A blockchain‐and artificial intelligence‐enabled smart IoT framework for sustainable city

I Ahmed, Y Zhang, G Jeon, W Lin… - … Journal of Intelligent …, 2022 - Wiley Online Library
Advancements in digital technologies, such as the Internet of Things (IoT), fog/edge/cloud
computing, and cyber‐physical systems have revolutionized a broad spectrum of smart city …

[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization

Y Himeur, S Al-Maadeed, H Kheddar… - … Applications of Artificial …, 2023 - Elsevier
Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

[HTML][HTML] 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, 2023 - Springer
Advancement of smart medical sensors, devices, cloud computing, and health care
technologies is getting remarkable attention from academia and the health care industry. As …

[HTML][HTML] Enabling artificial intelligence for genome sequence analysis of COVID-19 and alike viruses

I Ahmed, G Jeon - Interdisciplinary sciences: computational life sciences, 2022 - Springer
Recent pandemic of COVID-19 (Coronavirus) caused by severe acute respiratory syndrome
Coronavirus 2 (SARS-CoV-2) has been growing lethally with unusual speed. It has infected …

A real-time person tracking system based on SiamMask network for intelligent video surveillance

I Ahmed, G Jeon - Journal of Real-Time Image Processing, 2021 - Springer
Real-time video surveillance systems are widely deployed in various environments,
including public areas, commercial buildings, and public infrastructures. Person detection is …

IoT-based crowd monitoring system: Using SSD with transfer learning

I Ahmed, M Ahmad, A Ahmad, G Jeon - Computers & Electrical Engineering, 2021 - Elsevier
The constantly developing urbanization and the emergence of smart cities require better
security surveillance and crowd monitoring systems. The growing availability of the Internet …

Human intrusion detection in static hazardous areas at construction sites: Deep learning–based method

X Mei, X Zhou, F Xu, Z Zhang - Journal of Construction Engineering …, 2023 - ascelibrary.org
Construction sites have complex environments and high accident rates. Human intrusion
into static hazardous areas is a significant cause of accidents. Traditional engineering safety …

[HTML][HTML] Multiple object tracking of drone videos by a temporal-association network with separated-tasks structure

Y Lin, M Wang, W Chen, W Gao, L Li, Y Liu - Remote Sensing, 2022 - mdpi.com
The task of multi-object tracking via deep learning methods for UAV videos has become an
important research direction. However, with some current multiple object tracking methods …

Deep Learning‐Based Solutions for 5G Network and 5G‐Enabled Internet of Vehicles: Advances, Meta‐Data Analysis, and Future Direction

MS Almutairi - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …

A smart IoT enabled end-to-end 3D object detection system for autonomous vehicles

I Ahmed, G Jeon, A Chehri - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Integration of advanced signal processing, image processing, deep learning, edge
computing, and the Internet of Things (IoT) into vehicles allows intelligent automated …