Species distribution modelling studies the relationship between species occurrence records
and their environmental setting, providing a valuable approach to predicting species …

The growing demand and exigency for groundwater resources warrant the demarcation of
groundwater spring potential zones (GSPZ) for effective sustainable strategy in groundwater …

Tidally controlled river plumes form distinct frontal boundaries that can alter the spatial
distributions of larval fishes and their planktonic prey and predators. Variable in nature, they …

Vehicular traffic noise is an important aspect that requires environmental impact assessment
(EIA) due to the increase in vehicular traffic. This has called for the need for detailed …

Conservation of mobile organisms is difficult in the absence of detailed information about
movement and habitat use. While the miniaturization of tracking devices has eased the …

Abstract Higher-Level Gait Disorder (HLGD) is a type of gait disorder estimated to affect up
to 6% of the older population. By definition, its symptoms originate from the higher-level …

Effective habitat management for rare and endangered species requires a thorough
understanding of their specific habitat requirements. Although machine learning models …

The increased variety of satellite remote sensing platforms creates opportunities for
estimating tropical forest diversity needed for environmental decision-making. As little as …

The present study presents an investigation into the utilization of artificial neural networks
(ANN) and multiple linear regression model (MLR) for the prediction of traffic noise levels in …

There is considerable interest in using seabirds to identify ecologically important marine
areas (Hooker and Gerber, 2004; Lascelles et al., 2016; Krüger et al., 2017; Hindell et al …