Imran Ahmed
Imran Ahmed
Anglia Ruskin University
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Convolutional neural network–based person tracking using overhead views
M Ahmad, I Ahmed, FA Khan, F Qayum, H Aljuaid
International Journal of Distributed Sensor Networks 16 (6), 1550147720934738, 2020
A robust algorithm for detecting people in overhead views
I Ahmed, A Adnan
Cluster computing 21, 633-654, 2018
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
Edge computing-based person detection system for top view surveillance: Using CenterNet with transfer learning
I Ahmed, M Ahmad, JJPC Rodrigues, G Jeon
Applied Soft Computing 107, 107489, 2021
An IoT-enabled smart health care system for screening of COVID-19 with multi layers features fusion and selection
I Ahmed, G Jeon, A Chehri
Computing 105 (4), 743-760, 2023
Overhead view person detection using YOLO
M Ahmad, I Ahmed, A Adnan
2019 IEEE 10th annual ubiquitous computing, electronics & mobile …, 2019
The system can't perform the operation now. Try again later.
Articles 1–20