From artificial intelligence to explainable artificial intelligence in industry 4.0: a survey on what, how, and where I Ahmed, G Jeon, F Piccialli IEEE Transactions on Industrial Informatics 18 (8), 5031-5042, 2022 | 643 | 2022 |
A deep learning-based social distance monitoring framework for COVID-19 I Ahmed, M Ahmad, JJPC Rodrigues, G Jeon, S Din Sustainable cities and society 65, 102571, 2021 | 294 | 2021 |
Secure and energy-efficient framework using Internet of Medical Things for e-healthcare T Saba, K Haseeb, I Ahmed, A Rehman Journal of Infection and Public Health 13 (10), 1567-1575, 2020 | 198 | 2020 |
A blockchain‐and artificial intelligence‐enabled smart IoT framework for sustainable city I Ahmed, Y Zhang, G Jeon, W Lin, MR Khosravi, L Qi International Journal of Intelligent Systems 37 (9), 6493-6507, 2022 | 155 | 2022 |
A framework for pandemic prediction using big data analytics I Ahmed, M Ahmad, G Jeon, F Piccialli Big Data Research 25, 100190, 2021 | 137 | 2021 |
A deep-learning-based smart healthcare system for patient’s discomfort detection at the edge of internet of things I Ahmed, G Jeon, F Piccialli IEEE Internet of Things Journal 8 (13), 10318-10326, 2021 | 111 | 2021 |
An IoT-based deep learning framework for early assessment of COVID-19 I Ahmed, A Ahmad, G Jeon IEEE Internet of Things Journal 8 (21), 15855-15862, 2020 | 104 | 2020 |
Energy-efficient harvested-aware clustering and cooperative routing protocol for WBAN (E-HARP) Z Ullah, I Ahmed, FA Khan, M Asif, M Nawaz, T Ali, M Khalid, F Niaz IEEE Access 7, 100036-100050, 2019 | 99 | 2019 |
A robust features-based person tracker for overhead views in industrial environment I Ahmed, A Ahmad, F Piccialli, AK Sangaiah, G Jeon IEEE Internet of Things Journal 5 (3), 1598-1605, 2017 | 95 | 2017 |
Social distance monitoring framework using deep learning architecture to control infection transmission of COVID-19 pandemic I Ahmed, M Ahmad, G Jeon Sustainable cities and society 69, 102777, 2021 | 83 | 2021 |
Towards collaborative robotics in top view surveillance: A framework for multiple object tracking by detection using deep learning I Ahmed, S Din, G Jeon, F Piccialli, G Fortino IEEE/CAA Journal of Automatica Sinica 8 (7), 1253-1270, 2021 | 79 | 2021 |
Comparison of deep-learning-based segmentation models: Using top view person images I Ahmed, M Ahmad, FA Khan, M Asif IEEE Access 8, 136361-136373, 2020 | 79 | 2020 |
Robust and efficient energy harvested-aware routing protocol with clustering approach in body area networks Z Ullah, I Ahmed, T Ali, N Ahmad, F Niaz, Y Cao IEEE Access 7, 33906-33921, 2019 | 79 | 2019 |
DSCB: Dual sink approach using clustering in body area network Z Ullah, I Ahmed, K Razzaq, MK Naseer, N Ahmed Peer-to-Peer Networking and Applications 12, 357-370, 2019 | 78 | 2019 |
Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things K Haseeb, IU Din, A Almogren, I Ahmed, M Guizani Sustainable Cities and Society 68, 102779, 2021 | 71 | 2021 |
Exploring deep learning models for overhead view multiple object detection I Ahmed, S Din, G Jeon, F Piccialli IEEE Internet of Things Journal 7 (7), 5737-5744, 2019 | 68 | 2019 |
Top view multiple people tracking by detection using deep SORT and YOLOv3 with transfer learning: within 5G infrastructure I Ahmed, M Ahmad, A Ahmad, G Jeon International Journal of Machine Learning and Cybernetics 12, 3053-3067, 2021 | 64 | 2021 |
Adapting Gaussian YOLOv3 with transfer learning for overhead view human detection in smart cities and societies I Ahmed, G Jeon, A Chehri, MM Hassan Sustainable Cities and Society 70, 102908, 2021 | 54 | 2021 |
Enabling artificial intelligence for genome sequence analysis of COVID-19 and alike viruses I Ahmed, G Jeon Interdisciplinary sciences: computational life sciences 14 (2), 504-519, 2022 | 51 | 2022 |
Deep learning-based intrusion detection system for internet of vehicles I Ahmed, G Jeon, A Ahmad IEEE Consumer Electronics Magazine 12 (1), 117-123, 2021 | 47 | 2021 |