Abstract Machine learning is a dynamic field with wide-ranging applications, including
drought modeling and forecasting. Drought is a complex, devastating natural disaster for …

Despite major improvements in weather and climate modelling and substantial increases in
remotely sensed observations, drought prediction remains a major challenge. After a review …

Droughts are prolonged precipitation-deficient periods, resulting in inadequate water
availability and adverse repercussions to crops, animals and humans. Drought forecasting is …

Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …

Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …

Drought is a natural event that slowly deteriorates water reserves. This study aims to
develop a machine learning–based computational framework for monitoring drought status …

Entrepreneurship has become the choice of many young people today, and many sports
entrepreneurs have joined it. However, the entrepreneurial performance of sports …

Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …

Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …

In view of the uncertain multi-attribute decision-making problems when the state
probabilities and options' attribute values are both three-parameter interval grey number …