However, landslide hazard, risk assessment, and early warning systems remain constrained by fragmented, inconsistent, and incomplete data. This study addresses the global data gap by proposing a ...
Abstract: This research focuses on adapting the Felder-Silverman Learning Style Model (FSLSM) questionnaire according to a specific computing course. In this approach, we transform FSLSM questions ...
Abstract: Causal Question Answering (CQA) is essential for knowledge discovery, focusing on the intricate dynamics between events and entities without predefined contexts. Despite advancements of CQA ...
We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...
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