The United Nations' Sustainable Development Goals (SDGs) set out to improve the quality of
life of people in developed, emerging, and developing countries by covering social and …

This paper presents a novel framework, artificial intelligence-enabled intelligent assistant
(AIIA), for personalized and adaptive learning in higher education. The AIIA system …

The height above nearest drainage (HAND) model is frequently used to calculate properties
of the soil and predict flood inundation extents. HAND is extremely useful due to its lack of …

It is critical to obtain accurate flood extent predictions in a timely manner in order to reduce
flood-related casualties and economic losses from floods with greater magnitudes and fall …

The exponential growth in data generated by satellites, radars, sensors, and analysis and
reanalysis from model outputs for the hydrological domain requires efficient real-time data …

This paper introduces HydroLang, an open-source and integrated community-driven
computational web framework for hydrology and water resources research and education …

Abstract The INOWAS Decision Support System (DSS) is an open-source web-service for
groundwater management applications, in particular managed aquifer recharge. It is …

Abstract We introduce HydroLang Markup Language (HL-ML), a programming interface that
uses a markup language to perform environmental analyses using the hydrological and …

Given the growing climate variability, quantifying droughts has gained significant
importance, particularly in agriculturally concentrated areas such as Iowa. This study …

This research study delves into the conceptualization, development, and deployment of an
innovative learning analytics tool, leveraging the capabilities of OpenAI's GPT-4 model. This …