Incorporating tabu search into memetic approach for enrolment-based course timetabling problems. - Hamza Turabieh; Salwani Abdullah (DMO, 2009)

A Hybridization of Electromagnetic-Like Mechanism and Great Deluge for Examination Timetabling Problems. - Salwani Abdullah; Hamza Turabieh; Barry McCollum (Hybrid Metaheuristics, 2009)

Electromagnetism-like Mechanism with Force Decay Rate Great Deluge for the Course Timetabling Problem. - Hamza Turabieh; Salwani Abdullah; Barry McCollum (RSKT, 2009)

A multi-objective post enrolment course timetabling problems: A new case study. - Salwani Abdullah; Hamza Turabieh; Barry McCollum; Paul McMullan (IEEE Congress on Evolutionary Computation, 2010)

A constructive hyper-heuristics for rough set attribute reduction. - Salwani Abdullah; Nasser R. Sabar; Mohd Zakree Ahmad Nazri; Hamza Turabieh; Barry McCollum (ISDA, 2010)

A Tabu-Based Memetic Approach for Examination Timetabling Problems. - Salwani Abdullah; Hamza Turabieh; Barry McCollum; Paul McMullan (RSKT, 2010)

Fish Swarm Intelligent Algorithm for the Course Timetabling Problem. - Hamza Turabieh; Salwani Abdullah; Barry McCollum; Paul McMullan (RSKT, 2010)

A Hybrid Fish Swarm Optimisation Algorithm for Solving Examination Timetabling Problems. - Hamza Turabieh; Salwani Abdullah (LION, 2011)

A hybrid metaheuristic approach to the university course timetabling problem. - Salwani Abdullah; Hamza Turabieh; Barry McCollum; Paul McMullan (J. Heuristics, 2012)

On the use of multi neighbourhood structures within a Tabu-based memetic approach to university timetabling problems. - Salwani Abdullah; Hamza Turabieh (Inf. Sci., 2012)

New empirical nonparametric kernels for support vector machine classification. - Essam Al-Daoud; Hamza Turabieh (Appl. Soft Comput., 2013)

Dynamic L-RNN recovery of missing data in IoMT applications. - Hamza Turabieh; Amer O. Abu Salem; Noor Abu-El-Rub (Future Gener. Comput. Syst., 2018)

Iterated feature selection algorithms with layered recurrent neural network for software fault prediction. - Hamza Turabieh; Majdi M. Mafarja; Xiaodong Li 001 (Expert Syst. Appl., 2019)

Dynamic Adaptive Network-Based Fuzzy Inference System (D-ANFIS) for the Imputation of Missing Data for Internet of Medical Things Applications. - Hamza Turabieh; Majdi M. Mafarja; Seyedali Mirjalili (IEEE Internet Things J., 2019)

Pavement Crack Detection Using Convolutional Neural Network. - Alaa F. Sheta; Hamza Turabieh; Sultan Aljahdali; Abdulaziz Alangari (CATA, 2020)

SAS Mobile Application for Diagnosis of Obstructive Sleep Apnea Utilizing Machine Learning Models. - Carl Haberfeld; Alaa F. Sheta; Md. Shafaeat Hossain; Hamza Turabieh; Salim Surani (UEMCON, 2020)

Optimal Type-3 Fuzzy System for Solving Singular Multi-Pantograph Equations. - Chao Ma 021; Ardashir Mohammadzadeh; Hamza Turabieh; Majdi M. Mafarja; Shahab S. Band; Amir Mosavi (IEEE Access, 2020)

Enhanced Binary Moth Flame Optimization as a Feature Selection Algorithm to Predict Software Fault Prediction. - Iyad Tumar; Yousef Hassouneh; Hamza Turabieh; Thaer Thaher (IEEE Access, 2020)

Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction. - Yousef Hassouneh; Hamza Turabieh; Thaer Thaher; Iyad Tumar; Hamouda Chantar 001; Jingwei Too (IEEE Access, 2021)

A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems. - Zhi Liu; Ardashir Mohammadzadeh; Hamza Turabieh; Majdi M. Mafarja; Shahab S. Band; Amir Mosavi (IEEE Access, 2021)

Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems. - Thaer Thaher; Majdi M. Mafarja; Hamza Turabieh; Pedro A. Castillo; Hossam Faris; Ibrahim Aljarah (IEEE Access, 2021)

Spiral Motion Mode Embedded Grasshopper Optimization Algorithm: Design and Analysis. - Zhangze Xu; Wenyong Gui; Ali Asghar Heidari; Guoxi Liang; Huiling Chen 001; Chengwen Wu; Hamza Turabieh; Majdi M. Mafarja (IEEE Access, 2021)

Corn Leaf Diseases Diagnosis Based on K-Means Clustering and Deep Learning. - Helong Yu; Jiawen Liu; Chengcheng Chen; Ali Asghar Heidari; Qian Zhang 049; Huiling Chen 001; Majdi M. Mafarja; Hamza Turabieh (IEEE Access, 2021)

Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation. - Lei Liu 048; Dong Zhao; Fanhua Yu; Ali Asghar Heidari; Chengye Li; Jinsheng Ouyang; Huiling Chen 001; Majdi M. Mafarja; Hamza Turabieh; Jingye Pan (Comput. Biol. Medicine, 2021)

Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. - Lei Liu 048; Dong Zhao; Fanhua Yu; Ali Asghar Heidari; Jintao Ru; Huiling Chen 001; Majdi M. Mafarja; Hamza Turabieh; Zhifang Pan (Comput. Biol. Medicine, 2021)

Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis. - Shubiao Wu; Peng Mao; Rizeng Li; Zhennao Cai; Ali Asghar Heidari; Jianfu Xia; Huiling Chen 001; Majdi M. Mafarja; Hamza Turabieh; Xiaowei Chen (Comput. Biol. Medicine, 2021)

Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study. - Qian Zhang 049; Zhiyan Wang; Ali Asghar Heidari; Wenyong Gui; Qike Shao; Huiling Chen 001; Atef Zaguia; Hamza Turabieh; Mayun Chen (Comput. Biol. Medicine, 2021)

Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease. - Songwei Zhao; Pengjun Wang; Ali Asghar Heidari; Huiling Chen 001; Hamza Turabieh; Majdi M. Mafarja; Chengye Li (Comput. Biol. Medicine, 2021)

Spiral Motion Enhanced Elite Whale Optimizer for Global Tasks. - Guochun Wang; Wenyong Gui; Guoxi Liang; Xuehua Zhao; Mingjing Wang; Majdi M. Mafarja; Hamza Turabieh; Junyi Xin; Huiling Chen 001; Xinsheng Ma (Complex., 2021)

Enhanced Harris Hawks optimization as a feature selection for the prediction of student performance. - Hamza Turabieh; Sana Al Azwari; Mahmoud Rokaya; Wael Alosaimi; Abdullah Alharbi; Wajdi Alhakami; Mrim Alnfiai (Computing, 2021)

Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem. - Ruyi Dong; Huiling Chen 001; Ali Asghar Heidari; Hamza Turabieh; Majdi M. Mafarja; Shengsheng Wang 001 (Knowl. Based Syst., 2021)

Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis. - Weifeng Shan; Zenglin Qiao; Ali Asghar Heidari; Huiling Chen 001; Hamza Turabieh; Yuntian Teng (Knowl. Based Syst., 2021)

A novel lifetime scheme for enhancing the convergence performance of salp swarm algorithm. - Malik Braik; Alaa F. Sheta; Hamza Turabieh; Heba Al-Hiary (Soft Comput., 2021)

Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models. - Thaer Thaher; Mahmoud Saheb; Hamza Turabieh; Hamouda Chantar 001 (Symmetry, 2021)

An effective model for predicting serum albumin level in hemodialysis patients. - Jiao Hu; Yi Liu; Ali Asghar Heidari; Yasmeen Bano; Alisherjon Ibrohimov; Guoxi Liang; Huiling Chen 001; Xumin Chen; Atef Zaguia; Hamza Turabieh (Comput. Biol. Medicine, 2022)

Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis. - Jianfu Xia; Zhifei Wang; Daqing Yang; Rizeng Li; Guoxi Liang; Huiling Chen 001; Ali Asghar Heidari; Hamza Turabieh; Majdi M. Mafarja; Zhifang Pan (Comput. Biol. Medicine, 2022)

Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm. - Yi Chen 023; Mingjing Wang; Ali Asghar Heidari; Beibei Shi; Zhongyi Hu 001; Qian Zhang 049; Huiling Chen 001; Majdi M. Mafarja; Hamza Turabieh (Expert Syst. Appl., 2022)

Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems. - Thaer Thaher; Hamouda Chantar 001; Jingwei Too; Majdi M. Mafarja; Hamza Turabieh; Essam H. Houssein (Expert Syst. Appl., 2022)

Elite dominance scheme ingrained adaptive salp swarm algorithm: a comprehensive study. - Songwei Zhao; Pengjun Wang; Xuehua Zhao; Hamza Turabieh; Majdi M. Mafarja; Huiling Chen 001 (Eng. Comput., 2022)

Gaussian bare-bones gradient-based optimization: Towards mitigating the performance concerns. - Zenglin Qiao; Weifeng Shan; Nan Jiang 013; Ali Asghar Heidari; Huiling Chen 001; Yuntian Teng; Hamza Turabieh; Majdi M. Mafarja (Int. J. Intell. Syst., 2022)

Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization. - Beibei Shi; Hua Ye; Ali Asghar Heidari; Long Zheng; Zhongyi Hu 001; Huiling Chen 001; Hamza Turabieh; Majdi M. Mafarja; Peiliang Wu (J. King Saud Univ. Comput. Inf. Sci., 2022)

An Enhanced Evolutionary Based Feature Selection Approach Using Grey Wolf Optimizer for the Classification of High-dimensional Biological Data. - Thaer Thaher; Mohammed Awad; Mohammed Aldasht; Alaa F. Sheta; Hamza Turabieh; Hamouda Chantar 001 (J. Univers. Comput. Sci., 2022)

Enhanced binary genetic algorithm as a feature selection to predict student performance. - Salam Salameh Shreem; Hamza Turabieh; Sana Al Azwari; Faiz Baothman (Soft Comput., 2022)

An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification. - Majdi M. Mafarja; Thaer Thaher; Jingwei Too; Hamouda Chantar 001; Hamza Turabieh; Essam H. Houssein; Marwa M. Emam (Neural Comput. Appl., 2023)

Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning. - Majdi M. Mafarja; Thaer Thaher; Mohammed Azmi Al-Betar; Jingwei Too; Mohammed A. Awadallah 001; Iyad Abu Doush; Hamza Turabieh (Appl. Intell., 2023)

Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review. - Mohammad Beheshti; Imad Eddine Toubal; Khuder Alaboud; Mohammed Almalaysha; Olabode B. Ogundele; Hamza Turabieh; Nader Abdalnabi; Suzanne A. Boren; Grant J. Scott; Butros M. Dahu (Informatics, 2025)