| A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity M Safaei, EA Sundararajan, M Driss, W Boulila, A Shapi'i Computers in biology and medicine 136, 104754, 2021 | 356 | 2021 |
| Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions SB Atitallah, M Driss, W Boulila, HB Ghézala Computer Science Review 38, 100303, 2020 | 271 | 2020 |
| A lightweight chaos-based medical image encryption scheme using random shuffling and XOR operations F Masood, M Driss, W Boulila, J Ahmad, SU Rehman, SU Jan, A Qayyum, ... Wireless personal communications 127 (2), 1405-1432, 2022 | 113 | 2022 |
| RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification W Boulila, M Sellami, M Driss, M Al-Sarem, M Safaei, FA Ghaleb Computers and Electronics in Agriculture 182, 106014, 2021 | 98 | 2021 |
| An efficient approach based on privacy-preserving deep learning for satellite image classification M Alkhelaiwi, W Boulila, J Ahmad, A Koubaa, M Driss Remote Sensing 13 (11), 2221, 2021 | 82 | 2021 |
| Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions S Latif, M Driss, W Boulila, ZE Huma, SS Jamal, Z Idrees, J Ahmad Sensors 21 (22), 7518, 2021 | 77 | 2021 |
| A systematic literature review on outlier detection in wireless sensor networks M Safaei, S Asadi, M Driss, W Boulila, A Alsaeedi, H Chizari, R Abdullah, ... Symmetry 12 (3), 328, 2020 | 58 | 2020 |
| Weight initialization techniques for deep learning algorithms in remote sensing: Recent trends and future perspectives W Boulila, M Driss, E Alshanqiti, M Al-Sarem, F Saeed, M Krichen Advances on Smart and Soft Computing: Proceedings of ICACIn 2021, 477-484, 2022 | 56 | 2022 |
| Voting classifier-based intrusion detection for iot networks MA Khan, MA Khan Khattk, S Latif, AA Shah, M Ur Rehman, W Boulila, ... Advances on Smart and Soft Computing: Proceedings of ICACIn 2021, 313-328, 2022 | 55 | 2022 |
| Standalone noise and anomaly detection in wireless sensor networks: A novel time‐series and adaptive Bayesian‐network‐based approach M Safaei, AS Safaei, C Ismail Hassan, D Maha, B Wadii, A Shahla, S Mitra Software: Practice and Experience, 2019 | 55 | 2019 |
| Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images S Ben Atitallah, M Driss, W Boulila, A Koubaa, H Ben Ghezala International Journal of Imaging Systems and Technology 32 (2), 658-672, 2022 | 54 | 2022 |
| Microservices in IoT security: current solutions, research challenges, and future directions M Driss, D Hasan, W Boulila, J Ahmad Procedia Computer Science 192, 2385-2395, 2021 | 53 | 2021 |
| Selection of composable web services driven by user requirements Z Azmeh, M Driss, F Hamoui, M Huchard, N Moha, C Tibermacine 2011 IEEE International Conference on Web Services, 395-402, 2011 | 53 | 2011 |
| A novel chaos-based privacy-preserving deep learning model for cancer diagnosis MU Rehman, A Shafique, YY Ghadi, W Boulila, SU Jan, TR Gadekallu, ... IEEE Transactions on Network Science and Engineering 9 (6), 4322-4337, 2022 | 52 | 2022 |
| Randomly initialized convolutional neural network for the recognition of COVID‐19 using X‐ray images S Ben Atitallah, M Driss, W Boulila, H Ben Ghezala International journal of imaging systems and technology 32 (1), 55-73, 2022 | 51 | 2022 |
| A federated learning framework for cyberattack detection in vehicular sensor networks M Driss, I Almomani, Z e Huma, J Ahmad Complex & Intelligent Systems 8 (5), 4221-4235, 2022 | 43 | 2022 |
| Servicing your requirements: An fca and rca-driven approach for semantic web services composition M Driss, A Aljehani, W Boulila, H Ghandorh, M Al-Sarem IEEE Access 8, 59326-59339, 2020 | 41 | 2020 |
| A requirement-centric approach to web service modeling, discovery, and selection M Driss, N Moha, Y Jamoussi, JM Jézéquel, HH Ben Ghézala Service-Oriented Computing: 8th International Conference, ICSOC 2010, San …, 2010 | 41 | 2010 |
| A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks SB Atitallah, M Driss, I Almomani Sensors 22 (11), 4302, 2022 | 36 | 2022 |
| Future forecasting of COVID-19: a supervised learning approach MU Rehman, A Shafique, S Khalid, M Driss, S Rubaiee Sensors 21 (10), 3322, 2021 | 30 | 2021 |
Yassine JamoussiFaculty member at SQU在 ensi.rnu.tn 的电子邮件经过验证
