We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...
Abstract: Tabular data, as a fundamental medium for information storage in everyday contexts, is crucial for training various deep learning models. Despite its importance, current research ...
Abstract: The extraction, summarization, and retrieval of knowledge from video content is a significant challenge due to the multimodal, unstructured, and temporally dispersed nature of information ...
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NEW YORK, Dec 29 (Reuters) - U.S. stocks dipped on Monday and gold tumbled from all-time highs at the top of a holiday-shortened week. The three major U.S. stock indexes ended in negative territory, ...
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