| Federated learning for resource-constrained iot devices: Panoramas and state of the art A Imteaj, K Mamun Ahmed, U Thakker, S Wang, J Li, MH Amini Federated and Transfer Learning, 7-27, 2022 | 74 | 2022 |
| Federated deep learning for heterogeneous edge computing KM Ahmed, A Imteaj, MH Amini 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 52 | 2021 |
| Trend analysis of large-scale twitter data based on witnesses during a hazardous event: a case study on California wildfire evacuation SA Morshed, KM Ahmed, K Amine, KA Moinuddin World Journal of Engineering and Technology 9 (2), 229-239, 2021 | 7 | 2021 |
| Deepcovidnet: Deep convolutional neural network for covid-19 detection from chest radiographic images KM Ahmed, T Eslami, F Saeed, MH Amini 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 5 | 2021 |
| A federated learning framework for automated decision making with microscopic traffic simulation KM Ahmed, S Muvdi, J Liu, MH Amini 2022 International Conference on Computer Communications and Networks (ICCCN …, 2022 | 4 | 2022 |
| Towards Real-time House Detection in Aerial Imagery Using Faster Region-based Convolutional Neural Network KM Ahmed, F Ghareh_Mohammadi, M Matus, F Shenavarmasouleh, ... IPSI Transactions on Internet Research 19 (02), 2023 | 3 | 2023 |
| A Comprehensive Review of Artificial Intelligence and Machine Learning Methods for Modern Healthcare Systems KM Ahmed, B Chandra Das, Y Saadati, MH Amini Distributed Machine Learning and Computing: Theory and Applications, 71-110, 2024 | 1 | 2024 |
| Anomalous activity recognition in videos M Amini, ND Rishe, KM Ahmed US Patent 11,875,566, 2024 | | 2024 |