Seasonal rainfall forecasting is important for water resources management, agriculture, and
disaster prevention. Our study aims to provide an automated deep learning method for the …

Enhancing the generalization capability of time-series models for streamflow prediction
using dimensionality reduction (DR) techniques remains a major challenge in water …

Abstract The Narmada River basin, a significant water resource in central India, plays a
crucial role in supporting agricultural, industrial, and domestic water supply. Effective …

Rainfall plays an important role in maintaining the water cycle by replenishing aquifers,
lakes, and rivers, supporting aquatic life, and sustaining terrestrial ecosystems. Accurate …

Rainfall prediction, based on meteorological data and models, forecasts the possible rainfall
conditions for a period in the future. It is one of the important issues in meteorology and …

Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are
revolutionizing hydrology, driving significant advancements in water resource management …

Urban settlement depends on water distribution networks for clean and safe drinking water.
This research incorporates geographic information systems (GIS), remote sensing (RS), and …

Abstract Land Surface Temperature (LST) datasets play a crucial role in understanding the
complex interplay between forest fires, climate variables, and vegetation dynamics. This …

Deteriorating visual range (VR) can cause challenges for the transportation sector, resulting
in economic and life losses. Air pollutants, smoke, fog, and many meteorological parameters …

Urban happiness prediction presents a complex challenge, due to the nonlinear and
multifaceted relationships among socio-economic, environmental, and infrastructural factors …