In the realm of multi-class classification, the twin K-class support vector classification (Twin-
KSVC) generates ternary outputs {− 1, 0,+ 1} by evaluating all training data in a “1-versus-1 …

Cancer develops when few cells in the body develop abnormally propagate across different
regions within the body. Cancer in breast occurs because certain cells in the breast expand …

Underwater glider is one of the most promising ocean observation platforms and plays an
important role in ocean observation and exploration because of its low energy consumption …

The process of enhanced oil recovery (EOR) and core flooding involves various challenges
such as preserving cores, configuring experiment setup, scaling from the laboratory to the …

Unsupervised feature selection, aiming at finding a refined representation of the original
data by filtering out irrelevant and redundant features, has attracted intensive attention. Due …

Thyroid cancer incidences endure to increase even though a large number of inspection
tools have been developed recently. Since there is no standard and certain procedure to …

In this paper, the problem of expressing and fusion processing of multi-channel uncertain
digital information based on the method of constructing high-dimensional fuzzy numbers is …

Proliferation of technology, coupled with networking growth, has catapulted cybersecurity to
the forefront of modern security concerns. In this landscape, the precise detection of …

Support Vector Machine (SVM) modelling approach focuses on dimensional reduction with
a powerful generalization capability to solve problems such as non-linearity, and local …

A method for online fault detection and diagnosis of electromagnetic scanning micromirrors
used in laser scanners has been proposed. In this method, a state space model with …