Hamza Turabieh
Orcid: 0000-0002-8103-563X
According to our database1,
Hamza Turabieh
authored at least 45 papers
between 2009 and 2023.
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Bibliography
2023
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning.
Appl. Intell., August, 2023
An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification.
Neural Comput. Appl., 2023
2022
Enhanced binary genetic algorithm as a feature selection to predict student performance.
Soft Comput., 2022
An Enhanced Evolutionary Based Feature Selection Approach Using Grey Wolf Optimizer for the Classification of High-dimensional Biological Data.
J. Univers. Comput. Sci., 2022
Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization.
J. King Saud Univ. Comput. Inf. Sci., 2022
Gaussian bare-bones gradient-based optimization: Towards mitigating the performance concerns.
Int. J. Intell. Syst., 2022
Elite dominance scheme ingrained adaptive salp swarm algorithm: a comprehensive study.
Eng. Comput., 2022
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems.
Expert Syst. Appl., 2022
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm.
Expert Syst. Appl., 2022
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
2021
Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models.
Symmetry, 2021
A novel lifetime scheme for enhancing the convergence performance of salp swarm algorithm.
Soft Comput., 2021
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis.
Knowl. Based Syst., 2021
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem.
Knowl. Based Syst., 2021
Enhanced Harris Hawks optimization as a feature selection for the prediction of student performance.
Computing, 2021
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease.
Comput. Biol. Medicine, 2021
Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study.
Comput. Biol. Medicine, 2021
Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis.
Comput. Biol. Medicine, 2021
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation.
Comput. Biol. Medicine, 2021
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation.
Comput. Biol. Medicine, 2021
IEEE Access, 2021
IEEE Access, 2021
Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems.
IEEE Access, 2021
A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems.
IEEE Access, 2021
Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction.
IEEE Access, 2021
2020
Enhanced Binary Moth Flame Optimization as a Feature Selection Algorithm to Predict Software Fault Prediction.
IEEE Access, 2020
IEEE Access, 2020
SAS Mobile Application for Diagnosis of Obstructive Sleep Apnea Utilizing Machine Learning Models.
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020
Proceedings of 35th International Conference on Computers and Their Applications, 2020
2019
Dynamic Adaptive Network-Based Fuzzy Inference System (D-ANFIS) for the Imputation of Missing Data for Internet of Medical Things Applications.
IEEE Internet Things J., 2019
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction.
Expert Syst. Appl., 2019
2018
Future Gener. Comput. Syst., 2018
2013
Appl. Soft Comput., 2013
2012
On the use of multi neighbourhood structures within a Tabu-based memetic approach to university timetabling problems.
Inf. Sci., 2012
J. Heuristics, 2012
2011
A Hybrid Fish Swarm Optimisation Algorithm for Solving Examination Timetabling Problems.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
2010
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Electromagnetism-like Mechanism with Force Decay Rate Great Deluge for the Course Timetabling Problem.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009
A Hybridization of Electromagnetic-Like Mechanism and Great Deluge for Examination Timetabling Problems.
Proceedings of the Hybrid Metaheuristics, 6th International Workshop, 2009
Incorporating tabu search into memetic approach for enrolment-based course timetabling problems.
Proceedings of the 2nd Conference on Data Mining and Optimization, 2009