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Absalom E. Ezugwu
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2020 – today
- 2024
- [j63]Absalom El-Shamir Ezugwu:
Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A Concise Overview With a Proof-of-Concept Study. IEEE Access 12: 3386-3416 (2024) - [j62]Melvin Kisten, Absalom El-Shamir Ezugwu, Micheal Olusoji Olusanya:
Explainable Artificial Intelligence Model for Predictive Maintenance in Smart Agricultural Facilities. IEEE Access 12: 24348-24367 (2024) - [j61]Tehnan I. A. Mohamed, Absalom El-Shamir Ezugwu:
Enhancing Lung Cancer Classification and Prediction With Deep Learning and Multi-Omics Data. IEEE Access 12: 59880-59892 (2024) - [j60]Laith Abualigah, Diego Oliva, Heming Jia, Faiza Gul, Nima Khodadadi, Abdelazim G. Hussien, Mohammad Al-Shinwan, Absalom E. Ezugwu, Belal Abuhaija, Raed Abu Zitar:
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems. Multim. Tools Appl. 83(11): 32613-32653 (2024) - [j59]Mohammad Otair, Laith Abualigah, Saif Tawfiq, Mohammad Alshinwan, Absalom E. Ezugwu, Raed Abu Zitar, Putra Sumari:
Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images. Multim. Tools Appl. 83(14): 41051-41081 (2024) - [j58]Saptadeep Biswas, Azharuddin Shaikh, Absalom El-Shamir Ezugwu, Japie Greeff, Seyedali Mirjalili, Uttam Kumar Bera, Laith Abualigah:
Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems. Neural Comput. Appl. 36(19): 11137-11170 (2024) - [c18]Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Apu Kumar Saha:
SIRO: A Deep Learning-Based Next-Generation Optimizer for Solving Global Optimization Problems. MIC (1) 2024: 45-61 - [c17]Simmera Ndlalane, Olumuyiwa Otegbeye, Absalom E. Ezugwu:
Strategic Optimization of Blood Allocation in Blood Banks for Enhanced Resource Utilization. HC@AIxIA 2024: 50-63 - [i7]Absalom E. Ezugwu, Yuh-Shan Ho, Ojonukpe S. Egwuche, Olufisayo S. Ekundayo, Annette Van Der Merwe, Apu Kumar Saha, Jayanta Pal:
Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution. CoRR abs/2408.01747 (2024) - 2023
- [j57]Olubunmi Omobola Sule, Absalom E. Ezugwu:
A two-stage histogram equalization enhancement scheme for feature preservation in retinal fundus images. Biomed. Signal Process. Control. 80(Part): 104384 (2023) - [j56]Olaide Nathaniel Oyelade, Absalom E. Ezugwu:
EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm. Biomed. Signal Process. Control. 84: 104734 (2023) - [j55]Abiodun M. Ikotun, Absalom E. Ezugwu, Laith Abualigah, Belal Abuhaija, Heming Jia:
K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data. Inf. Sci. 622: 178-210 (2023) - [j54]Sanjoy Chakraborty, Apu Kumar Saha, Absalom E. Ezugwu, Ratul Chakraborty, Ashim Saha:
Horizontal crossover and co-operative hunting-based Whale Optimization Algorithm for feature selection. Knowl. Based Syst. 282: 111108 (2023) - [j53]Jeffrey O. Agushaka, Absalom E. Ezugwu, Laith Abualigah:
Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer. Neural Comput. Appl. 35(5): 4099-4131 (2023) - [j52]Olatunji O. Akinola, Absalom E. Ezugwu, Jeffrey O. Agushaka, Raed Abu Zitar, Laith Abualigah:
Correction to: Multiclass feature selection with metaheuristic optimization algorithms: a review. Neural Comput. Appl. 35(7): 5593 (2023) - [i6]Absalom E. Ezugwu, Olaide Nathaniel Oyelade, Abiodun M. Ikotun, Jeffrey O. Agushaka, Yuh-Shan Ho:
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review. CoRR abs/2304.07542 (2023) - [i5]Brennon Maistry, Absalom E. Ezugwu:
Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures. CoRR abs/2305.19937 (2023) - [i4]Absalom E. Ezugwu, Japie Greeff, Yuh-Shan Ho:
A Comprehensive Study of Groundbreaking Machine Learning Research: Analyzing Highly Cited and Impactful Publications across Six Decades. CoRR abs/2308.00855 (2023) - [i3]Absalom E. Ezugwu:
A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview. CoRR abs/2311.12802 (2023) - 2022
- [j51]Olaide Nathaniel Oyelade, Absalom El-Shamir Ezugwu, Tehnan I. A. Mohamed, Laith Mohammad Abualigah:
Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm. IEEE Access 10: 16150-16177 (2022) - [j50]Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Hein S. Venter, Seyedali Mirjalili, Amir H. Gandomi:
Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images. Comput. Biol. Medicine 149: 105943 (2022) - [j49]Olaide Nathaniel Oyelade, Absalom E. Ezugwu:
Characterization of abnormalities in breast cancer images using nature-inspired metaheuristic optimized convolutional neural networks model. Concurr. Comput. Pract. Exp. 34(4) (2022) - [j48]Olaide Nathaniel Oyelade, Absalom E. Ezugwu:
A comparative performance study of random-grid model for hyperparameters selection in detection of abnormalities in digital breast images. Concurr. Comput. Pract. Exp. 34(13) (2022) - [j47]Jeffrey O. Agushaka, Absalom E. Ezugwu:
Influence of probability distribution initialization methods on the performance of advanced arithmetic optimization algorithm with application to unrelated parallel machine scheduling problem. Concurr. Comput. Pract. Exp. 34(22) (2022) - [j46]Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher Ifeanyi Eke, Andronicus Ayobami Akinyelu:
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. Eng. Appl. Artif. Intell. 110: 104743 (2022) - [j45]Absalom E. Ezugwu:
Advanced discrete firefly algorithm with adaptive mutation-based neighborhood search for scheduling unrelated parallel machines with sequence-dependent setup times. Int. J. Intell. Syst. 37(8): 4612-4653 (2022) - [j44]Prinolan Govender, Absalom E. Ezugwu:
Boosting symbiotic organism search algorithm with ecosystem service for dynamic blood allocation in blood banking system. J. Exp. Theor. Artif. Intell. 34(2): 261-293 (2022) - [j43]Jeffrey O. Agushaka, Absalom E. Ezugwu:
Evaluation of several initialization methods on arithmetic optimization algorithm performance. J. Intell. Syst. 31(1): 70-94 (2022) - [j42]Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Sunday A. Adewuyi:
Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies. Neural Comput. Appl. 34(4): 3053-3078 (2022) - [j41]Olatunji O. Akinola, Absalom E. Ezugwu, Jeffrey O. Agushaka, Raed Abu Zitar, Laith Abualigah:
Multiclass feature selection with metaheuristic optimization algorithms: a review. Neural Comput. Appl. 34(22): 19751-19790 (2022) - [j40]Absalom E. Ezugwu, Jeffrey O. Agushaka, Laith Abualigah, Seyedali Mirjalili, Amir H. Gandomi:
Prairie Dog Optimization Algorithm. Neural Comput. Appl. 34(22): 20017-20065 (2022) - [j39]Olutosin Taiwo, Absalom E. Ezugwu, Olaide Nathaniel Oyelade, Mubarak Saad Al-Mutairi:
Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model. Wirel. Commun. Mob. Comput. 2022: 9307961:1-9307961:22 (2022) - [c16]Xolani Lombo, Olaide Nathaniel Oyelade, Absalom E. Ezugwu:
Crime Detection and Analysis from Social Media Messages Using Machine Learning and Natural Language Processing Technique. ICCSA (Workshops 5) 2022: 502-517 - 2021
- [j38]Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Haruna Chiroma:
CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection. IEEE Access 9: 77905-77919 (2021) - [j37]Absalom E. Ezugwu, Amit K. Shukla, Rahul Nath, Andronicus Ayobami Akinyelu, Jeffrey O. Agushaka, Haruna Chiroma, Pranab K. Muhuri:
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis. Artif. Intell. Rev. 54(6): 4237-4316 (2021) - [j36]Olaide Nathaniel Oyelade, Absalom E. Ezugwu:
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images. Biomed. Signal Process. Control. 65: 102366 (2021) - [j35]Thimershen Achary, Shivani Mahashakti Pillay, Sarah M. Pillai, Malusi Mqadi, Emma Genders, Absalom E. Ezugwu:
A performance study of meta-heuristic approaches for quadratic assignment problem. Concurr. Comput. Pract. Exp. 33(17) (2021) - [j34]Chanaleä Munien, Absalom E. Ezugwu:
Metaheuristic algorithms for one-dimensional bin-packing problems: A survey of recent advances and applications. J. Intell. Syst. 30(1): 636-663 (2021) - [j33]Absalom E. Ezugwu, Amit K. Shukla, Moyinoluwa B. Agbaje, Olaide Nathaniel Oyelade, Adán José García, Jeffrey O. Agushaka:
Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature. Neural Comput. Appl. 33(11): 6247-6306 (2021) - [j32]Olutosin Taiwo, Absalom E. Ezugwu:
Internet of Things-Based Intelligent Smart Home Control System. Secur. Commun. Networks 2021: 9928254:1-9928254:17 (2021) - [i2]Olaide Nathaniel Oyelade, Absalom E. Ezugwu:
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease. CoRR abs/2106.01416 (2021) - 2020
- [j31]Absalom E. Ezugwu, Olumuyiwa Otegbeye, Prinolan Govender, John O. Odo:
Computational Intelligence Approach to Dynamic Blood Allocation With ABO-Rhesus Factor Compatibility Under Real-World Scenario. IEEE Access 8: 97576-97603 (2020) - [j30]Absalom E. Ezugwu, Moyinoluwa B. Agbaje, Nahla Aljojo, Rosanne Els, Haruna Chiroma, Mohamed E. Abd Elaziz:
A Comparative Performance Study of Hybrid Firefly Algorithms for Automatic Data Clustering. IEEE Access 8: 121089-121118 (2020) - [j29]Olaide Nathaniel Oyelade, Absalom E. Ezugwu:
A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography. IEEE Access 8: 148644-148676 (2020) - [j28]Jeffrey O. Agushaka, Absalom E. Ezugwu:
Influence of Initializing Krill Herd Algorithm With Low-Discrepancy Sequences. IEEE Access 8: 210886-210909 (2020) - [j27]Chanaleä Munien, Shiv Mahabeer, Esther Dzitiro, Sharad Singh, Siluleko Zungu, Absalom E. Ezugwu:
Metaheuristic Approaches for One-Dimensional Bin Packing Problem: A Comparative Performance Study. IEEE Access 8: 227438-227465 (2020) - [j26]Absalom E. Ezugwu, Olawale Joshua Adeleke, Andronicus Ayobami Akinyelu, Serestina Viriri:
A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. Neural Comput. Appl. 32(10): 6207-6251 (2020) - [j25]Andronicus Ayobami Akinyelu, Absalom E. Ezugwu, Aderemi Oluyinka Adewumi:
Ant colony optimization edge selection for support vector machine speed optimization. Neural Comput. Appl. 32(15): 11385-11417 (2020) - [j24]Haruna Chiroma, Absalom E. Ezugwu, Fatsuma Jauro, Mohammed Ali Al-garadi, Idris N. Abdullahi, Liyana Shuib:
Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks. PeerJ Comput. Sci. 6: e313 (2020) - [c15]Jeffrey O. Agushaka, Absalom E. Ezugwu:
Diabetes Classification Techniques: A Brief State-of-the-Art Literature Review. ICAI 2020: 313-329 - [c14]Olutosin Taiwo, Absalom E. Ezugwu, Nadim Rana, Shafii Muhammad Abdulhamid:
Smart Home Automation System Using ZigBee, Bluetooth and Arduino Technologies. ICCSA (6) 2020: 587-597 - [c13]Menzi Skhosana, Absalom E. Ezugwu, Nadim Rana, Shafii Muhammad Abdulhamid:
An Intelligent Machine Learning-Based Real-Time Public Transport System. ICCSA (6) 2020: 649-665 - [c12]Olutosin Taiwo, Lubna Abdel Kareim Gabralla, Absalom E. Ezugwu:
Smart Home Automation: Taxonomy, Composition, Challenges and Future Direction. ICCSA (6) 2020: 878-894 - [c11]Simangaliso Mlangeni, Absalom E. Ezugwu, Haruna Chiroma:
Deep Learning Model for Forecasting Institutional Building Energy Consumption. ICTAS 2020: 1-8 - [c10]Vidushen Rajah, Absalom E. Ezugwu:
Hybrid Symbiotic Organism Search algorithms for Automatic Data Clustering. ICTAS 2020: 1-9 - [c9]Menzi Skhosana, Absalom E. Ezugwu:
Irenbus: A Real-Time Public Transport Management System. ICTAS 2020: 1-7
2010 – 2019
- 2019
- [j23]Prinolan Govender, Absalom E. Ezugwu:
A Symbiotic Organisms Search Algorithm for Optimal Allocation of Blood Products. IEEE Access 7: 2567-2588 (2019) - [j22]Absalom E. Ezugwu, Verosha Pillay, Divyan Hirasen, Kershen Sivanarain, Melvin Govender:
A Comparative Study of Meta-Heuristic Optimization Algorithms for 0 - 1 Knapsack Problem: Some Initial Results. IEEE Access 7: 43979-44001 (2019) - [j21]Andronicus Ayobami Akinyelu, Absalom E. Ezugwu:
Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization. IEEE Access 7: 154581-154599 (2019) - [j20]Moyinoluwa B. Agbaje, Absalom E. Ezugwu, Rosanne Els:
Automatic Data Clustering Using Hybrid Firefly Particle Swarm Optimization Algorithm. IEEE Access 7: 184963-184984 (2019) - [j19]Absalom E. Ezugwu, Doddy Prayogo:
Symbiotic organisms search algorithm: Theory, recent advances and applications. Expert Syst. Appl. 119: 184-209 (2019) - [j18]Absalom E. Ezugwu, Micheal Olusoji Olusanya, Prinolan Govender:
Mathematical model formulation and hybrid metaheuristic optimization approach for near-optimal blood assignment in a blood bank system. Expert Syst. Appl. 137: 74-99 (2019) - [j17]Absalom E. Ezugwu:
Enhanced symbiotic organisms search algorithm for unrelated parallel machines manufacturing scheduling with setup times. Knowl. Based Syst. 172: 15-32 (2019) - [c8]Prinolan Govender, Absalom E. Ezugwu:
A Symbiotic Organisms Search Algorithm for Blood Assignment Problem. HM 2019: 200-208 - [c7]Absalom E. Ezugwu, Rosanne Els, Jean Vincent Fonou Dombeu, Duane Naidoo, Kimone Pillay:
Parallel Symbiotic Organisms Search Algorithm. ICCSA (5) 2019: 658-672 - [c6]Bradley J. Pillay, Absalom E. Ezugwu:
Stock Price Forecasting Using Symbiotic Organisms Search Trained Neural Networks. ICCSA (5) 2019: 673-688 - [i1]Bradley J. Pillay, Absalom E. Ezugwu:
Hybrid symbiotic organisms search feedforward neural network model for stock price prediction. CoRR abs/1906.10121 (2019) - 2018
- [j16]Absalom E. Ezugwu, Francis Akutsah:
An Improved Firefly Algorithm for the Unrelated Parallel Machines Scheduling Problem With Sequence-Dependent Setup Times. IEEE Access 6: 54459-54478 (2018) - [c5]Prinolan Govender, Absalom E. Ezugwu:
A Comparative Study of Metaheuristics for Blood Assignment Problem. ACAI 2018: 3:1-3:8 - [c4]Moeketsi Ndaba, Anban W. Pillay, Absalom E. Ezugwu:
An Improved Generalized Regression Neural Network for Type II Diabetes Classification. ICCSA (4) 2018: 659-671 - 2017
- [j15]Absalom E. Ezugwu, Marc Frîncu, Aderemi Oluyinka Adewumi, Seyed M. Buhari, Sahalu B. Junaidu:
Neural network-based multi-agent approach for scheduling in distributed systems. Concurr. Comput. Pract. Exp. 29(1) (2017) - [j14]Absalom E. Ezugwu, Aderemi Oluyinka Adewumi, Marc Eduard Frîncu:
Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem. Expert Syst. Appl. 77: 189-210 (2017) - [j13]Absalom E. Ezugwu, Aderemi Oluyinka Adewumi:
Discrete symbiotic organisms search algorithm for travelling salesman problem. Expert Syst. Appl. 87: 70-78 (2017) - [j12]Absalom E. Ezugwu, Aderemi Oluyinka Adewumi:
Soft sets based symbiotic organisms search algorithm for resource discovery in cloud computing environment. Future Gener. Comput. Syst. 76: 33-50 (2017) - [j11]Absalom E. Ezugwu, Nneoma A. Okoroafor, Seyed M. Buhari, Marc Eduard Frîncu, Sahalu B. Junaidu:
Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets. J. Intell. Syst. 26(1): 169-184 (2017) - 2016
- [j10]Absalom E. Ezugwu, Sahalu B. Junaidu, Marc E. Frîncu, Seyed M. Buhari, Afolayan Ayodele Obiniyi:
Scheduling multi-component applications with mobile agents in heterogeneous distributed systems. Concurr. Comput. Pract. Exp. 28(5): 1462-1479 (2016) - [j9]Absalom E. Ezugwu, Marc E. Frîncu, Sahalu B. Junaidu:
Architectural Pattern for Scheduling Multi-Component Applications in Distributed Systems. Int. J. Grid High Perform. Comput. 8(1): 1-22 (2016) - [j8]Absalom E. Ezugwu, Marc E. Frîncu, Sahalu B. Junaidu:
Characterization of grid computing resources using measurement-based evaluation. Multiagent Grid Syst. 12(1): 13-34 (2016) - [c3]Absalom E. Ezugwu, Shahnaz N. Shahbazova, Aderemi Oluyinka Adewumi, Sahalu B. Junaidu:
Resource Selection with Soft Set Attribute Reduction Based on Improved Genetic Algorithm. WCSC 2016: 193-207 - 2015
- [j7]Absalom E. Ezugwu, Seyed M. Buhari, Sahalu B. Junaidu:
Resource management system for scientific virtual laboratory applications. Int. J. Grid Util. Comput. 6(1): 8-20 (2015) - [j6]Absalom E. Ezugwu, Marc E. Frîncu, Afolayan Ayodele Obiniyi, Seyed M. Buhari, Sahalu B. Junaidu:
Multiagent-based approach for scheduling meta-applications in heterogeneous grid environments. Multiagent Grid Syst. 11(2): 59-79 (2015) - [c2]Ezugwu E. Absalom, Marc E. Frîncu, Sahalu B. Junaidu:
A Multiagent-Based Approach to Scheduling of Multi-component Applications in Distributed Systems. CSOC (1) 2015: 1-12 - [c1]Absalom E. Ezugwu, Daniel I. Yakmut, Paschal A. Ochang, Seyed M. Buhari, Marc E. Frîncu, Sahalu B. Junaidu:
Multiset Genetic Algorithm Approach to Grid Resource Allocation. IBICA 2015: 1-13 - 2013
- [j5]Ezugwu E. Absalom, Seyed M. Buhari, Sahalu B. Junaidu:
Virtual Machine Allocation in Cloud Computing Environment. Int. J. Cloud Appl. Comput. 3(2): 47-60 (2013) - [j4]Ezugwu E. Absalom, Seyed M. Buhari, Afolayan Ayodele Obiniyi, Sahalu B. Junaidu:
A Generic Reference Architecture for Collaboratory Scientific Virtual Laboratory. Int. J. Grid High Perform. Comput. 5(1): 37-52 (2013) - 2012
- [j3]Absalom E. Ezugwu, Sahalu B. Junaidu:
Rhotrix Multiplication on Two-Dimensional Process Grid Topologies. Int. J. Grid High Perform. Comput. 4(1): 21-36 (2012) - 2011
- [j2]Afolayan Ayodele Obiniyi, Absalom E. Ezugwu, Mohammed Dikko:
Network Security and Firewall Technology: A Step to Safety of National IT Vision. Int. J. Dependable Trust. Inf. Syst. 2(2): 40-60 (2011) - 2010
- [j1]Afolayan Ayodele Obiniyi, Ezugwu E. Absalom:
Design and Implementation of Students' Information System for Tertiary Institutions Using Neural Networks: An Open Source Approach. Int. J. Green Comput. 1(1): 1-15 (2010)
Coauthor Index
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