Parkinson's disease (PD) has affected millions of people worldwide and is more prevalent in
people, over the age of 50. Even today, with many technologies and advancements, early …

Diabetes mellitus (DM) is a combination of metabolic disorders characterized by elevated
blood glucose levels over a prolonged duration. Undiagnosed DM can give rise to a host of …

Abstract A Computer-Aided Diagnostic (CAD) system that uses Artificial Neural Network
(ANN) trained by drawing in the relative advantages of Differential Evolution (DE), Particle …

Co-operative co-evolution approach solves problems by breaking them into subproblems.
The proposed framework for Clinical Decision Support System (CDSS) uses a co-operative …

Composite plate structures are prone to damages caused by low-velocity impacts. To locate
these impacts, many impact localization methods using fiber Bragg grating (FBG) sensors …

Several identification approaches have recently been employed in human identification
systems for forensic purposes to decrease human efforts and to boost the accuracy of …

In recent years, the use of data mining techniques has gained significance in healthcare
applications. The appropriate data mining techniques extract interesting …

Classification is a data mining task, which plays a vital role in clinical diagnosis. Irrelevant
features will reduce the classifier accuracy. Only a subset of features in a clinical dataset …

A novel adaptive sliding mode controller using neuro-fuzzy network based on adaptive
cooperative particle sub-swarm optimization (ACPSSO) is presented in this article for …

In this paper, a new approach for mining image association rules is presented, which
involves the fine-tuned CNN model, as well as the proposed FIAR and OFIAR algorithms …