Mohammed Alweshah
Orcid: 0000-0002-3724-5111
According to our database1,
Mohammed Alweshah
authored at least 37 papers
between 2015 and 2024.
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Bibliography
2024
Natural language inference model for customer advocacy detection in online customer engagement.
Mach. Learn., April, 2024
2023
An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem.
Neural Process. Lett., December, 2023
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities.
J. Big Data, 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
Clust. Comput., April, 2023
Intrusion detection for the internet of things (IoT) based on the emperor penguin colony optimization algorithm.
J. Ambient Intell. Humaniz. Comput., 2023
Parallel Metaheuristic Algorithms for Solving Imbalanced Data Classification Problems.
IEEE Access, 2023
2022
Intrusion detection for IoT based on a hybrid shuffled shepherd optimization algorithm.
J. Supercomput., 2022
Fuzzy Clustering Algorithm Based on Improved Global Best-Guided Artificial Bee Colony with New Search Probability Model for Image Segmentation.
Sensors, 2022
Neural Comput. Appl., 2022
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm.
Knowl. Based Syst., 2022
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis.
Knowl. Based Syst., 2022
J. King Saud Univ. Comput. Inf. Sci., 2022
African buffalo algorithm: Training the probabilistic neural network to solve classification problems.
J. King Saud Univ. Comput. Inf. Sci., 2022
Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study.
Int. J. Semantic Web Inf. Syst., 2022
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities.
CoRR, 2022
2021
Neural Process. Lett., 2021
Multim. Tools Appl., 2021
Solving feature selection problems by combining mutation and crossover operations with the monarch butterfly optimization algorithm.
Appl. Intell., 2021
Proceedings of the Eighth International Conference on Software Defined Systems, 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
2020
Neural Comput. Appl., 2020
A Hybrid Grey Wolf Optimiser Algorithm for Solving Time Series Classification Problems.
J. Intell. Syst., 2020
β-Hill climbing algorithm with probabilistic neural network for classification problems.
J. Ambient Intell. Humaniz. Comput., 2020
Improved water cycle algorithm with probabilistic neural network to solve classification problems.
Clust. Comput., 2020
Proceedings of the 2020 Seventh International Conference on Software Defined Systems, 2020
2019
Construction biogeography-based optimization algorithm for solving classification problems.
Neural Comput. Appl., 2019
A comparative study on spiking neural network encoding schema: implemented with cloud computing.
Clust. Comput., 2019
Proceedings of the Fourth International Conference on Fog and Mobile Edge Computing, 2019
2017
Int. J. Data Min. Model. Manag., 2017
Solving time series classification problems using support vector machine and neural network.
Int. J. Data Anal. Tech. Strateg., 2017
2015
Int. J. Big Data Intell., 2015
Hybridizing firefly algorithms with a probabilistic neural network for solving classification problems.
Appl. Soft Comput., 2015