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ORCIDHamza Turabieh
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2020 – today
- 2023
[j35]Majdi M. Mafarja, Thaer Thaher, Mohammed Azmi Al-Betar
, Jingwei Too, Mohammed A. Awadallah, Iyad Abu Doush, Hamza Turabieh:
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning. Appl. Intell. 53(15): 18715-18757 (2023)- [j34]Majdi M. Mafarja, Thaer Thaher, Jingwei Too, Hamouda Chantar, Hamza Turabieh, Essam H. Houssein, Marwa M. Emam:
An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification. Neural Comput. Appl. 35(2): 1749-1775 (2023) - 2022
- [j33]Jiao Hu, Yi Liu, Ali Asghar Heidari, Yasmeen Bano, Alisherjon Ibrohimov, Guoxi Liang, Huiling Chen, Xumin Chen, Atef Zaguia, Hamza Turabieh:
An effective model for predicting serum albumin level in hemodialysis patients. Comput. Biol. Medicine 140: 105054 (2022) - [j32]Jianfu Xia, Zhifei Wang, Daqing Yang, Rizeng Li, Guoxi Liang, Huiling Chen, Ali Asghar Heidari, Hamza Turabieh, Majdi M. Mafarja, Zhifang Pan:
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis. Comput. Biol. Medicine 143: 105206 (2022) - [j31]Yi Chen, Mingjing Wang, Ali Asghar Heidari, Beibei Shi, Zhongyi Hu, Qian Zhang, Huiling Chen, Majdi M. Mafarja, Hamza Turabieh:
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm. Expert Syst. Appl. 194: 116511 (2022) - [j30]Thaer Thaher, Hamouda Chantar, Jingwei Too, Majdi M. Mafarja, Hamza Turabieh, Essam H. Houssein:
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems. Expert Syst. Appl. 195: 116550 (2022) - [j29]Songwei Zhao, Pengjun Wang, Xuehua Zhao, Hamza Turabieh, Majdi M. Mafarja, Huiling Chen:
Elite dominance scheme ingrained adaptive salp swarm algorithm: a comprehensive study. Eng. Comput. 38(5): 4501-4528 (2022) - [j28]Zenglin Qiao, Weifeng Shan, Nan Jiang, Ali Asghar Heidari, Huiling Chen, Yuntian Teng, Hamza Turabieh, Majdi M. Mafarja:
Gaussian bare-bones gradient-based optimization: Towards mitigating the performance concerns. Int. J. Intell. Syst. 37(6): 3193-3254 (2022) - [j27]Beibei Shi, Hua Ye, Ali Asghar Heidari, Long Zheng, Zhongyi Hu, Huiling Chen, Hamza Turabieh, Majdi M. Mafarja, Peiliang Wu:
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. 34(8 Part A): 4874-4887 (2022) - [j26]Thaer Thaher, Mohammed Awad, Mohammed Aldasht, Alaa F. Sheta, Hamza Turabieh, Hamouda Chantar:
An Enhanced Evolutionary Based Feature Selection Approach Using Grey Wolf Optimizer for the Classification of High-dimensional Biological Data. J. Univers. Comput. Sci. 28(5): 499-539 (2022) - [j25]Salam Salameh Shreem, Hamza Turabieh, Sana Al Azwari, Faiz Baothman:
Enhanced binary genetic algorithm as a feature selection to predict student performance. Soft Comput. 26(4): 1811-1823 (2022) - 2021
- [j24]Zhi Liu, Ardashir Mohammadzadeh, Hamza Turabieh, Majdi M. Mafarja, Shahab S. Band, Amir Mosavi:
A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems. IEEE Access 9: 10498-10508 (2021) - [j23]Yousef Hassouneh, Hamza Turabieh, Thaer Thaher, Iyad Tumar, Hamouda Chantar, Jingwei Too:
Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction. IEEE Access 9: 14239-14258 (2021) - [j22]Thaer Thaher, Majdi M. Mafarja, Hamza Turabieh, Pedro A. Castillo, Hossam Faris, Ibrahim Aljarah:
Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems. IEEE Access 9: 41082-41103 (2021) - [j21]Zhangze Xu, Wenyong Gui, Ali Asghar Heidari, Guoxi Liang, Huiling Chen, Chengwen Wu, Hamza Turabieh, Majdi M. Mafarja:
Spiral Motion Mode Embedded Grasshopper Optimization Algorithm: Design and Analysis. IEEE Access 9: 71104-71132 (2021) - [j20]Helong Yu, Jiawen Liu, Chengcheng Chen, Ali Asghar Heidari, Qian Zhang, Huiling Chen, Majdi M. Mafarja, Hamza Turabieh:
Corn Leaf Diseases Diagnosis Based on K-Means Clustering and Deep Learning. IEEE Access 9: 143824-143835 (2021) - [j19]Songwei Zhao, Pengjun Wang, Ali Asghar Heidari, Huiling Chen, Hamza Turabieh, Majdi M. Mafarja, Chengye Li:
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease. Comput. Biol. Medicine 134: 104427 (2021) - [j18]Shubiao Wu, Peng Mao, Rizeng Li, Zhennao Cai, Ali Asghar Heidari, Jianfu Xia, Huiling Chen, Majdi M. Mafarja, Hamza Turabieh, Xiaowei Chen:
Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis. Comput. Biol. Medicine 135: 104582 (2021) - [j17]Lei Liu, Dong Zhao, Fanhua Yu, Ali Asghar Heidari, Chengye Li, Jinsheng Ouyang, Huiling Chen, Majdi M. Mafarja, Hamza Turabieh, Jingye Pan:
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation. Comput. Biol. Medicine 136: 104609 (2021) - [j16]Lei Liu, Dong Zhao, Fanhua Yu, Ali Asghar Heidari, Jintao Ru, Huiling Chen, Majdi M. Mafarja, Hamza Turabieh, Zhifang Pan:
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Comput. Biol. Medicine 138: 104910 (2021) - [j15]Qian Zhang, Zhiyan Wang, Ali Asghar Heidari, Wenyong Gui, Qike Shao, Huiling Chen, Atef Zaguia, Hamza Turabieh, Mayun Chen:
Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study. Comput. Biol. Medicine 139: 104941 (2021) - [j14]Guochun Wang, Wenyong Gui, Guoxi Liang, Xuehua Zhao, Mingjing Wang, Majdi M. Mafarja, Hamza Turabieh, Junyi Xin, Huiling Chen, Xinsheng Ma:
Spiral Motion Enhanced Elite Whale Optimizer for Global Tasks. Complex. 2021: 8130378:1-8130378:33 (2021) - [j13]Hamza Turabieh, Sana Al Azwari, Mahmoud Rokaya, Wael Alosaimi, Abdullah Alharbi, Wajdi Alhakami, Mrim Alnfiai:
Enhanced Harris Hawks optimization as a feature selection for the prediction of student performance. Computing 103(7): 1417-1438 (2021) - [j12]Weifeng Shan, Zenglin Qiao, Ali Asghar Heidari, Huiling Chen, Hamza Turabieh, Yuntian Teng:
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis. Knowl. Based Syst. 214: 106728 (2021) - [j11]Ruyi Dong, Huiling Chen, Ali Asghar Heidari, Hamza Turabieh, Majdi M. Mafarja, Shengsheng Wang:
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem. Knowl. Based Syst. 233: 107529 (2021) - [j10]Malik Braik, Alaa F. Sheta, Hamza Turabieh, Heba Al-Hiary:
A novel lifetime scheme for enhancing the convergence performance of salp swarm algorithm. Soft Comput. 25(1): 181-206 (2021) - [j9]Thaer Thaher, Mahmoud Saheb, Hamza Turabieh, Hamouda Chantar:
Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models. Symmetry 13(4): 556 (2021) - 2020
- [j8]Iyad Tumar, Yousef Hassouneh, Hamza Turabieh, Thaer Thaher:
Enhanced Binary Moth Flame Optimization as a Feature Selection Algorithm to Predict Software Fault Prediction. IEEE Access 8: 8041-8055 (2020) - [j7]Chao Ma, Ardashir Mohammadzadeh, Hamza Turabieh, Majdi M. Mafarja, Shahab S. Band, Amir Mosavi:
Optimal Type-3 Fuzzy System for Solving Singular Multi-Pantograph Equations. IEEE Access 8: 225692-225702 (2020) - [c10]Alaa F. Sheta, Hamza Turabieh, Sultan Aljahdali, Abdulaziz Alangari:
Pavement Crack Detection Using Convolutional Neural Network. CATA 2020: 214-223 - [c9]Carl Haberfeld, Alaa F. Sheta, Md. Shafaeat Hossain, Hamza Turabieh, Salim Surani:
SAS Mobile Application for Diagnosis of Obstructive Sleep Apnea Utilizing Machine Learning Models. UEMCON 2020: 522-529
2010 – 2019
- 2019
- [j6]Hamza Turabieh, Majdi M. Mafarja, Xiaodong Li:
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction. Expert Syst. Appl. 122: 27-42 (2019) - [j5]Hamza Turabieh, Majdi M. Mafarja, Seyedali Mirjalili:
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. 6(6): 9316-9325 (2019) - 2018
- [j4]Hamza Turabieh, Amer O. Abu Salem, Noor Abu-El-Rub:
Dynamic L-RNN recovery of missing data in IoMT applications. Future Gener. Comput. Syst. 89: 575-583 (2018) - 2013
- [j3]Essam Al-Daoud, Hamza Turabieh:
New empirical nonparametric kernels for support vector machine classification. Appl. Soft Comput. 13(4): 1759-1765 (2013) - 2012
- [j2]Salwani Abdullah, Hamza Turabieh, Barry McCollum, Paul McMullan:
A hybrid metaheuristic approach to the university course timetabling problem. J. Heuristics 18(1): 1-23 (2012) - [j1]Salwani Abdullah, Hamza Turabieh:
On the use of multi neighbourhood structures within a Tabu-based memetic approach to university timetabling problems. Inf. Sci. 191: 146-168 (2012) - 2011
- [c8]Hamza Turabieh, Salwani Abdullah:
A Hybrid Fish Swarm Optimisation Algorithm for Solving Examination Timetabling Problems. LION 2011: 539-551 - 2010
- [c7]Salwani Abdullah, Hamza Turabieh, Barry McCollum, Paul McMullan:
A multi-objective post enrolment course timetabling problems: A new case study. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c6]Salwani Abdullah, Nasser R. Sabar, Mohd Zakree Ahmad Nazri, Hamza Turabieh, Barry McCollum:
A constructive hyper-heuristics for rough set attribute reduction. ISDA 2010: 1032-1035 - [c5]Salwani Abdullah, Hamza Turabieh, Barry McCollum, Paul McMullan:
A Tabu-Based Memetic Approach for Examination Timetabling Problems. RSKT 2010: 574-581 - [c4]Hamza Turabieh, Salwani Abdullah, Barry McCollum, Paul McMullan:
Fish Swarm Intelligent Algorithm for the Course Timetabling Problem. RSKT 2010: 588-595
2000 – 2009
- 2009
- [c3]Hamza Turabieh, Salwani Abdullah:
Incorporating tabu search into memetic approach for enrolment-based course timetabling problems. DMO 2009: 115-119 - [c2]Salwani Abdullah, Hamza Turabieh, Barry McCollum:
A Hybridization of Electromagnetic-Like Mechanism and Great Deluge for Examination Timetabling Problems. Hybrid Metaheuristics 2009: 60-72 - [c1]Hamza Turabieh, Salwani Abdullah, Barry McCollum:
Electromagnetism-like Mechanism with Force Decay Rate Great Deluge for the Course Timetabling Problem. RSKT 2009: 497-504
Coauthor Index
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