Abstract: This study presents a field-applicable detection models for host rocks of naturally occurring asbestos (NOA) through hyperspectral imaging and machine learning. We developed detection models ...
Abstract: This study addresses the critical challenge of e-waste management by developing an automated classification system using YOLO-based object detection models. A custom-annotated dataset of ...
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