Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …

Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most
common neurodegenerative disorders due to the loss of dopamine-producing brain cells …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

In this study, an intelligent diagnosis system for diabetes on Linear Discriminant Analysis
(LDA) and Adaptive Network Based Fuzzy Inference System (ANFIS): LDA-ANFIS is …

Background modeling is often used to detect moving object in video acquired by a fixed
camera. Recently, subspace learning methods have been used to model the background in …

In this study, a method based on Principle Component Analysis and Least Square Support
Vector Machine Classifier for Expert Hepatitis Diagnosis System (PCA–LSSVM) is …

In this paper, an automatic diagnosis system based on Linear Discriminant Analysis (LDA)
and Adaptive Network based on Fuzzy Inference System (ANFIS) for hepatitis diseases is …

Coronary heart disease is a great concern in the field of healthcare, and one of the main
causes of death across the world. In the USA, as in Europe, it is responsible for the highest …

Background subtraction is one of the basic low-level operations in video analysis. The aim is
to separate static information called “background” from the moving objects called …

Subspace learning is the process of finding a proper feature subspace and then projecting
high-dimensional data onto the learned low-dimensional subspace. The projection …