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 …

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 …

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

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 …

The whole world is presently under threat from Coronavirus Disease 2019 (COVID-19), a
new disease spread by a virus of the corona family, called a novel coronavirus. To date, the …

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 …

With the advances of technology, many new well logs have been acquired over the past
decade that carries vital information about the reservoir and subsurface layers. Thus …

Abstract Several Artificial Intelligence-based models have been developed for COVID-19
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …

The soft sensing of key performance indicators (KPIs) plays an essential role in the decision-
making of complex industrial processes. Many researchers have developed data-driven soft …

Feature selection (FS) is an important technique in data preprocessing that aims to reduce
the number of features for training while maintaining a high accuracy for classification. In …