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ORCIDNeurocomputing, Volume 485
Volume 485, May 2022
- Xin Yi, Bo Ma, Yulin Zhang, Longyao Liu, Jiahao Wu:
Two-step image dehazing with intra-domain and inter-domain adaptation. 1-11 - Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai:
Motif-based memory networks for complex-factoid question answering. 12-21 - Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang:
Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial-temporal regularizations. 22-35 - Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. 36-46 - Dengdi Sun, Wandong Xie, Zhuanlian Ding, Jin Tang:
SILP-autoencoder for face de-occlusion. 47-56 - Ronghua Shang, Xinlei Zhang, Jie Feng, Yangyang Li, Licheng Jiao
:
Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection. 57-73 - Mohammad Samar Ansari:
A single-layer asymmetric RNN with low hardware complexity for solving linear equations. 74-88 - Zeyu Ruan, Yuanyuan Li, Junhao Hu, Jun Mei, Dan Xia:
Finite-time synchronization of the drive-response networks by event-triggered aperiodic intermittent control. 89-102 - Erguang Yang, Mingtong Liu, Deyi Xiong, Yujie Zhang, Yao Meng, Jinan Xu, Yufeng Chen:
Improving generation diversity via syntax-controlled paraphrasing. 103-113 - Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin:
Sparse-attentive meta temporal point process for clinical decision support. 114-123 - Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi:
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. 124-133 - Tianyi Ma, Bingcheng Mao, Ming Chen:
A two-phase half-async method for heterogeneity-aware federated learning. 134-154 - Mingxue Yang, Lujie Peng, Li Liu, Yujiang Wang, Zhenyuan Zhang, Zhengxi Yuan, Jun Zhou:
LCSED: A low complexity CNN based SED model for IoT devices. 155-165 - Ahmed Fathalla, Kenli Li, Ahmad Salah, Marwa F. Mohamed:
An LSTM-based distributed scheme for data transmission reduction of IoT systems. 166-180 - Xiaotong Wu, Lianyong Qi, Jiaquan Gao, Genlin Ji, Xiaolong Xu:
An ensemble of random decision trees with local differential privacy in edge computing. 181-195 - Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu:
Neural architecture tuning with policy adaptation. 196-204 - Jiaxin Liu, Xucheng Song, Yingjie Zhou, Xi Peng, Yanru Zhang, Pei Liu, Dapeng Wu, Ce Zhu:
Deep anomaly detection in packet payload. 205-218 - Lei Yang, Wanrong Zou, Jianggan Wang, Zi Tang:
EdgeShare: A blockchain-based edge data-sharing framework for Industrial Internet of Things. 219-232 - Jianxi Yang, Hao Li, Junzhi Zou, Shixin Jiang, Ren Li, Xinlong Liu:
Concrete crack segmentation based on UAV-enabled edge computing. 233-241 - Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li:
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. 242-251 - Qiwei Xie, Ranran Liu, Zhao Sun, Shanshan Pei, Feng Cui:
A flexible free-space detection system based on stereo vision. 252-262 - Kashif Naseer Qureshi, Omprakash Kaiwartya, Gwanggil Jeon, Francesco Piccialli:
Neurocomputing for internet of things: Object recognition and detection strategy. 263-273 - Yinxue Yi, Zufan Zhang, Laurence T. Yang, Xiaokang Wang, Chenquan Gan:
Edge-aided control dynamics for information diffusion in social Internet of Things. 274-284 - Xiaoping Zhu, Yi Xiao:
Adaptive offloading and scheduling algorithm for big data based mobile edge computing. 285-296 - Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
Bringing AI to edge: From deep learning's perspective. 297-320
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