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 …
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 …
[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 …
Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
Billions of gadgets are already online, making the IoT an essential aspect of daily life.
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
However, the interconnected nature of IoT devices also leaves them open to cyber threats …
[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 …
Enhancing NOMA backscatter IoT communications with RIS
MS Van Nguyen, DT Do, A Vahid… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
As potential solutions to empower transmissions among the Internet of Things (IoT) devices,
ambient radio frequency (RF) backscatter technology and reconfigurable intelligent surfaces …
ambient radio frequency (RF) backscatter technology and reconfigurable intelligent surfaces …
Microwave dielectric properties, chemical bonds and infrared reflection spectra of La2Sn2O7 ceramics with pyrochlore structures
L Ma, S Liu, L Jiang, P Zhang, Q Wen, Q Du… - Journal of the European …, 2024 - Elsevier
Abstract The La 2 Sn 2 O 7 ceramic was synthesized using the solid− phase reaction
method. The crystal structure, sintering characteristics, and microwave dielectric properties …
method. The crystal structure, sintering characteristics, and microwave dielectric properties …