Functioning of the Internet is persistently transforming from the Internet of computers (IoC) to
the 'Internet of things (IoT)'. Furthermore, massively interconnected systems, also known as …

Feature selection is a significant task in data mining and machine learning applications
which eliminates irrelevant and redundant features and improves learning performance. In …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Self-labeled techniques are semi-supervised classification methods that address the
shortage of labeled examples via a self-learning process based on supervised models. They …

Both wear-induced bearing failure and misalignment of the powertrain between the rotor
and the electrical generator are common failure modes in wind-turbine motors. In this study …

Cancer classification from microarray gene expression data is one of the important areas of
research in the field of computational biology and bioinformatics. Traditional supervised …

Abstract Background and Objective: Classification of cancer from gene expression data is
one of the major research areas in the field of machine learning and medical science …

Coal structure is a critical parameter in coalbed methane (CBM) development due to its
significant impacts on methane enrichment, fluid flow and hydraulic fracturing. Traditional …

Abstract Pulse Coupled Neural Network (PCNN) has gained widespread attention as a
nonlinear filtering technology in reducing the noise while keeping the details of images well …

Existing a lot of unlabeled data and few labeled data is one of the most common problems in
real datasets. Semi-supervised classification methods can well handle such a problem and …