Abstract: Polarimetric Synthetic Aperture Radar (PolSAR) holds significant potential for post-disaster building damage assessment. However, conventional methods often rely on simple change indices ...
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Abstract: Graph Convolutional Network (GCN) has drawn considerable research attention in recent times. Many different problems from diverse domains can be solved efficiently using GCN. Community ...
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