Design and Implementation of Students' Information System for Tertiary Institutions Using Neural Networks: An Open Source Approach. - Afolayan Ayodele Obiniyi; Ezugwu E. Absalom (Int. J. Green Comput., 2010)

Network Security and Firewall Technology: A Step to Safety of National IT Vision. - Afolayan Ayodele Obiniyi; Absalom E. Ezugwu; Mohammed Dikko (Int. J. Dependable Trust. Inf. Syst., 2011)

Rhotrix Multiplication on Two-Dimensional Process Grid Topologies. - Absalom E. Ezugwu; Sahalu B. Junaidu (Int. J. Grid High Perform. Comput., 2012)

Virtual Machine Allocation in Cloud Computing Environment. - Ezugwu E. Absalom; Seyed M. Buhari; Sahalu B. Junaidu (Int. J. Cloud Appl. Comput., 2013)

A Generic Reference Architecture for Collaboratory Scientific Virtual Laboratory. - Ezugwu E. Absalom; Seyed M. Buhari; Afolayan Ayodele Obiniyi; Sahalu B. Junaidu (Int. J. Grid High Perform. Comput., 2013)

A Multiagent-Based Approach to Scheduling of Multi-component Applications in Distributed Systems. - Ezugwu E. Absalom; Marc E. Frîncu; Sahalu B. Junaidu (CSOC (1), 2015)

Multiset Genetic Algorithm Approach to Grid Resource Allocation. - Absalom E. Ezugwu; Daniel I. Yakmut; Paschal A. Ochang; Seyed M. Buhari; Marc E. Frîncu; Sahalu B. Junaidu (IBICA, 2015)

Resource management system for scientific virtual laboratory applications. - Absalom E. Ezugwu; Seyed M. Buhari; Sahalu B. Junaidu (Int. J. Grid Util. Comput., 2015)

Multiagent-based approach for scheduling meta-applications in heterogeneous grid environments. - Absalom E. Ezugwu; Marc E. Frîncu; Afolayan Ayodele Obiniyi; Seyed M. Buhari; Sahalu B. Junaidu (Multiagent Grid Syst., 2015)

Resource Selection with Soft Set Attribute Reduction Based on Improved Genetic Algorithm. - Absalom E. Ezugwu; Shahnaz N. Shahbazova; Aderemi Oluyinka Adewumi; Sahalu B. Junaidu (WCSC, 2016)

Scheduling multi-component applications with mobile agents in heterogeneous distributed systems. - Absalom E. Ezugwu; Sahalu B. Junaidu; Marc E. Frîncu; Seyed M. Buhari; Afolayan Ayodele Obiniyi (Concurr. Comput. Pract. Exp., 2016)

Architectural Pattern for Scheduling Multi-Component Applications in Distributed Systems. - Absalom E. Ezugwu; Marc E. Frîncu; Sahalu B. Junaidu (Int. J. Grid High Perform. Comput., 2016)

Characterization of grid computing resources using measurement-based evaluation. - Absalom E. Ezugwu; Marc E. Frîncu; Sahalu B. Junaidu (Multiagent Grid Syst., 2016)

Neural network-based multi-agent approach for scheduling in distributed systems. - Absalom E. Ezugwu; Marc Frîncu; Aderemi Oluyinka Adewumi; Seyed M. Buhari; Sahalu B. Junaidu (Concurr. Comput. Pract. Exp., 2017)

Discrete symbiotic organisms search algorithm for travelling salesman problem. - Absalom E. Ezugwu; Aderemi Oluyinka Adewumi (Expert Syst. Appl., 2017)

Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem. - Absalom E. Ezugwu; Aderemi Oluyinka Adewumi; Marc Eduard Frîncu (Expert Syst. Appl., 2017)

Soft sets based symbiotic organisms search algorithm for resource discovery in cloud computing environment. - Absalom E. Ezugwu; Aderemi Oluyinka Adewumi (Future Gener. Comput. Syst., 2017)

Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets. - Absalom E. Ezugwu; Nneoma A. Okoroafor; Seyed M. Buhari; Marc Eduard Frîncu; Sahalu B. Junaidu (J. Intell. Syst., 2017)

A Comparative Study of Metaheuristics for Blood Assignment Problem. - Prinolan Govender; Absalom E. Ezugwu (ACAI, 2018)

An Improved Generalized Regression Neural Network for Type II Diabetes Classification. - Moeketsi Ndaba; Anban W. Pillay; Absalom E. Ezugwu (ICCSA (4), 2018)

An Improved Firefly Algorithm for the Unrelated Parallel Machines Scheduling Problem With Sequence-Dependent Setup Times. - Absalom E. Ezugwu; Francis Akutsah (IEEE Access, 2018)

A Symbiotic Organisms Search Algorithm for Blood Assignment Problem. - Prinolan Govender; Absalom E. Ezugwu (HM, 2019)

Parallel Symbiotic Organisms Search Algorithm. - Absalom E. Ezugwu; Rosanne Els; Jean Vincent Fonou Dombeu; Duane Naidoo; Kimone Pillay (ICCSA (5), 2019)

Stock Price Forecasting Using Symbiotic Organisms Search Trained Neural Networks. - Bradley J. Pillay; Absalom E. Ezugwu (ICCSA (5), 2019)

Automatic Data Clustering Using Hybrid Firefly Particle Swarm Optimization Algorithm. - Moyinoluwa B. Agbaje; Absalom E. Ezugwu; Rosanne Els (IEEE Access, 2019)

Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization. - Andronicus Ayobami Akinyelu; Absalom E. Ezugwu (IEEE Access, 2019)

A Comparative Study of Meta-Heuristic Optimization Algorithms for 0 - 1 Knapsack Problem: Some Initial Results. - Absalom E. Ezugwu; Verosha Pillay; Divyan Hirasen; Kershen Sivanarain; Melvin Govender (IEEE Access, 2019)

A Symbiotic Organisms Search Algorithm for Optimal Allocation of Blood Products. - Prinolan Govender; Absalom E. Ezugwu (IEEE Access, 2019)

Hybrid symbiotic organisms search feedforward neural network model for stock price prediction. - Bradley J. Pillay; Absalom E. Ezugwu (CoRR, 2019)

Mathematical model formulation and hybrid metaheuristic optimization approach for near-optimal blood assignment in a blood bank system. - Absalom E. Ezugwu; Micheal Olusoji Olusanya; Prinolan Govender (Expert Syst. Appl., 2019)

Symbiotic organisms search algorithm: Theory, recent advances and applications. - Absalom E. Ezugwu; Doddy Prayogo (Expert Syst. Appl., 2019)

Enhanced symbiotic organisms search algorithm for unrelated parallel machines manufacturing scheduling with setup times. - Absalom E. Ezugwu (Knowl. Based Syst., 2019)

Diabetes Classification Techniques: A Brief State-of-the-Art Literature Review. - Jeffrey O. Agushaka; Absalom E. Ezugwu (ICAI, 2020)

An Intelligent Machine Learning-Based Real-Time Public Transport System. - Menzi Skhosana; Absalom E. Ezugwu; Nadim Rana; Shafii Muhammad Abdulhamid (ICCSA (6), 2020)

Smart Home Automation System Using ZigBee, Bluetooth and Arduino Technologies. - Olutosin Taiwo; Absalom E. Ezugwu; Nadim Rana; Shafii Muhammad Abdulhamid (ICCSA (6), 2020)

Smart Home Automation: Taxonomy, Composition, Challenges and Future Direction. - Olutosin Taiwo; Lubna Abdel Kareim Gabralla; Absalom E. Ezugwu (ICCSA (6), 2020)

Deep Learning Model for Forecasting Institutional Building Energy Consumption. - Simangaliso Mlangeni; Absalom E. Ezugwu; Haruna Chiroma (ICTAS, 2020)

Hybrid Symbiotic Organism Search algorithms for Automatic Data Clustering. - Vidushen Rajah; Absalom E. Ezugwu (ICTAS, 2020)

Irenbus: A Real-Time Public Transport Management System. - Menzi Skhosana; Absalom E. Ezugwu (ICTAS, 2020)

Influence of Initializing Krill Herd Algorithm With Low-Discrepancy Sequences. - Jeffrey O. Agushaka; Absalom E. Ezugwu (IEEE Access, 2020)

A Comparative Performance Study of Hybrid Firefly Algorithms for Automatic Data Clustering. - Absalom E. Ezugwu; Moyinoluwa B. Agbaje; Nahla Aljojo; Rosanne Els; Haruna Chiroma; Mohamed E. Abd Elaziz (IEEE Access, 2020)

Computational Intelligence Approach to Dynamic Blood Allocation With ABO-Rhesus Factor Compatibility Under Real-World Scenario. - Absalom E. Ezugwu; Olumuyiwa Otegbeye; Prinolan Govender; John O. Odo (IEEE Access, 2020)

Metaheuristic Approaches for One-Dimensional Bin Packing Problem: A Comparative Performance Study. - Chanaleä Munien; Shiv Mahabeer; Esther Dzitiro; Sharad Singh; Siluleko Zungu; Absalom E. Ezugwu (IEEE Access, 2020)

A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (IEEE Access, 2020)

Ant colony optimization edge selection for support vector machine speed optimization. - Andronicus Ayobami Akinyelu; Absalom E. Ezugwu; Aderemi Oluyinka Adewumi (Neural Comput. Appl., 2020)

A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. - Absalom E. Ezugwu; Olawale Joshua Adeleke; Andronicus Ayobami Akinyelu; Serestina Viriri (Neural Comput. Appl., 2020)

Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks. - Haruna Chiroma; Absalom E. Ezugwu; Fatsuma Jauro; Mohammed Ali Al-garadi; Idris N. Abdullahi; Liyana Shuib (PeerJ Comput. Sci., 2020)

CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu; Haruna Chiroma (IEEE Access, 2021)

Metaheuristics: a comprehensive overview and classification along with bibliometric analysis. - Absalom E. Ezugwu; Amit K. Shukla; Rahul Nath; Andronicus Ayobami Akinyelu; Jeffrey O. Agushaka; Haruna Chiroma; Pranab K. Muhuri (Artif. Intell. Rev., 2021)

A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (Biomed. Signal Process. Control., 2021)

A performance study of meta-heuristic approaches for quadratic assignment problem. - Thimershen Achary; Shivani Mahashakti Pillay; Sarah M. Pillai; Malusi Mqadi; Emma Genders; Absalom E. Ezugwu (Concurr. Comput. Pract. Exp., 2021)

Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (CoRR, 2021)

Metaheuristic algorithms for one-dimensional bin-packing problems: A survey of recent advances and applications. - Chanaleä Munien; Absalom E. Ezugwu (J. Intell. Syst., 2021)

Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature. - Absalom E. Ezugwu; Amit K. Shukla; Moyinoluwa B. Agbaje; Olaide Nathaniel Oyelade; Adán José García; Jeffrey O. Agushaka (Neural Comput. Appl., 2021)

Internet of Things-Based Intelligent Smart Home Control System. - Olutosin Taiwo; Absalom E. Ezugwu (Secur. Commun. Networks, 2021)

Crime Detection and Analysis from Social Media Messages Using Machine Learning and Natural Language Processing Technique. - Xolani Lombo; Olaide Nathaniel Oyelade; Absalom E. Ezugwu (ICCSA (Workshops 5), 2022)

Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm. - Olaide Nathaniel Oyelade; Absalom El-Shamir Ezugwu; Tehnan I. A. Mohamed; Laith Mohammad Abualigah (IEEE Access, 2022)

Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu; Hein S. Venter; Seyedali Mirjalili; Amir H. Gandomi (Comput. Biol. Medicine, 2022)

Influence of probability distribution initialization methods on the performance of advanced arithmetic optimization algorithm with application to unrelated parallel machine scheduling problem. - Jeffrey O. Agushaka; Absalom E. Ezugwu (Concurr. Comput. Pract. Exp., 2022)

Characterization of abnormalities in breast cancer images using nature-inspired metaheuristic optimized convolutional neural networks model. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (Concurr. Comput. Pract. Exp., 2022)

A comparative performance study of random-grid model for hyperparameters selection in detection of abnormalities in digital breast images. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (Concurr. Comput. Pract. Exp., 2022)

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. - Absalom E. Ezugwu; Abiodun M. Ikotun; Olaide Nathaniel Oyelade; Laith Mohammad Abualigah; Jeffrey O. Agushaka; Christopher Ifeanyi Eke; Andronicus Ayobami Akinyelu (Eng. Appl. Artif. Intell., 2022)

Advanced discrete firefly algorithm with adaptive mutation-based neighborhood search for scheduling unrelated parallel machines with sequence-dependent setup times. - Absalom E. Ezugwu (Int. J. Intell. Syst., 2022)

Boosting symbiotic organism search algorithm with ecosystem service for dynamic blood allocation in blood banking system. - Prinolan Govender; Absalom E. Ezugwu (J. Exp. Theor. Artif. Intell., 2022)

Evaluation of several initialization methods on arithmetic optimization algorithm performance. - Jeffrey O. Agushaka; Absalom E. Ezugwu (J. Intell. Syst., 2022)

Multiclass feature selection with metaheuristic optimization algorithms: a review. - Olatunji O. Akinola; Absalom E. Ezugwu; Jeffrey O. Agushaka; Raed Abu Zitar; Laith Abualigah (Neural Comput. Appl., 2022)

Prairie Dog Optimization Algorithm. - Absalom E. Ezugwu; Jeffrey O. Agushaka; Laith Abualigah; Seyedali Mirjalili; Amir H. Gandomi (Neural Comput. Appl., 2022)

Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu; Sunday A. Adewuyi (Neural Comput. Appl., 2022)

Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model. - Olutosin Taiwo; Absalom E. Ezugwu; Olaide Nathaniel Oyelade; Mubarak Saad Al-Mutairi (Wirel. Commun. Mob. Comput., 2022)

A two-stage histogram equalization enhancement scheme for feature preservation in retinal fundus images. - Olubunmi Omobola Sule; Absalom E. Ezugwu (Biomed. Signal Process. Control., 2023)

Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review. - Absalom E. Ezugwu; Olaide Nathaniel Oyelade; Abiodun M. Ikotun; Jeffrey O. Agushaka; Yuh-Shan Ho (CoRR, 2023)

Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures. - Brennon Maistry; Absalom E. Ezugwu (CoRR, 2023)

A Comprehensive Study of Groundbreaking Machine Learning Research: Analyzing Highly Cited and Impactful Publications across Six Decades. - Absalom E. Ezugwu; Japie Greeff; Yuh-Shan Ho (CoRR, 2023)

A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview. - Absalom E. Ezugwu (CoRR, 2023)

Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer. - Jeffrey O. Agushaka; Absalom E. Ezugwu; Laith Abualigah (Neural Comput. Appl., 2023)

Correction to: Multiclass feature selection with metaheuristic optimization algorithms: a review. - Olatunji O. Akinola; Absalom E. Ezugwu; Jeffrey O. Agushaka; Raed Abu Zitar; Laith Abualigah (Neural Comput. Appl., 2023)

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data. - Abiodun M. Ikotun; Absalom E. Ezugwu; Laith Abualigah; Belal Abuhaija; Heming Jia (Inf. Sci., 2023)

EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu (Biomed. Signal Process. Control., 2023)

Horizontal crossover and co-operative hunting-based Whale Optimization Algorithm for feature selection. - Sanjoy Chakraborty; Apu Kumar Saha; Absalom E. Ezugwu; Ratul Chakraborty; Ashim Saha (Knowl. Based Syst., 2023)

Evaluating the Cultural Sensitivity of Large Language Models in Mental Health Support: A Framework Inspired by Ubuntu Values. - Sontaga G. Forane; Absalom E. Ezugwu; Kevin Igwe (BDA, 2024)

SIRO: A Deep Learning-Based Next-Generation Optimizer for Solving Global Optimization Problems. - Olaide Nathaniel Oyelade; Absalom E. Ezugwu; Apu Kumar Saha (MIC (1), 2024)

Strategic Optimization of Blood Allocation in Blood Banks for Enhanced Resource Utilization. - Simmera Ndlalane; Olumuyiwa Otegbeye; Absalom E. Ezugwu (HC@AIxIA, 2024)

Digital Sovereignty through Africa-Centric Emotional Intelligence: A Proof of Concept for AI-Enhanced Mental Health Support. - Sontaga G. Forane; Absalom E. Ezugwu; Kevin Igwe (ICDS, 2024)

Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A Concise Overview With a Proof-of-Concept Study. - Absalom El-Shamir Ezugwu (IEEE Access, 2024)

Explainable Artificial Intelligence Model for Predictive Maintenance in Smart Agricultural Facilities. - Melvin Kisten; Absalom El-Shamir Ezugwu; Micheal Olusoji Olusanya (IEEE Access, 2024)

Enhancing Lung Cancer Classification and Prediction With Deep Learning and Multi-Omics Data. - Tehnan I. A. Mohamed; Absalom El-Shamir Ezugwu (IEEE Access, 2024)

Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution. - Absalom E. Ezugwu; Yuh-Shan Ho; Ojonukpe S. Egwuche; Olufisayo S. Ekundayo; Annette Van Der Merwe; Apu Kumar Saha; Jayanta Pal (CoRR, 2024)

Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems. - Laith Abualigah; Diego Oliva; Heming Jia; Faiza Gul; Nima Khodadadi; Abdelazim G. Hussien; Mohammad Al-Shinwan; Absalom E. Ezugwu; Belal Abuhaija; Raed Abu Zitar (Multim. Tools Appl., 2024)

Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images. - Mohammad Otair; Laith Abualigah; Saif Tawfiq; Mohammad Alshinwan; Absalom E. Ezugwu; Raed Abu Zitar; Putra Sumari (Multim. Tools Appl., 2024)

Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems. - Saptadeep Biswas; Azharuddin Shaikh; Absalom El-Shamir Ezugwu; Japie Greeff; Seyedali Mirjalili; Uttam Kumar Bera; Laith Abualigah (Neural Comput. Appl., 2024)

A review of Artificial Intelligence methods in bladder cancer: segmentation, classification, and detection. - Ayah Bashkami; Ahmad Nasayreh; Sharif Naser Makhadmeh; Hasan Gharaibeh; Ahmed Ibrahim Alzahrani 001; Ayed Alwadain; He-Ming Jia; Absalom E. Ezugwu; Laith Abualigah (Artif. Intell. Rev., 2024)

Optimizing Blood Plasma Distribution in Blood Banks through Evolutionary Computation. - Mokgadi G. Makgopo; Olumuyiwa Otegbeye; Absalom E. Ezugwu; Diego Oliva (CEC, 2025)

Optimized Task Offloading in Multi-Domain IoT Networks Using Distributed Deep Reinforcement Learning in Edge Computing Environments. - Ojonukpe Sylvester Egwuche; Japie Greeff; Absalom El-Shamir Ezugwu (IEEE Access, 2025)

Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization. - Absalom El-Shamir Ezugwu; Olaide Nathaniel Oyelade; Jeffrey O. Agushaka; Apu Kumar Saha (IEEE Access, 2025)

An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering. - Laith Abualigah; Saleh Ali Alomari; Mohammad H. Almomani; Raed Abu Zitar; Hazem Migdady; Kashif Saleem; Aseel Smerat; Václav Snásel; Absalom E. Ezugwu (Array, 2025)

Deep learning: Historical overview from inception to actualization, models, applications and future trends. - Olufisayo S. Ekundayo; Absalom E. Ezugwu (Appl. Soft Comput., 2025)

Data Wrangling and Generation for Machine Learning Models in Medication Adherence Analytics: A practical Standpoint using Patient-Level and Medical Claims Data. - Wellington Kanyongo; Absalom El-Shamir Ezugwu; Tsitsi Moyo; Jean Vincent Fonou Dombeu (Data Intell., 2025)

Optimizing Intrusion Detection in Wireless Sensor Networks via the Improved Chameleon Swarm Algorithm for Feature Selection. - Laith Abualigah; Mohammad H. Almomani; Saleh Ali Alomari; Raed Abu Zitar; Hazem Migdady; Kashif Saleem; Václav Snásel; Aseel Smerat; Absalom E. Ezugwu (IET Commun., 2025)

Smart Homes of the Future. - Absalom E. Ezugwu; Olutosin Taiwo; Ojonukpe S. Egwuche; Laith Abualigah; Annette Van Der Merwe; Jayanta Pal; Apu Kumar Saha; Ahmed Ibrahim Alzahrani 001; Fahad Alblehai; Japie Greeff; Micheal Olusoji Olusanya (Trans. Emerg. Telecommun. Technol., 2025)

Enhanced crayfish optimization algorithm with differential evolution's mutation and crossover strategies for global optimization and engineering applications. - Binanda Maiti; Saptadeep Biswas; Absalom El-Shamir Ezugwu; Uttam Kumar Bera; Ahmed Ibrahim Alzahrani 001; Fahad Alblehai; Laith Abualigah (Artif. Intell. Rev., 2025)

Secure and efficient cloudlet networks: blockchain integration with agent-based proof of trust mechanism. - Nothile C. Masango; Jeffrey O. Agushaka; Mercy C. Amaefule; Olutosin Taiwo; Peiying Zhang 001; Absalom E. Ezugwu; Kashif Saleem; Aseel Smerat; Laith Abualigah (EURASIP J. Wirel. Commun. Netw., 2025)

A Novel Hybrid Optimizer Based on Coati Optimization Algorithm and Differential Evolution for Global Optimization and Constrained Engineering Problems. - Saptadeep Biswas; Binanda Maiti; Gyan Singh; Absalom E. Ezugwu; Kashif Saleem; Laith Abualigah; Aseel Smerat; Uttam Kumar Bera (Int. J. Comput. Intell. Syst., 2025)

MORKO: A Multi-objective Runge-Kutta Optimizer for Multi-domain Optimization Problems. - Kanak Kalita; Pradeep Jangir; Sundaram B. Pandya; Ahmed Ibrahim Alzahrani 001; Fahad Alblehai; Laith Abualigah; Absalom E. Ezugwu (Int. J. Comput. Intell. Syst., 2025)

Enhanced Global Optimization Using a Novel Hybrid Sine Cosine-Gazelle Algorithm with Brownian Motion and Lévy Flight Mechanisms. - Gyan Singh; Saptadeep Biswas; Absalom El-Shamir Ezugwu; Vladimir Simic; Uttam Kumar Bera; Kashif Saleem; Laith Abualigah (Int. J. Comput. Intell. Syst., 2025)

Machine learning-based prediction of elliptical double steel columns under compression loading. - Yang Ren; Haytham F. Isleem; Walaa J. K. Almoghaye; Abdelrahman Kamal Hamed; Pradeep Jangir; Arpita; Ghanshyam G. Tejani; Absalom E. Ezugwu; Ahmed A. Soliman (J. Big Data, 2025)