This paper proposes a novel data-driven technique, namely Online Learning for sensor
Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars …

Image segmentation is one of the pivotal steps in image processing due to its enormous
application potential in medical image analysis, data mining, and pattern recognition. In fact …

In a large-scale industrial system with numerous variables, the relations among variables
are often nonlinear and very complicated, due to material, energy and information flows …

Faults in the power system affect the reliability, safety, and stability. Power-distribution
systems are familiar with the different faults that can damage the overall performance of the …

Purpose Taking into consideration the current human need for agricultural produce such as
rice that requires water for growth, the optimal consumption of this valuable liquid is …

The genesis of the proposed fault isolation approach was the belief that the added value
may be achieved through the synthesis of various approaches. In this paper, we propose a …

The study and development of fault detection and diagnosis (FDD) systems are relevant
tasks for industrial processes. Another prominent field is applying deep learning (DL) …

Machine Learning-based fraud detection systems are more effective at detecting financial
fraud. Credit card fraud detection is one of them. The datasets used in learning by the …

Currently, many applications work with data streams, such as financial market analysis,
detection of attacks on computer network systems, fraud detection, detection and fault …

This paper studies the analysis of aircraft system which has the development for multi-mode
architecture, as well as the application of multi-mode control, multi-mode monitoring and …