[HTML][HTML] Federated learning for edge computing: A survey
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …
network, allowing edge devices to train simple models that can then be deployed in practice …
The state of ai-empowered backscatter communications: A comprehensive survey
The Internet of Things (IoT) is undergoing significant advancements, driven by the
emergence of backscatter communication (BC) and artificial intelligence (AI). BC is an …
emergence of backscatter communication (BC) and artificial intelligence (AI). BC is an …
A novel hybrid deep learning model for metastatic cancer detection
Cancer has been found as a heterogeneous disease with various subtypes and aims to
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …
Securing industrial internet of things against botnet attacks using hybrid deep learning approach
Industrial Internet of Things (IIoT) formation of a richer ecosystem of intelligent,
interconnected devices while enabling new levels of digital innovation has transformed and …
interconnected devices while enabling new levels of digital innovation has transformed and …
[HTML][HTML] A Novel hybrid artificial bee colony-based deep convolutional neural network to improve the detection performance of backscatter communication systems
Backscatter communication (BC) is a promising technology for low-power and low-data-rate
applications, though the signal detection performance is limited since the backscattered …
applications, though the signal detection performance is limited since the backscattered …
LSTM-based distributed conditional generative adversarial network for data-driven 5G-enabled maritime UAV communications
5G enabled maritime unmanned aerial vehicle (UAV) communication is one of the important
applications of 5G wireless network which requires minimum latency and higher reliability to …
applications of 5G wireless network which requires minimum latency and higher reliability to …
[HTML][HTML] Joint optimization of UAV-IRS placement and resource allocation for wireless powered mobile edge computing networks
The rapid evolution of communication systems towards the next generation has led to an
increased deployment of Internet of Things (IoT) devices for various real-time applications …
increased deployment of Internet of Things (IoT) devices for various real-time applications …
[HTML][HTML] DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs
The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
Computation Offloading in MEC-Enabled IoV Networks: Average Energy Efficiency Analysis and Learning-Based Maximization
TZH Ernest, AS Madhukumar - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
This paper investigates the energy efficiency of computation offloading strategies in multi-
access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks. First …
access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks. First …
[HTML][HTML] Minimizing energy consumption for noma multi-drone communications in automotive-industry 5.0
The forthcoming era of the automotive industry, known as Automotive-Industry 5.0, will
leverage the latest advancements in 6G communications technology to enable reliable …
leverage the latest advancements in 6G communications technology to enable reliable …