuzzy Syst. 22(2-3): 57-68 (2011) - [j48]Shing Chiang Tan, Chee Peng Lim:
Integration of supervised ART-based neural networks with a hybrid genetic algorithm. Soft Comput. 15(2): 205-219 (2011) - [j47]Anas Quteishat, Chee Peng Lim, Junita Mohamad-Saleh, Jeffrey Tweedale, Lakhmi C. Jain:
A neural network-based multi-agent classifier system with a Bayesian formalism for trust measurement. Soft Comput. 15(2): 221-231 (2011) - [j46]Keem Siah Yap, Chee Peng Lim, Mau Teng Au:
Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems. IEEE Trans. Neural Networks 22(12): 2310-2323 (2011) - [c27]Mahnoosh Nadjarpoorsiyahkaly, Chee Peng Lim:
A Hybrid Neural Classifier for Dimensionality Reduction and Data Visualization and Its Application to Fault Detection and Classification of Induction Motors. BIC-TA 2011: 146-150 - [c26]Kai Meng Tay, Chee Peng Lim:
An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems. FUZZ-IEEE 2011: 442-447 - [c25]Kai Meng Tay, Chee Peng Lim:
Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems. FUZZ-IEEE 2011: 1219-1224 - [c24]Feng Zhang, Joshua Ignatius, Chee Peng Lim:
Comparison between interval type-2 fuzzy sets based on a fuzzy preference relation with probability degree. ICMLC 2011: 215-219 - [c23]Phit Ling Tan, Shing Chiang Tan, Chee Peng Lim, Swee Eng Khor:
A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data. ICONIP (1) 2011: 668-675 - [c22]Manjeevan Seera, Chee Peng Lim, Dahaman Ishak:
A Hybrid FMM-CART Model for Fault Detection and Diagnosis of Induction Motors. ICONIP (3) 2011: 730-736 - 2010
- [j45]Chee Peng Lim, Woi Seng Ooi:
An empirical analysis of colour image segmentation using fuzzy c-means clustering. Int. J. Knowl. Eng. Soft Data Paradigms 2(1): 97-106 (2010) - [j44]Dipti Srinivasan, Robert J. Howlett, Ignac Lovrek, Lakhmi C. Jain, Chee Peng Lim:
Design and application of neural networks and intelligent learning systems. Neurocomputing 73(4-6): 591-592 (2010) - [j43]Chee Peng Lim, Shir Li Wang, Kay Sin Tan, Jose C. Navarro, Lakhmi C. Jain:
Use of the circle segments visualization technique for neural network feature selection and analysis. Neurocomputing 73(4-6): 613-621 (2010) - [j42]Ignac Lovrek, Robert J. Howlett, Chee Peng Lim, Lakhmi C. Jain, Gloria E. Phillips-Wren:
Special Issue: Knowledge-based intelligent systems and their applications. J. Intell. Fuzzy Syst. 21(1-2): 1-3 (2010) - [j41]Keem Siah Yap, Chee Peng Lim, Junita Mohamad-Saleh:
An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification. J. Intell. Fuzzy Syst. 21(1-2): 65-78 (2010) - [j40]Minh Dao-Johnson Tran, Chee Peng Lim, Canicious Abeynayake, Lakhmi C. Jain:
Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network. J. Intell. Fuzzy Syst. 21(1-2): 89-99 (2010) - [j39]Kai Meng Tay, Chee Peng Lim:
Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques. J. Intell. Fuzzy Syst. 21(1-2): 135-146 (2010) - [j38]Shahrul Nizam Yaakob, Chee Peng Lim, Lakhmi C. Jain:
A novel Euclidean quality threshold ARTMAP network and its application to pattern classification. Neural Comput. Appl. 19(2): 227-236 (2010) - [j37]Shing Chiang Tan, Chee Peng Lim:
Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis. Neural Process. Lett. 31(3): 219-242 (2010) - [j36]Siew Chin Neoh, Norhashimah Morad, Chee Peng Lim, Zalina Abdul Aziz:
A Layered-Encoding Cascade Optimization Approach to Product-Mix Planning in High-Mix-Low-Volume Manufacturing. IEEE Trans. Syst. Man Cybern. Part A 40(1): 133-146 (2010) - [j35]Anas Quteishat, Chee Peng Lim, Kay Sin Tan:
A Modified Fuzzy Min-Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification. IEEE Trans. Syst. Man Cybern. Part A 40(3): 641-650 (2010) - [c21]Kai Meng Tay, Chee Peng Lim, Tze Ling Jee:
Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application. ECMS 2010: 213-218 - [c20]Hussein Samma, Chee Peng Lim, Ali Samma:
A Computer-Aided Detection System for Automatic Mammography Mass Identification. ICONIP (2) 2010: 226-233 - [p6]Jinsong Leng, Chee Peng Lim, Jiuyong Li, Dongguang Li, Lakhmi C. Jain:
A Role-Based Cognitive Architecture for Multi-Agent Teaming. Agent and Multi-agent Technology for Internet and Enterprise Systems 2010: 229-255
2000 – 2009
- 2009
- [j34]Chin Loo, Shing Chiang Tan, Chee Peng Lim:
Fuzzy ARTMAP and a Hybrid Chaos Genetic Algorithm for Medical Pattern Classification. Aust. J. Intell. Inf. Process. Syst. 10(4) (2009) - [j33]Chee Peng Lim, Jadranka Sunde, Lakhmi C. Jain:
Special issue on intelligent knowledge processing and decision making techniques. Intell. Decis. Technol. 3(2): 83-84 (2009) - [j32]Anas Quteishat, Chee Peng Lim, Jeffrey Tweedale, Lakhmi C. Jain:
A neural network-based multi-agent classifier system. Neurocomputing 72(7-9): 1639-1647 (2009) - [j31]Ngoc Thanh Nguyen, Chee Peng Lim, Lakhmi C. Jain, Valentina Emilia Balas:
Theoretical advances and applications of intelligent paradigms. J. Intell. Fuzzy Syst. 20(1-2): 1-2 (2009) - [j30]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
An online pruning strategy for supervised ARTMAP-based neural networks. Neural Comput. Appl. 18(4): 387-395 (2009) - [c19]Kai Meng Tay, Chee Peng Lim:
On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models. FUZZ-IEEE 2009: 1736-1740 - [c18]Shing Chiang Tan, Chee Peng Lim, Kay Sin Tan, Jose C. Navarro:
An Evolutionary Artificial Neural Network for Medical Pattern Classification. ICONIP (2) 2009: 475-482 - [c17]Shing Chiang Tan, Chee Peng Lim:
Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study. ICONIP (2) 2009: 593-600 - [p5]Chee Peng Lim, Lakhmi C. Jain:
Advances in Swarm Intelligence. Innovations in Swarm Intelligence 2009: 1-7 - [p4]Siew Chin Neoh, Norhashimah Morad, Arjuna Marzuki, Chee Peng Lim, Zalina Abdul Aziz:
A Multi-resolution GA-PSO Layered Encoding Cascade Optimization Model. Innovations in Swarm Intelligence 2009: 121-140 - [e1]Chee Peng Lim, Lakhmi C. Jain, Satchidananda Dehuri:
Innovations in Swarm Intelligence. Studies in Computational Intelligence 248, Springer 2009, ISBN 978-3-642-04224-9 [contents] - 2008
- [j29]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility. Appl. Soft Comput. 8(1): 543-554 (2008) - [j28]Anas Quteishat, Chee Peng Lim:
A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification. Appl. Soft Comput. 8(2): 985-995 (2008) - [j27]Chee Peng Lim, Lakhmi C. Jain, Ngoc Thanh Nguyen, Valentina Emilia Balas:
Guest Editorial: Special issue on advances in computational intelligence paradigms and applications. Fuzzy Optim. Decis. Mak. 7(3): 215-217 (2008) - [j26]Kai Meng Tay, Chee Peng Lim:
On the use of fuzzy inference techniques in assessment models: part I - theoretical properties. Fuzzy Optim. Decis. Mak. 7(3): 269-281 (2008) - [j25]Kai Meng Tay, Chee Peng Lim:
On the use of fuzzy inference techniques in assessment models: part II: industrial applications. Fuzzy Optim. Decis. Mak. 7(3): 283-302 (2008) - [j24]Lakhmi C. Jain, Chee Peng Lim, Ngoc Thanh Nguyen:
Recent advances in intelligent paradigms fusion and their applications. Int. J. Hybrid Intell. Syst. 5(3): 109-110 (2008) - [j23]Chee Siong Teh, Chee Peng Lim:
An Artificial Neural Network Classifier Design Based-on Variable Kernel and Non-Parametric Density Estimation. Neural Process. Lett. 27(2): 137-151 (2008) - [j22]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm. Soft Comput. 12(8): 765-775 (2008) - [j21]Keem Siah Yap, Chee Peng Lim, I. Z. Abidi:
A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function. IEEE Trans. Neural Networks 19(9): 1641-1646 (2008) - [c16]Siew Chin Neoh, Arjuna Marzuki, Norhashimah Morad, Chee Peng Lim, Zalina Abdul Aziz:
An interactive genetic algorithm approach to MMIC low noise amplifier design using a layered encoding structure. IEEE Congress on Evolutionary Computation 2008: 1571-1575 - [c15]Chue Poh Tan, Chen Change Loy, Weng-Kin Lai, Chee Peng Lim:
Robust modular ARTMAP for multi-class shape recognition. IJCNN 2008: 2405-2412 - [c14]Anas Quteishat, Chee Peng Lim:
Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis. KES (3) 2008: 548-555 - [p3]Lakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim:
An Introduction to Computational Intelligence Paradigms. Computational Intelligence Paradigms 2008: 1-23 - 2007
- [j20]Shing Chiang Tan, Chee Peng Lim, M. V. C. Rao:
A hybrid neural network model for rule generation and its application to process fault detection and diagnosis. Eng. Appl. Artif. Intell. 20(2): 203-213 (2007) - [j19]Chee Peng Lim, Siew Chan Woo:
Text-dependent Speaker Recognition using Wavelets and Neural Networks. Soft Comput. 11(6): 549-556 (2007) - [c13]Shir Li Wang, Chen Change Loy, Chee Peng Lim, Weng-Kin Lai, Kay Sin Tan:
Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification. ICONIP (1) 2007: 625-634 - [c12]Chen Change Loy, Weng-Kin Lai, Chee Peng Lim:
Keystroke Patterns Classification Using the ARTMAP-FD Neural Network. IIH-MSP 2007: 61-64 - [c11]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring. IIH-MSP 2007: 65-68 - [p2]Lakhmi C. Jain, Anas Quteishat, Chee Peng Lim:
Intelligent Machines: An Introduction. Innovations in Intelligent Machines (1) 2007: 1-9 - [p1]Lakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim:
Introduction to Evolutionary Computing in System Design. Advances in Evolutionary Computing for System Design 2007: 1-9 - 2006
- [j18]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment. Neurocomputing 69(16-18): 2456-2460 (2006) - [j17]Woi Seng Ooi, Chee Peng Lim:
Fuzzy clustering of color and texture features for image segmentation: A study on satellite image retrieval. J. Intell. Fuzzy Syst. 17(3): 297-311 (2006) - [j16]Chee Siong Teh, Chee Peng Lim:
Monitoring the Formation of Kernel-Based Topographic Maps in a Hybrid SOM-kMER Model. IEEE Trans. Neural Networks 17(5): 1336-1341 (2006) - [c10]Chen Change Loy, Weng-Kin Lai, Chee Peng Lim:
Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection. ICONIP (2) 2006: 776-785 - 2005
- [j15]Chee Siong Teh, Chee Peng Lim:
A hybrid SOM-kMER model for data visualization and classification . Int. J. Hybrid Intell. Syst. 2(3): 189-203 (2005) - [j14]Kok Yeng Chen, Chee Peng Lim, Weng Kin Lai:
Application of a Neural Fuzzy System with Rule Extraction to Fault Detection and Diagnosis. J. Intell. Manuf. 16(6): 679-691 (2005) - [j13]Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison:
Application of fuzzy ARTMAP and fuzzy c-means clustering to pattern classification with incomplete data. Neural Comput. Appl. 14(2): 104-113 (2005) - [j12]Chee Peng Lim, Siow San Quek, Kok Khiang Peh:
Application of the Gaussian mixture model to drug dissolution profiles prediction. Neural Comput. Appl. 14(4): 345-352 (2005) - [j11]Chee Peng Lim, Jenn-Hwai Leong, Mei Ming Kuan:
A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features. IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 648-653 (2005) - 2004
- [j10]Richard Kwok Kit Yuen, Eric Wai Ming Lee, Chee Peng Lim, Grace W. Y. Cheng:
Fusion of GRNN and FA for Online Noisy Data Regression. Neural Process. Lett. 19(3): 227-241 (2004) - [j9]Eric Wai Ming Lee, Chee Peng Lim, Richard Kwok Kit Yuen, S. M. Lo:
A hybrid neural network model for noisy data regression. IEEE Trans. Syst. Man Cybern. Part B 34(2): 951-960 (2004) - [c9]Kok Yeng Chen, Chee Peng Lim, Weng-Kin Lai:
Fault Detection and Diagnosis Using the Fuzzy Min-Max Neural Network with Rule Extraction. KES 2004: 357-364 - [c8]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. WSC 2004: 65-76 - [c7]Kai Meng Tay, Chee Peng Lim:
Application of Fuzzy Inference Techniques to FMEA. WSC 2004: 161-171 - [c6]Woi Seng Ooi, Chee Peng Lim:
Hybrid Image Segmentation based on Fuzzy Clustering Algorithm for Satellite Imagery Searching and Retrieval. WSC 2004: 355-372 - [c5]Kok Yeng Chen, Chee Peng Lim, Robert F. Harrison:
Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks. WSC 2004: 373-387 - 2003
- [j8]Mei Ming Kuan, Chee Peng Lim, Robert F. Harrison:
On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study. Int. J. Comput. Intell. Appl. 3(1): 23-43 (2003) - [j7]Wei Yee Goh, Chee Peng Lim, Kok Khiang Peh:
Predicting drug dissolution profiles with an ensemble of boosted neural networks: a time series approach. IEEE Trans. Neural Networks 14(2): 459-463 (2003) - [j6]Chee Peng Lim, Robert F. Harrison:
Online pattern classification with multiple neural network systems: an experimental study. IEEE Trans. Syst. Man Cybern. Part C 33(2): 235-247 (2003) - [c4]Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison:
An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data. KES 2003: 7-15 - 2002
- [j5]Wei Yee Goh, Chee Peng Lim, Kok Khiang Peh, K. Subari:
Application of a Recurrent Neural Network to Prediction of Drug Dissolution Profiles. Neural Comput. Appl. 10(4): 311-317 (2002) - 2001
- [j4]Siow San Quek, Chee Peng Lim, Kok Khiang Peh:
Prediction of Drug Dissolution Profiles Using Artificial Neural Networks. Int. J. Comput. Intell. Appl. 1(2): 187-202 (2001) - 2000
- [c3]Chee Peng Lim, Siew Chan Woo, Aun Sim Loh, Rohaizan Osman:
Speech Recognition Using Artificial Neural Networks. WISE 2000: 419-425
1990 – 1999
- 1999
- [c2]Chee Peng Lim, Phaik Yean Goay, Poh Suan Teoh, Robert F. Harrison:
Combination of decisions from a multiple neural network classifier system. KES 1999: 191-194 - 1997
- [j3]Chee Peng Lim, Robert F. Harrison, R. Lee Kennedy:
Application of autonomous neural network systems to medical pattern classification tasks. Artif. Intell. Medicine 11(3): 215-239 (1997) - [j2]Chee Peng Lim, Robert F. Harrison:
Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration. Neural Networks 10(4): 755-774 (1997) - [j1]Chee Peng Lim, Robert F. Harrison:
An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation. Neural Networks 10(5): 925-939 (1997) - 1996
- [b1]Chee Peng Lim:
Autonomous neural network systems for pattern classification. University of Sheffield, UK, 1996 - 1995
- [c1]Chee Peng Lim, Robert F. Harrison:
Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network. ICANNGA 1995: 503-506
Coauthor Index
[j248] [j246] [j236] [c96] [c95] [i12] [i10] [j228] [j222] [j214] [j213] [j212] [c93] [c91] [i7] [j206] [j202] [j195] [j194] [j193] [c90] [c89] [c88] [c87] [c86] [j181] [c84] [c83] [c82] [c81] [c80] [c79] [j173] [j172] [j166] [j155] [j153] [j150] [j149] [j145] [c77] [c76] [c75] [j143] [j142] [j132] [j131] [j127] [j126] [c74] [c73] [c72] [c71] [i2] [i1] [j121] [j120] [j118] [j108] [j107] [c69] [c65] [c63] [c61] [c60] [j85] [c59] [c58] [j79] [j77] [j76] [j66] [c45] [c32] [c31]
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