Enabling massive IoT toward 6G: A comprehensive survey
Nowadays, many disruptive Internet-of-Things (IoT) applications emerge, such as
augmented/virtual reality online games, autonomous driving, and smart everything, which …
augmented/virtual reality online games, autonomous driving, and smart everything, which …
Machine learning for wireless sensor networks security: An overview of challenges and issues
R Ahmad, R Wazirali, T Abu-Ain - Sensors, 2022 - mdpi.com
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
oppositely. As security complexity increases, battery drain will increase. Due to the limited …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble
M Turkoglu - Applied Intelligence, 2021 - Springer
The recent novel coronavirus (also known as COVID-19) has rapidly spread worldwide,
causing an infectious respiratory disease that has killed hundreds of thousands and infected …
causing an infectious respiratory disease that has killed hundreds of thousands and infected …
Sensor-fault detection, isolation and accommodation for digital twins via modular data-driven architecture
H Darvishi, D Ciuonzo, ER Eide… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time
raw data into digital twins. However, sensors might be unreliable due to inherent issues …
raw data into digital twins. However, sensors might be unreliable due to inherent issues …
Machine learning in wireless sensor networks for smart cities: a survey
Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …
Fault diagnosis based on extremely randomized trees in wireless sensor networks
Abstract Wireless Sensor Network (WSN) being highly diversified cyber–physical system
makes it vulnerable to numerous failures, which can cause devastation towards safety …
makes it vulnerable to numerous failures, which can cause devastation towards safety …
A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications
The advancement of the Internet of Things (IoT) technologies will play a significant role in
the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one …
the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one …
A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …
services to the users with the help of innovative network and device technologies. In recent …
A distributed sensor-fault detection and diagnosis framework using machine learning
SU Jan, YD Lee, IS Koo - Information Sciences, 2021 - Elsevier
The objective of this work is to design a sensor-fault detection and diagnosis system for the
Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this …
Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this …