To improve the monitoring of the electrical power grid, it is necessary to evaluate the
influence of contamination in relation to leakage current and its progression to a disruptive …

Abstract Once, the entire Terai-Dooars region of Himalayan Foothills was enveloped by the
tropical and subtropical moist deciduous and broadleaf forest. Multiple anthropogenic …

Current machine learning approaches to landslide susceptibility modeling often involve
grading conditioning factors, a method characterized by substantial subjectivity and …

Land-use and land-cover (LULC) changes have become a crucial issue that urgently needs
to be addressed due to global environmental change. Many studies have employed remote …

Forest fires (FF) in tropical seasonal forests impact ecosystem. Addressing FF in tropical
ecosystems has become a priority to mitigate impacts on biodiversity loss and climate …

Random forests are considered one of the best out-of-the-box classification and regression
algorithms due to their high level of predictive performance with relatively little tuning …

With the rapid increase in communication technologies and smart devices, an enormous
surge in data traffic has been observed. A huge amount of data gets generated every …

With time, textual data is proliferating, primarily through the publications of articles. With this
rapid increase in textual data, anonymous content is also increasing. Researchers are …

The unique characteristics of drainage conditions in the Pagla river basin cause flooding
and harm the socioeconomic environment. The main purpose of this study is to investigate …

Under ideal conditions of nitrogen (N), maize (Zea mays L.) can grow to its full potential,
reaching maximum plant height (PH). As a rapid and nondestructive approach, the analysis …