Sofian Kassaymeh
Orcid: 0000-0003-0586-1961
According to our database1,
Sofian Kassaymeh
authored at least 19 papers
between 2015 and 2025.
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Bibliography
2025
Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification.
Int. J. Comput. Intell. Syst., December, 2025
2024
Optimizing beyond boundaries: empowering the salp swarm algorithm for global optimization and defective software module classification.
Neural Comput. Appl., October, 2024
Hybrid Aquila optimizer for efficient classification with probabilistic neural networks.
Multiagent Grid Syst., 2024
Improving intrusion detection in the IoT with African vultures optimisation algorithm-based feature selection.
Int. J. Data Min. Model. Manag., 2024
Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques.
Clust. Comput., 2024
IEEE Access, 2024
2023
An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem.
Neural Process. Lett., December, 2023
Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting.
Appl. Soft Comput., December, 2023
An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering.
Artif. Intell. Rev., December, 2023
An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models.
Comput. Electr. Eng., October, 2023
Parallel Metaheuristic Algorithms for Solving Imbalanced Data Classification Problems.
IEEE Access, 2023
2022
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm.
Knowl. Based Syst., 2022
J. King Saud Univ. Comput. Inf. Sci., 2022
IEEE Access, 2022
2021
Neural Process. Lett., 2021
A Hybrid Salp Swarm Algorithm with Artificial Neural Network Model for Predicting the Team Size Required for Software Testing Phase.
Proceedings of the International Conference on Electrical Engineering and Informatics, 2021
2015
Software Effort and Function Points Estimation Models Based Radial Basis Function and Feedforward Artificial Neural Networks.
Int. J. Next Gener. Comput., 2015