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ORCIDMohammed S. Al-Samarraay
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- affiliation: Universiti Pendidikan Sultan Idris (UPSI), Perak, Malaysia
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2020 – today
- 2024
[j10]A. A. Zaidan, Alhamzah Alnoor, Osamah Shihab Albahri, R. T. Mohammed, Abdullah Hussein Alamoodi, Ahmed Shihab Albahri
, B. B. Zaidan, Salem Garfan, Hamsa Hameed, Mohammed S. Al-Samarraay, Ali Najm Jasim, Rami Qays Malik:
Corrigendum to "Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization" [Eng. Appl. Artif. Intell. 124 (2023) 106643]. Eng. Appl. Artif. Intell. 128: 107592 (2024)- [j9]Mohammed S. Al-Samarraay, Omar Al-Zuhairi, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, Muhammet Deveci, Omar Raed Alobaidi, Ahmed Shihab Albahri, Gang Kou:
An integrated fuzzy multi-measurement decision-making model for selecting optimization techniques of semiconductor materials. Expert Syst. Appl. 237(Part B): 121439 (2024) - [j8]Abeer AlSereidi, Sarah Qahtan M. Salih, R. T. Mohammed, Aws Alaa Zaidan, Hassan Albayati, Dragan Pamucar, Ahmed Shihab Albahri, B. B. Zaidan, Khaled Shaalan, Jameel R. Al-Obaidi, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Nazia Abdul Majid, Salem Garfan, Mohammed S. Al-Samarraay, Ali Najm Jasim, M. J. Baqer:
Novel Federated Decision Making for Distribution of Anti-SARS-CoV-2 Monoclonal Antibody to Eligible High-Risk Patients. Int. J. Inf. Technol. Decis. Mak. 23(1): 197-268 (2024) - 2023
- [j7]A. A. Zaidan, Alhamzah Alnoor, Osamah Shihab Albahri, R. T. Mohammed, Abdullah Hussein Alamoodi, Ahmed Shihab Albahri, B. B. Zaidan, Salem Garfan, Hamsa Hameed, Mohammed S. Al-Samarraay, Ali Najm Jasim, Rami Qays Malik:
Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization. Eng. Appl. Artif. Intell. 124: 106643 (2023) - [j6]Amneh Alamleh, Osamah Shihab Albahri, A. A. Zaidan, Abdullah Hussein Alamoodi, Ahmed Shihab Albahri, B. B. Zaidan, Sarah Qahtan, Amelia Ritahani Ismail, Rami Qays Malik, M. J. Baqer, Ali Najm Jasim, Mohammed S. Al-Samarraay:
Multi-Attribute Decision-Making for Intrusion Detection Systems: A Systematic Review. Int. J. Inf. Technol. Decis. Mak. 22(1): 589-636 (2023) - [j5]Osamah Shihab Albahri, Hassan A. AlSattar, Salem Garfan, Sarah Qahtan, A. A. Zaidan, Ibraheem Y. Y. Ahmaro, Abdullah Hussein Alamoodi, B. B. Zaidan, Ahmed Shihab Albahri, Mohammed S. Al-Samarraay, Ali Najm Jasim, M. J. Baqer:
Combination of Fuzzy-Weighted Zero-Inconsistency and Fuzzy Decision by Opinion Score Methods in Pythagorean m-Polar Fuzzy Environment: A Case Study of Sign Language Recognition Systems. Int. J. Inf. Technol. Decis. Mak. 22(4): 1341-1369 (2023) - [j4]Osamah Shihab Albahri, Mohammed S. Al-Samarraay, Hassan A. AlSattar, Abdullah Hussein Alamoodi, A. A. Zaidan, Ahmed Shihab Albahri, B. B. Zaidan, Ali Najm Jasim:
Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications. Neural Comput. Appl. 35(30): 22531-22549 (2023) - [j3]Amneh Alamleh, Osamah Shihab Albahri, A. A. Zaidan, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, B. B. Zaidan, Sarah Qahtan, H. A. Alsatar, Mohammed S. Al-Samarraay, Ali Najm Jasim:
Federated Learning for IoMT Applications: A Standardization and Benchmarking Framework of Intrusion Detection Systems. IEEE J. Biomed. Health Informatics 27(2): 878-887 (2023) - 2022
- [j2]Mohammed S. Al-Samarraay, A. A. Zaidan, Osamah Shihab Albahri, Dragan Pamucar, Hassan A. AlSattar, Abdullah Hussein Alamoodi, B. B. Zaidan, Ahmed Shihab Albahri:
Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition and sensor glove perspectives. Appl. Soft Comput. 116: 108284 (2022) - [j1]Mohammed S. Al-Samarraay, Mahmood Maher Salih, Mohamed Aktham Ahmed, A. A. Zaidan, Osamah Shihab Albahri, Dragan Pamucar, Hassan A. AlSattar, Abdullah Hussein Alamoodi, B. B. Zaidan, Kareem Abbas Dawood, Ahmed Shihab Albahri:
A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems. Neural Comput. Appl. 34(6): 4937-4955 (2022)
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last updated on 2024-08-05 20:22 CEST by the dblp team
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