Abstract The traditional Gradient Descent Back-propagation Neural Network Algorithm is
widely used in solving many practical applications around the globe. Despite providing …

ABSTRACT The traditional Back-propagation Neural Network (BPNN) Algorithm is widely
used in solving many real time problems in world. But BPNN possesses a problem of slow …

Step error calculation of numerical control (NC) machining tool path is a premise for
generating high-quality tool path and promoting its application. At present, iterative methods …

Despite being widely used in the practical problems around the world, Gradient Descent
Back-propagation algorithm comes with problems like slow convergence and convergence …

Aims: Noise induced hearing loss (NIHL) is among the principal occupational health hazard.
To illustrate that, in order to enrich the database on audiometric status and fast …

Noise-Induced Hearing Loss (NIHL) has become a major health threat to the Malaysian
industrial workers in the recent era due to exposure to high frequency noise produced by the …

Abstract Analysis of time series information is very interesting as it can be used to
understand the past and to forecast the future. Mainly, the data models of the time series are …

Accepted: 18 July 2021 This research paper deals with the problem of Metal-Oxide Surge
Arrester (MOSA) condition monitoring and a new methodology in surge arrester monitoring …

DNA sequence classification is one of the main research activities in bioinformatics on
which, many researchers have worked and are working on it. In bioinformatics, machine …

Stochastic resonance (SR) is a nonlinear phenomenon by which the introduction of noise in
a system causes a counterintuitive increase in levels of detection performance of a signal …