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السجلات المعروضة 11 -- 20 من 21
Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Training centralized machine learning (ML) models becomes infeasible in wireless networks due to the increasing number of internet of things (IoT) and mobile devices and the prevalence of the learning algorithms to adapt ...
A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These ...
Security Performance Analysis of a Health System using Hybrid NOMA-OMA based IoT System
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Internet of Things (IoT) systems have been playing a significant role in improving the quality of various applications and services. With the expansion increase of loT devices and users, different Multiple Access (MA) ...
UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The affordability and deployment-flexibility of Unmanned Air Vehicles (UAVs) have ignited the development of many smart applications, including surveillance, disaster management, and smart farming. Drone's energy consumption ...
Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ...
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The recent pandemic along with the rapid increase in the number of patients that require continuous remote monitoring imposes several challenges to support the high quality of services (QoS) in remote health applications. ...
AI-based UAV navigation framework with digital twin technology for mobile target visitation
(
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
(
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 ...