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DL-CRC: Deep learning-based chest radiograph classification for covid-19 detection: A novel approach
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition to virus and antibody testing modalities. Because radiographs such ...
Blockchain for decentralized multi-drone to combat COVID-19 and future pandemics: Framework and proposed solutions
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John Wiley and Sons Inc
, 2021 , Article)
Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in the quarantine areas experiencing an epidemic ...
AI-based UAV navigation framework with digital twin technology for mobile target visitation
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Elsevier
, 2023 , Article)
Unmanned Air Vehicles (UAVs), i.e. drones, have become a key enabler technology of many reconnaissance applications in different fields, such as military, maritime, and transportation. UAVs offer several benefits, such as ...
Video transcoding at the edge: cost and feasibility perspective
(
Springer Nature
, 2023 , Article)
The developments in smartphones, high data rates, and substantial video data traffic have increased the burden on cellular networks. Consequently, this burden significantly affects the Quality of Experience of the cellular ...
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
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Elsevier
, 2022 , Article)
Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...
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 ...
Optimal Resource Management for Hierarchical Federated Learning over HetNets with Wireless Energy Transfer
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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 ...
AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges
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Springer
, 2021 , Article)
The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many parts of the world. Healthcare professionals are not only over-burdened but also at a high risk of nosocomial transmission from COVID-19 ...
COVID-19 Optimizer Algorithm, Modeling and Controlling of Coronavirus Distribution Process
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The emergence of novel COVID-19 is causing an overload on public health sector and a high fatality rate. The key priority is to contain the epidemic and reduce the infection rate. It is imperative to stress on ensuring ...
Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
With the exponential growth in IoT devices, especially in healthcare systems, where multiple devices are attributed to one person, the need for a secure and effective group secret key (GSK) generation is intrinsic. GSKs ...