| 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 | 189 | 2020 |
| 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 | 28 | 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 | 28 | 2022 |
| 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 | 20 | 2022 |
| Req-WSComposer: a novel platform for requirements-driven composition of semantic web services M Driss, S Ben Atitallah, A Albalawi, W Boulila Journal of Ambient Intelligence and Humanized Computing, 1-17, 2022 | 20 | 2022 |
| Smartwater: A service-oriented and sensor cloud-based framework for smart monitoring of water environments H Mezni, M Driss, W Boulila, SB Atitallah, M Sellami, N Alharbi Remote Sensing 14 (4), 922, 2022 | 16 | 2022 |
| Microservices for Data Analytics in IoT Applications: Current Solutions, Open Challenges, and Future Research Directions SB Atitallah, M Driss, HB Ghzela Procedia Computer Science 207, 3938-3947, 2022 | 8 | 2022 |
| An enhanced randomly initialized convolutional neural network for columnar cactus recognition in unmanned aerial vehicle imagery SB Atitallah, M Driss, W Boulila, A Koubaa, N Atitallah, HB Ghézala Procedia Computer Science 192, 573-581, 2021 | 7 | 2021 |
| An effective detection and classification approach for dos attacks in wireless sensor networks using deep transfer learning models and majority voting S Ben Atitallah, M Driss, W Boulila, I Almomani International Conference on Computational Collective Intelligence, 180-192, 2022 | 3 | 2022 |
| An Evidence Theory Based Embedding Model for the Management of Smart Water Environments M Driss, W Boulila, H Mezni, M Sellami, S Ben Atitallah, N Alharbi Sensors 23 (10), 4672, 2023 | 1 | 2023 |
| FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics SB Atitallah, M Driss, HB Ghezala Internet of Things 23, 100845, 2023 | | 2023 |
| Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning SB Atitallah, M Driss, HB Ghezala arXiv preprint arXiv:2308.14017, 2023 | | 2023 |
| Intelligent Microservices-based Approach to Support Data Analytics for IoT Applications SB Atitallah University of Manouba, 2023 | | 2023 |
| Internet-of-Things Track Committee H Mezni, M Driss, M Awais, R Bouaziz, M Kezadri, L Berriche, A Gharbi, ... | | |
Maha DrissAssistant Professor & Senior Researcher in Computer Science - Prince Sultan University在 psu.edu.sa 的电子邮件经过验证
