Software Effort and Function Points Estimation Models Based Radial Basis Function and Feedforward Artificial Neural Networks. - Alaa F. Sheta; David Rine; Sofian Kassaymeh (Int. J. Next Gener. Comput., 2015)

A Hybrid Salp Swarm Algorithm with Artificial Neural Network Model for Predicting the Team Size Required for Software Testing Phase. - Sofian Kassaymeh; Salwani Abdullah; Mohammed Alweshah; Abdelaziz I. Hammouri (ICEEI, 2021)

Salp Swarm Optimizer for Modeling Software Reliability Prediction Problems. - Sofian Kassaymeh; Salwani Abdullah; Mohamad M. Al-Laham; Mohammed Alweshah; Mohammed Azmi Al-Betar; Zalinda Othman (Neural Process. Lett., 2021)

A Hybrid White Shark Equilibrium Optimizer for Power Scheduling Problem Based IoT. - Sharif Naser Makhadmeh; Mohammed Azmi Al-Betar; Khaled Assaleh 001; Sofian Kassaymeh (IEEE Access, 2022)

Salp swarm optimizer for modeling the software fault prediction problem. - Sofian Kassaymeh; Salwani Abdullah; Mohammed Azmi Al-Betar; Mohammed Alweshah (J. King Saud Univ. Comput. Inf. Sci., 2022)

Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm. - Sofian Kassaymeh; Mohamad M. Al-Laham; Mohammed Azmi Al-Betar; Mohammed Alweshah; Salwani Abdullah; Sharif Naser Makhadmeh (Knowl. Based Syst., 2022)

Self-adaptive salp swarm algorithm for optimization problems. - Sofian Kassaymeh; Salwani Abdullah; Mohammed Azmi Al-Betar; Mohammed Alweshah; Mohamad M. Al-Laham; Zalinda Othman (Soft Comput., 2022)

Parallel Metaheuristic Algorithms for Solving Imbalanced Data Classification Problems. - Mohammed Alweshah; Muder Almiani; Saleh Alkhalaileh; Sofian Kassaymeh; Essa Abdullah Hezzam; Waleed Alomoush (IEEE Access, 2023)

A review of UAV Visual Detection and Tracking Methods. - Raed Abu Zitar; Mohammed Azmi Al-Betar; Mohamad Ryalat; Sofian Kassaymeh (CoRR, 2023)

An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models. - Mohamad M. Al-Laham; Sofian Kassaymeh; Mohammed Azmi Al-Betar; Sharif Naser Makhadmeh; Dheeb Albashish; Mohammed Alweshah (Comput. Electr. Eng., 2023)

An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering. - Sofian Kassaymeh; Salwani Abdullah; Mohammed Azmi Al-Betar; Mohammed Alweshah; Amer Abu Salem; Sharif Naser Makhadmeh; Mohammad Atwah Al-Ma'aitah (Artif. Intell. Rev., 2023)

Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting. - Mohammed Azmi Al-Betar; Sofian Kassaymeh; Sharif Naser Makhadmeh; Salam Fraihat; Salwani Abdullah (Appl. Soft Comput., 2023)

An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem. - Mohammed Alweshah; Sofian Kassaymeh; Saleh Alkhalaileh; Mohammad Almseidin; Ibrahim Altarawni (Neural Process. Lett., 2023)

Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review. - Sharif Naser Makhadmeh; Mohammed Azmi Al-Betar; Iyad Abu Doush; Mohammed A. Awadallah 001; Sofian Kassaymeh; Seyedali Mirjalili; Raed Abu Zitar (IEEE Access, 2024)

Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques. - Sofian Kassaymeh; Mohammed Alweshah; Mohammed Azmi Al-Betar; Abdelaziz I. Hammouri; Mohammad Atwah Al-Ma'aitah (Clust. Comput., 2024)

Improving intrusion detection in the IoT with African vultures optimisation algorithm-based feature selection. - Mohammed Alweshah; Ghadeer Ahmad Alhebaishan; Sofian Kassaymeh; Saleh Alkhalaileh; Mohammed Ababneh (Int. J. Data Min. Model. Manag., 2024)

Hybrid Aquila optimizer for efficient classification with probabilistic neural networks. - Mohammed Alweshah; Mustafa Alessa; Saleh Alkhalaileh; Sofian Kassaymeh; Bilal Abu-Salih (Multiagent Grid Syst., 2024)

Optimizing beyond boundaries: empowering the salp swarm algorithm for global optimization and defective software module classification. - Sofian Kassaymeh; Mohammed Azmi Al-Betar; Gaith Rjoubd; Salam Fraihat; Salwani Abdullah; Ammar Almasri (Neural Comput. Appl., 2024)

Enhanced Dynamic Deep Q-Network for Federated Learning scheduling policies on IoT devices using explanation-driven trust. - Gaith Rjoub; Hanae Elmekki; Jamal Bentahar; Witold Pedrycz; Sofian Kassaymeh; Shahed Bassam Almobydeen; Rachida Dssouli (Knowl. Based Syst., 2025)

Integration of Deep Learning and Image Segmentation in Computational Modeling for Improved Biospeckle Image Analysis. - Hatem S. A. Hamatta; Ch. L. N. Deepika; Gaith Rjoub; Sofian Kassaymeh; R. Manikandan; Sanjay Kumar Suman; L. Bhagyalakshmi 001 (SN Comput. Sci., 2025)

Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification. - Jameel Saraireh; Mary Agoyi; Sofian Kassaymeh (Int. J. Comput. Intell. Syst., 2025)