Various Artificial Intelligence (AI) techniques in water resource management highlight the
current methodologies' strengths and limitations in forecasting, optimization, and control. We …

Streamflow forecasting is crucial for effective water resource planning and early warning
systems, especially in regions with complex hydrological behaviors and uncertainties. While …

Measurement inaccuracies and the absence of precise parameters value in conceptual and
analytical models pose challenges in simulating the rainfall–runoff modeling (RRM) …

This study addresses the issue of soil cadmium pollution and the common problem of data
missing during the training of artificial neural network models. A substantial amount of …

In recent times, the densely populated Bengaluru metropolis in India has faced challenges
related to water scarcity, particularly relying on the Krishna Raja Sagara (KRS) dam. The …

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 …

This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on
the relationship between key socioeconomic factors and the Gender Inequality Index (GII) …

Rice is a crucial crop in Sri Lanka, influencing both its agricultural and economic
landscapes. This study delves into the complex interplay between economic indicators and …

Estimating peak discharge (Q p) and design flood in small tributary sub-basins is
challenging owing to limited observed streamflow data. To address this, the synthetic unit …

Abstract Human-Inspired Control (HIC) holds promise for endowing machines with human-
like cognition, decision-making, and adaptability. In this study, we employ a fusion of …