Abstract: Radar is an emerging and attractive sensing modality for automotive applications due to its relatively low cost, robustness in the face of inclement weather, and ability to detect both ...
ABSTRACT DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm designed to identify clusters of various shapes and sizes in noisy datasets by ...
This repository provides a methodology to identify multi-hazard footprints by combining climate thresholds, DBSCAN clustering, and spatiotemporal overlap analysis. The workflow consists of three steps ...
Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges owing to climate change, urbanization, improper ...
Abstract: Maintaining machinery wells, key to groundwater sustainability, is vital for managing these precious resources. In keeping with the need for effective groundwater management, this study ...
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