The increasing frequency and severity of drought events worldwide demand innovative approaches that can effectively characterize, track, predict, and assess impacts of the complex spatiotemporal dynamics of water scarcity. This

Autonomous vehicles (AVs) rely on deep neural networks (DNNs) for critical tasks such as environment perception—identifying traffic signs, pedestrians, and lane markings—and executing control decisions like braking, acceleration, and lane