Machine learning for wireless sensor networks security: An overview of challenges and issues
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 …
[HTML][HTML] 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 …
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 …
Brain tumor categorization from imbalanced MRI dataset using weighted loss and deep feature fusion
Deep learning-based brain tumor classification from brain magnetic resonance imaging
(MRI) is a significant research problem. The research problem encounters a major …
(MRI) is a significant research problem. The research problem encounters a major …
Fault tolerance structures in wireless sensor networks (WSNs): Survey, classification, and future directions
The Industrial Revolution 4.0 (IR 4.0) has drastically impacted how the world operates. The
Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks …
Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks …
[PDF][PDF] Implementation of fault detection framework for healthcare monitoring system using IoT, sensors in wireless environment
DKP Pardeshi - Telematique, 2022 - researchgate.net
Recent technological development has paved the path for various industries to explore and
utilize Internet of Things (IoT) and Wireless sensor networks in their respective fields. One …
utilize Internet of Things (IoT) and Wireless sensor networks in their respective fields. One …
Machine learning for IoT systems
A Khattab, N Youssry - Internet of Things (IoT) Concepts and Applications, 2020 - Springer
The rapid increase in the number of smart devices hosting sophisticated applications is
significantly affecting the landscape of the information com-munication technology industry …
significantly affecting the landscape of the information com-munication technology industry …
Sensors faults classification and faulty signals reconstruction using deep learning
Sensor fault classification and reconstruction frameworks are crucial for the stable, safe, and
reliable operations of Structural Health Monitoring (SHM) systems. Existing literature …
reliable operations of Structural Health Monitoring (SHM) systems. Existing literature …
Integrated Edge Deployable Fault Diagnostic Algorithm for the Internet of Things (IoT): A Methane Sensing Application
The Internet of Things (IoT) is seen as the most viable solution for real-time monitoring
applications. But the faults occurring at the perception layer are prone to misleading the data …
applications. But the faults occurring at the perception layer are prone to misleading the data …
Prognostic health management of pumps using artificial intelligence in the oil and gas sector: a review
A system's operational life cycle now includes an integrated health management and
diagnostic strategy due to improvements in the current technology. It is evident that the life …
diagnostic strategy due to improvements in the current technology. It is evident that the life …