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ORCIDMothanna Almahmoud
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2020 – today
- 2024
[j3]Dalia Alzu'bi, Mwaffaq El-Heis, Anas Ratib Alsoud, Mothanna Almahmoud, Laith Abualigah
:
Classification model for reducing absenteeism of nurses at hospitals using machine learning and artificial neural network techniques. Int. J. Syst. Assur. Eng. Manag. 15(7): 3266-3278 (2024)- 2022
- [j2]Maha Gharaibeh, Mothanna Almahmoud, Mostafa Z. Ali, Amer F. Al-Badarneh, Mwaffaq El-Heis, Laith Abualigah, Maryam Altalhi, Ahmad Alaiad, Amir H. Gandomi:
Early Diagnosis of Alzheimer's Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches. Big Data Cogn. Comput. 6(1): 2 (2022) - [j1]Khalid Alkhatib, Mothanna Almahmoud, Omar Elayan, Laith Abualigah:
Regional analytics and forecasting for most affected stock markets: The case of GCC stock markets during COVID-19 pandemic. Int. J. Syst. Assur. Eng. Manag. 13(3): 1298-1308 (2022) - [c2]Laith Abualigah, Sayel Abualigah, Mothanna Almahmoud, Agostino Forestiero, Gagan Sachdeva, Essam Said Hanandeh:
Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications. PerSOM 2022: 96-108 - 2021
- [c1]Mothanna Almahmoud, Dalia Alzu'bi, Qussai Yaseen:
ReDroidDet: Android Malware Detection Based on Recurrent Neural Network. ANT/EDI40 2021: 841-846
Coauthor Index
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