Power electronic converter (PEC)-interfaced renewable energy generators (REGs) are
increasingly being integrated to the power grid. With the high renewable power penetration …

The aim of this paper is to collect in one place the basic background needed to understand
the discriminant analysis (DA) classifier to make the reader of all levels be able to get a …

Soil organic carbon (SOC) is a key indicator of ecosystem health, with a great potential to
affect climate change. This study aimed to develop, evaluate, and compare the performance …

The paper focuses on the task of predicting future values of stock market index. Two indices
namely CNX Nifty and S&P Bombay Stock Exchange (BSE) Sensex from Indian stock …

This research aims to identify the factors for implementing Green Human Resource
Management practices that will enhance the corporate social performance in the banking …

During the last few years, important advances have been made in big data exploration,
complex pattern recognition and prediction of complex variables. Machine learning (ML) …

Fault detection prior to their occurrence or complete shut-down in induction motor is
essential for the industries. The fault detection based on condition monitoring techniques …

Forecasts of maximum and minimum air temperatures are essential to mitigate the damage
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …

Human activity recognition using either wearable devices or smartphones can benefit
various applications including healthcare, fitness, smart home, etc. Instead of using …

Traditional methods for flow cytometry (FCM) data processing rely on subjective manual
gating. Recently, several groups have developed computational methods for identifying cell …