Curse of dimensionality is known as big challenges in data mining, pattern recognition,
computer vison and machine learning in recent years. Feature selection and feature …

Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …

Suicide is a major public-health problem that exists in virtually every part of the world.
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …

Gene expression data have become increasingly important in machine learning and
computational biology over the past few years. In the field of gene expression analysis …

Link prediction is one of the most widely studied problems in the area of complex network
analysis, in which machine learning techniques can be applied to deal with it. The biggest …

One of the most critical challenges in managing complex diseases like COVID-19 is to
establish an intelligent triage system that can optimize the clinical decision-making at the …

With rapid rise of advancement in soft computing models, application of Machine Learning
(ML) techniques has increasingly grown to successfully evaluate thermal characterizations …

Subspace distance is an invaluable tool exploited in a wide range of feature selection
methods. The power of subspace distance is that it can identify a representative subspace …

Traditional methodologies of flood monitoring are generally time-consuming and demanding
tasks. In most cases, there is no possibility of flood monitoring in large areas. Due to the …

Accurate diagnosis of brain stroke, classification and segmentation of the stroke are
extremely important for physicians to focus on specific points of the brain and apply the right …