Abstract: Due to the intensifying impacts of extreme climate changes, drought forecasting (DF), which aims to predict droughts from the historical meteorological data, has become increasingly critical ...
Abstract Impact evaluation has historically been the primary method for assessing agricultural research. However, the practical use of its results remains underexplored in the literature. Addressing ...
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
Objective: Using the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework, this study evaluated the implementation of the virtual COVID-19 HITH service and identified ...