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ORCIDMohammed Alweshah
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2020 – today
- 2024
[j36]Sofian Kassaymeh
, Mohammed Alweshah, Mohammed Azmi Al-Betar, Abdelaziz I. Hammouri, Mohammad Atwah Al-Ma'aitah:
Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques. Clust. Comput. 27(1): 737-760 (2024)- [j35]Waleed Alomoush, Essam H. Houssein, Ayat Alrosan, Alaa Abd-Alrazaq, Mohammed Alweshah, Mohammad Alshinwan:
Joint opposite selection enhanced Mountain Gazelle Optimizer for brain stroke classification. Evol. Intell. 17(4): 2865-2883 (2024) - [j34]Mohammed Alweshah, Ghadeer Ahmad Alhebaishan, Sofian Kassaymeh, Saleh Alkhalaileh, Mohammed Ababneh:
Improving intrusion detection in the IoT with African vultures optimisation algorithm-based feature selection. Int. J. Data Min. Model. Manag. 16(3): 293-325 (2024) - [j33]Mohammed Alweshah, Mustafa Alessa, Saleh Alkhalaileh, Sofian Kassaymeh, Bilal Abu-Salih:
Hybrid Aquila optimizer for efficient classification with probabilistic neural networks. Multiagent Grid Syst. 20(1): 41-68 (2024) - [j32]Bilal Abu-Salih, Mohammed Alweshah, Moutaz Alazab, Manaf Al-Okaily, Muteeb Alahmari, Mohammad Alhabashneh, Saleh Al-Sharaeh:
Natural language inference model for customer advocacy detection in online customer engagement. Mach. Learn. 113(4): 2249-2275 (2024) - 2023
- [j31]Mohammed Alweshah, Muder Almiani, Saleh Alkhalaileh, Sofian Kassaymeh, Essa Abdullah Hezzam, Waleed Alomoush:
Parallel Metaheuristic Algorithms for Solving Imbalanced Data Classification Problems. IEEE Access 11: 114443-114458 (2023) - [j30]Sofian Kassaymeh, Salwani Abdullah, Mohammed Azmi Al-Betar, Mohammed Alweshah, Amer Abu Salem, Sharif Naser Makhadmeh, Mohammad Atwah Al-Ma'aitah:
An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering. Artif. Intell. Rev. 56(Supplement 3): 3877-3925 (2023) - [j29]Mohamad M. Al-Laham, Sofian Kassaymeh, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh, Dheeb Albashish, Mohammed Alweshah:
An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models. Comput. Electr. Eng. 111(Part A): 108923 (2023) - [j28]Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh, Mohammed Alweshah:
On detecting distributed denial of service attacks using fuzzy inference system. Clust. Comput. 26(2): 1337-1351 (2023) - [j27]Mohammed Alweshah, Abdelaziz I. Hammouri, Saleh Alkhalaileh, Omar A. Alzubi:
Intrusion detection for the internet of things (IoT) based on the emperor penguin colony optimization algorithm. J. Ambient Intell. Humaniz. Comput. 14(5): 6349-6366 (2023) - [j26]Bilal Abu-Salih, Muhammad Al-Qurishi, Mohammed Alweshah, Mohammad Al-Smadi, Reem Alfayez, Heba Saadeh:
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities. J. Big Data 10(1): 81 (2023) - [j25]Mohammed Alweshah, Sofian Kassaymeh, Saleh Alkhalaileh, Mohammad Almseidin, Ibrahim Altarawni:
An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem. Neural Process. Lett. 55(8): 10925-10950 (2023) - 2022
- [j24]Ammar Almomani, Mohammad Alauthman, Mohd Taib Shatnawi, Mohammed Alweshah, Ayat Alrosan, Waleed Alomoush, Brij B. Gupta:
Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study. Int. J. Semantic Web Inf. Syst. 18(1): 1-24 (2022) - [j23]Mohammed Alweshah, Muder Almiani, Nedaa Almansour, Saleh Al Khalaileh, Hamza Aldabbas, Waleed Alomoush, Almahdi Mohammed Alshareef:
Vehicle routing problems based on Harris Hawks optimization. J. Big Data 9(1): 42 (2022) - [j22]Mohammed Alweshah, Lobna Rababa, Mohammed Hashem Ryalat, Ammar Al Momani, Mohamed F. Ababneh:
African buffalo algorithm: Training the probabilistic neural network to solve classification problems. J. King Saud Univ. Comput. Inf. Sci. 34(5): 1808-1818 (2022) - [j21]Sofian Kassaymeh, Salwani Abdullah, Mohammed Azmi Al-Betar, Mohammed Alweshah:
Salp swarm optimizer for modeling the software fault prediction problem. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3365-3378 (2022) - [j20]Mohammed Alweshah, Saleh Alkhalaileh, Mohammed Azmi Al-Betar, Azuraliza Abu Bakar:
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis. Knowl. Based Syst. 235: 107629 (2022) - [j19]Sofian Kassaymeh, Mohamad M. Al-Laham, Mohammed Azmi Al-Betar, Mohammed Alweshah, Salwani Abdullah, Sharif Naser Makhadmeh:
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm. Knowl. Based Syst. 244: 108511 (2022) - [j18]Mohammed Alweshah, Saleh Al Khalaileh, Brij B. Gupta, Ammar Almomani, Abdelaziz I. Hammouri, Mohammed Azmi Al-Betar:
The monarch butterfly optimization algorithm for solving feature selection problems. Neural Comput. Appl. 34(14): 11267-11281 (2022) - [j17]Waleed Alomoush, Osama Ahmed Khashan, Ayat Alrosan, Essam H. Houssein, Hani Attar, Mohammed Alweshah, Fuad Alhosban:
Fuzzy Clustering Algorithm Based on Improved Global Best-Guided Artificial Bee Colony with New Search Probability Model for Image Segmentation. Sensors 22(22): 8956 (2022) - [j16]Sofian Kassaymeh, Salwani Abdullah, Mohammed Azmi Al-Betar, Mohammed Alweshah, Mohamad M. Al-Laham, Zalinda Othman:
Self-adaptive salp swarm algorithm for optimization problems. Soft Comput. 26(18): 9349-9368 (2022) - [j15]Mohammed Alweshah, Saleh Alkhalaileh, Majdi Beseiso, Muder Almiani, Salwani Abdullah:
Intrusion detection for IoT based on a hybrid shuffled shepherd optimization algorithm. J. Supercomput. 78(10): 12278-12309 (2022) - [i1]Bilal Abu-Salih, Muhammad Al-Qurishi, Mohammed Alweshah, Mohammad Al-Smadi, Reem Alfayez, Heba Saadeh:
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities. CoRR abs/2207.03771 (2022) - 2021
- [j14]Mohammed Alweshah:
Solving feature selection problems by combining mutation and crossover operations with the monarch butterfly optimization algorithm. Appl. Intell. 51(6): 4058-4081 (2021) - [j13]Osama M. Dorgham, Mohammed Alweshah, Mohammed Hashem Ryalat, Jawdat Alshaer, M. Khader, Saleh Alkhalaileh:
Monarch butterfly optimization algorithm for computed tomography image segmentation. Multim. Tools Appl. 80(20): 30057-30090 (2021) - [j12]Sofian Kassaymeh, Salwani Abdullah, Mohamad M. Al-Laham, Mohammed Alweshah, Mohammed Azmi Al-Betar, Zalinda Othman:
Salp Swarm Optimizer for Modeling Software Reliability Prediction Problems. Neural Process. Lett. 53(6): 4451-4487 (2021) - [j11]Mohammed Alweshah, Saleh Alkhalaileh, Dheeb Albashish, Majdi M. Mafarja, Qusay Bsoul, Osama M. Dorgham:
A hybrid mine blast algorithm for feature selection problems. Soft Comput. 25(1): 517-534 (2021) - [c4]Sofian Kassaymeh, Salwani Abdullah, Mohammed Alweshah, Abdelaziz I. Hammouri:
A Hybrid Salp Swarm Algorithm with Artificial Neural Network Model for Predicting the Team Size Required for Software Testing Phase. ICEEI 2021: 1-6 - [c3]Abdul Razaque, Muder Almiani, Bandar Alotaibi, Munif Alotaibi, Mohammed Alweshah:
Novel File-Checksum Method for Data Duplication Removal of Patients. SDS 2021: 1-5 - 2020
- [j10]Mohammed Alweshah, Maria Al-Sendah, Osama M. Dorgham, Ammar Almomani, Sara Tedmori:
Improved water cycle algorithm with probabilistic neural network to solve classification problems. Clust. Comput. 23(4): 2703-2718 (2020) - [j9]Mohammed Alweshah, Aram Al-Daradkeh, Mohammed Azmi Al-Betar, Ammar Almomani, Saleh Oqeili:
β-Hill climbing algorithm with probabilistic neural network for classification problems. J. Ambient Intell. Humaniz. Comput. 11(8): 3405-3416 (2020) - [j8]Heba Al Nsour, Mohammed Alweshah, Abdelaziz I. Hammouri, Hussein Al Ofeishat, Seyedali Mirjalili:
A Hybrid Grey Wolf Optimiser Algorithm for Solving Time Series Classification Problems. J. Intell. Syst. 29(1): 846-857 (2020) - [j7]Omar A. Alzubi, Jafar Ahmad Abed Alzubi, Mohammed Alweshah, Issa Qiqieh, Sara Al-Shami, Manikandan Ramachandran:
An optimal pruning algorithm of classifier ensembles: dynamic programming approach. Neural Comput. Appl. 32(20): 16091-16107 (2020) - [c2]Muder Almiani, Abdul Razaque, Shen Ziqi, Ge Yaqin, Saleh Atiewi, Mohammed Alweshah, Ayman Al-Dmour, Basel Magableh:
Android CompCache based on Graphics Processing Unit. SDS 2020: 89-94
2010 – 2019
- 2019
- [j6]Ammar Almomani, Mohammad Alauthman, Mohammed Alweshah, Osama M. Dorgham, Firas AlBalas:
A comparative study on spiking neural network encoding schema: implemented with cloud computing. Clust. Comput. 22(2): 419-433 (2019) - [j5]Mohammed Alweshah:
Construction biogeography-based optimization algorithm for solving classification problems. Neural Comput. Appl. 31(10): 5679-5688 (2019) - [c1]Muder Almiani, Abdul Razaque, Liu Yimu, Meer Jaro Khan, Tang Minjie, Mohammed Alweshah, Saleh Atiewi:
Bluetooth Application-Layer Packet-Filtering For Blueborne Attack Defending. FMEC 2019: 142-148 - 2017
- [j4]Mohammed Alweshah, Hasan Rashaideh, Abdelaziz I. Hammouri, Hanadi Tayyeb, Mohammed Ababneh:
Solving time series classification problems using support vector machine and neural network. Int. J. Data Anal. Tech. Strateg. 9(3): 237-247 (2017) - [j3]Mohammed Alweshah, Abdelaziz I. Hammouri, Sara Tedmori:
Biogeography-based optimisation for data classification problems. Int. J. Data Min. Model. Manag. 9(2): 142-162 (2017) - 2015
- [j2]Mohammed Alweshah, Salwani Abdullah:
Hybridizing firefly algorithms with a probabilistic neural network for solving classification problems. Appl. Soft Comput. 35: 513-524 (2015) - [j1]Almahdi Mohammed Alshareef, Azuraliza Abu Bakar, Abdul Razak Hamdan, Sharifah Mastura Syed Abdullah, Mohammed Alweshah:
A case-based reasoning approach for pattern detection in Malaysia rainfall data. Int. J. Big Data Intell. 2(4): 285-302 (2015)
Coauthor Index
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