Maad Ebrahim
Maad Ebrahim
PhD Candidate @ Université de Montréal
Verified email at - Homepage
Cited by
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Comprehensive performance analysis of RPL objective functions in IoT networks
W Mardini, M Ebrahim, M Al-Rudaini
International Journal of Communication Networks and Information Security 9 …, 2017
Will transfer learning enhance imagenet classification accuracy using imagenet-pretrained models?
M Ebrahim, M Al-Ayyoub, MA Alsmirat
2019 10th International Conference on Information and Communication Systems …, 2019
Performance study of augmentation techniques for hep2 cnn classification
M Ebrahim, M Alsmirat, M Al-Ayyoub
2018 9th International Conference on Information and Communication Systems …, 2018
Blockchain as privacy and security solution for smart environments: A Survey
M Ebrahim, A Hafid, E Elie
arXiv preprint arXiv:2203.08901, 2022
Determine bipolar disorder level from patient interviews using Bi-LSTM and feature fusion
M Ebrahim, M Al-Ayyoub, M Alsmirat
2018 Fifth International Conference on Social Networks Analysis, Management …, 2018
Resilience and load balancing in fog networks: A multi-criteria decision analysis approach
M Ebrahim, A Hafid
Microprocessors and Microsystems 101, 104893, 2023
Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning Approach
M Ebrahim, A Hafid
Computer Networks 237, 110095, 2023
Investigating the Classification of Human Recognition on Heterogeneous Devices Using Recurrent Neural Networks
H Najadat, M Ebrahim, M Alsmirat, O Shatnawi, MN Al-Rashdan, ...
Sustainable and Energy Efficient Computing Paradigms for Society, 67-80, 2021
Advanced disk herniation computer aided diagnosis system
M Ebrahim, M Alsmirat, M Al-Ayyoub
Scientific Reports 14 (1), 8071, 2024
Lifelong Learning for Fog Load Balancing: A Transfer Learning Approach
M Ebrahim, AS Hafid, MR Abid
arXiv preprint arXiv:2310.05187, 2023
Systematic Exploration of Transfer Learning Data Augmentation and Feature Concatenation Techniques for Medical Image Classification
M Ebrahim, M ALshbool, M Alsmirat
Jordan University of Science and Technology, 2019
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