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RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning
(2022 , Conference Paper)
The extremely heavy global reliance on IoT devices is causing enormous amounts of data to be gathered and shared in IoT networks. Such data need to efficiently be used in training and deploying of powerful artificially ...
On the Modeling of Reliability in Extreme Edge Computing Systems
(
IEEE
, 2022 , Conference Paper)
Extreme edge computing (EEC) refers to the end-most part of edge computing wherein computational tasks and edge services are deployed only on extreme edge devices (EEDs). EEDs are consumer or user-owned devices that offer ...
Region of Interest Optimization for Delay-sensitive Telemedicine Applications
(
IEEE
, 2022 , Conference Paper)
Telemedicine is a rising technology that is gaining a lot of interest in the recent decades. Several applications of telemedicine are delay-sensitive and need to be operated in real-time. One of which is surgical tele-mentoring ...
Energy-Harvesting Based Jammer Localization: A Battery-Free Approach in Wireless Sensor Networks
(
IEEE
, 2022 , Conference Paper)
Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. Most of these technologies are vulnerable to jamming attacks. Jamming attacks are among the most effective ...
AirEye: UAV-Based Intelligent DRL Mobile Target Visitation
(
IEEE
, 2022 , Conference Paper)
From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ...
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifically, in industrial Internet of Things ...
Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey
(
Elsevier Ltd
, 2022 , Article Review)
Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down the spread of the virus in smart cities. To ensure the respect of SD in public areas, visual SD ...
Optimized Resource and Deep Learning Model Allocation in O-RAN Architecture
(
IEEE Computer Society
, 2023 , Conference Paper)
In the era of 5G and beyond, telecommunication networks tend to move Radio Access Network (RAN) from centralized architecture to a more distributed architecture for greater interoperability and flexibility. Open RAN (O-RAN) ...
Face Mask Detection in Smart Cities Using Deep and Transfer Learning: Lessons Learned from the COVID-19 Pandemic
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does not look to be ending soon for most countries across the world. To slow the spread of the COVID-19 virus, several measures have been ...
Indoor Multi-Lingual Scene Text Database with Different Views
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
This paper introduces a database of multi-script (Arabic and English) for indoor scene text detection, taken from different angle-of-view. This database can be used in a variety of real-world applications, such as image ...