Image-based crack detection methods: A review
Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
Machine learning for coverage optimization in wireless sensor networks: a comprehensive review
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …
based solutions and systems is on the ascent. These technologies offer significant potential …
[HTML][HTML] An artificial intelligence model for heart disease detection using machine learning algorithms
The paper focuses on the construction of an artificial intelligence-based heart disease
detection system using machine learning algorithms. We show how machine learning can …
detection system using machine learning algorithms. We show how machine learning can …
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 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 …
Threat analysis and distributed denial of service (DDoS) attack recognition in the internet of things (IoT)
The Internet of Things (IoT) plays a crucial role in various sectors such as automobiles and
the logistic tracking medical field because it consists of distributed nodes, servers, and …
the logistic tracking medical field because it consists of distributed nodes, servers, and …
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 …
Series DC arc fault detection based on ensemble machine learning
Series dc arc fault creates a fire hazard and negative impacts on the distribution bus if not
detected and isolated quickly. However, the detection of a series arc fault is challenging due …
detected and isolated quickly. However, the detection of a series arc fault is challenging due …
Prediction on the fluoride contamination in groundwater at the Datong Basin, Northern China: Comparison of random forest, logistic regression and artificial neural …
MB Nafouanti, J Li, NA Mustapha, P Uwamungu… - Applied …, 2021 - Elsevier
Groundwater fluoride is posing a health risk to humans, and analyzing groundwater quality
is time-wasting and expensive. Statistical methods provide a valuable approach to study the …
is time-wasting and expensive. Statistical methods provide a valuable approach to study the …
Active learning for network traffic classification: a technical study
Network Traffic Classification (NTC) has become an important feature in various network
management operations, eg, Quality of Service (QoS) provisioning and security services …
management operations, eg, Quality of Service (QoS) provisioning and security services …