Ezugwu E. Absalom
Orcid: 0000-0002-3721-3400
According to our database1,
Ezugwu E. Absalom
authored at least 87 papers
between 2010 and 2024.
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Bibliography
2024
Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems.
Neural Comput. Appl., July, 2024
Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images.
Multim. Tools Appl., April, 2024
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems.
Multim. Tools Appl., March, 2024
CoRR, 2024
Enhancing Lung Cancer Classification and Prediction With Deep Learning and Multi-Omics Data.
IEEE Access, 2024
Explainable Artificial Intelligence Model for Predictive Maintenance in Smart Agricultural Facilities.
IEEE Access, 2024
Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A Concise Overview With a Proof-of-Concept Study.
IEEE Access, 2024
SIRO: A Deep Learning-Based Next-Generation Optimizer for Solving Global Optimization Problems.
Proceedings of the Metaheuristics - 15th International Conference, 2024
2023
Horizontal crossover and co-operative hunting-based Whale Optimization Algorithm for feature selection.
Knowl. Based Syst., December, 2023
EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm.
Biomed. Signal Process. Control., July, 2023
K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data.
Inf. Sci., April, 2023
Correction to: Multiclass feature selection with metaheuristic optimization algorithms: a review.
Neural Comput. Appl., March, 2023
Neural Comput. Appl., February, 2023
A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview.
CoRR, 2023
A Comprehensive Study of Groundbreaking Machine Learning Research: Analyzing Highly Cited and Impactful Publications across Six Decades.
CoRR, 2023
Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures.
CoRR, 2023
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review.
CoRR, 2023
A two-stage histogram equalization enhancement scheme for feature preservation in retinal fundus images.
Biomed. Signal Process. Control., 2023
2022
Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model.
Wirel. Commun. Mob. Comput., 2022
Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies.
Neural Comput. Appl., 2022
Neural Comput. Appl., 2022
Evaluation of several initialization methods on arithmetic optimization algorithm performance.
J. Intell. Syst., 2022
Boosting symbiotic organism search algorithm with ecosystem service for dynamic blood allocation in blood banking system.
J. Exp. Theor. Artif. Intell., 2022
Advanced discrete firefly algorithm with adaptive mutation-based neighborhood search for scheduling unrelated parallel machines with sequence-dependent setup times.
Int. J. Intell. Syst., 2022
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects.
Eng. Appl. Artif. Intell., 2022
A comparative performance study of random-grid model for hyperparameters selection in detection of abnormalities in digital breast images.
Concurr. Comput. Pract. Exp., 2022
Characterization of abnormalities in breast cancer images using nature-inspired metaheuristic optimized convolutional neural networks model.
Concurr. Comput. Pract. Exp., 2022
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., 2022
Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images.
Comput. Biol. Medicine, 2022
Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm.
IEEE Access, 2022
Crime Detection and Analysis from Social Media Messages Using Machine Learning and Natural Language Processing Technique.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022
2021
Secur. Commun. Networks, 2021
Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature.
Neural Comput. Appl., 2021
Metaheuristic algorithms for one-dimensional bin-packing problems: A survey of recent advances and applications.
J. Intell. Syst., 2021
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease.
CoRR, 2021
Concurr. Comput. Pract. Exp., 2021
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images.
Biomed. Signal Process. Control., 2021
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis.
Artif. Intell. Rev., 2021
IEEE Access, 2021
2020
Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks.
PeerJ Comput. Sci., 2020
A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems.
Neural Comput. Appl., 2020
Ant colony optimization edge selection for support vector machine speed optimization.
Neural Comput. Appl., 2020
A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography.
IEEE Access, 2020
Metaheuristic Approaches for One-Dimensional Bin Packing Problem: A Comparative Performance Study.
IEEE Access, 2020
Computational Intelligence Approach to Dynamic Blood Allocation With ABO-Rhesus Factor Compatibility Under Real-World Scenario.
IEEE Access, 2020
A Comparative Performance Study of Hybrid Firefly Algorithms for Automatic Data Clustering.
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the Conference on Information Communications Technology and Society, 2020
Proceedings of the Conference on Information Communications Technology and Society, 2020
Proceedings of the Conference on Information Communications Technology and Society, 2020
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Proceedings of the Applied Informatics - Third International Conference, 2020
2019
Enhanced symbiotic organisms search algorithm for unrelated parallel machines manufacturing scheduling with setup times.
Knowl. Based Syst., 2019
Expert Syst. Appl., 2019
Mathematical model formulation and hybrid metaheuristic optimization approach for near-optimal blood assignment in a blood bank system.
Expert Syst. Appl., 2019
Hybrid symbiotic organisms search feedforward neural network model for stock price prediction.
CoRR, 2019
IEEE Access, 2019
A Comparative Study of Meta-Heuristic Optimization Algorithms for 0 - 1 Knapsack Problem: Some Initial Results.
IEEE Access, 2019
Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization.
IEEE Access, 2019
Automatic Data Clustering Using Hybrid Firefly Particle Swarm Optimization Algorithm.
IEEE Access, 2019
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
Proceedings of the Hybrid Metaheuristics - 11th International Workshop, 2019
2018
An Improved Firefly Algorithm for the Unrelated Parallel Machines Scheduling Problem With Sequence-Dependent Setup Times.
IEEE Access, 2018
An Improved Generalized Regression Neural Network for Type II Diabetes Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
Proceedings of the 2018 International Conference on Algorithms, 2018
2017
J. Intell. Syst., 2017
Soft sets based symbiotic organisms search algorithm for resource discovery in cloud computing environment.
Future Gener. Comput. Syst., 2017
Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem.
Expert Syst. Appl., 2017
Expert Syst. Appl., 2017
Concurr. Comput. Pract. Exp., 2017
2016
Multiagent Grid Syst., 2016
Architectural Pattern for Scheduling Multi-Component Applications in Distributed Systems.
Int. J. Grid High Perform. Comput., 2016
Scheduling multi-component applications with mobile agents in heterogeneous distributed systems.
Concurr. Comput. Pract. Exp., 2016
Resource Selection with Soft Set Attribute Reduction Based on Improved Genetic Algorithm.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016
2015
Multiagent-based approach for scheduling meta-applications in heterogeneous grid environments.
Multiagent Grid Syst., 2015
Int. J. Grid Util. Comput., 2015
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2015
A Multiagent-Based Approach to Scheduling of Multi-component Applications in Distributed Systems.
Proceedings of the Artificial Intelligence Perspectives and Applications, 2015
2013
Int. J. Grid High Perform. Comput., 2013
Int. J. Cloud Appl. Comput., 2013
2012
Int. J. Grid High Perform. Comput., 2012
2011
Int. J. Dependable Trust. Inf. Syst., 2011
2010
Design and Implementation of Students' Information System for Tertiary Institutions Using Neural Networks: An Open Source Approach.
Int. J. Green Comput., 2010