Learn how we built a WordPress plugin that uses vectors and LLMs to manage semantic internal linking directly inside the ...
An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
This tool automates the downloading, processing and archiving of dayahead, intraday and continuous trading power market data for all market areas from the EPEX ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Microsoft’s internal big-data infrastructure is one of the largest in the world—with over 300k machines running billions of tasks from over 0.6M daily jobs. Operating this infrastructure is a costly ...
MAPS (Medical Annotation Processing System) is a comprehensive Python-based application designed to parse, analyze, and export medical imaging annotation data from various medical imaging systems and ...
Abstract: This paper addresses key challenges in power dispatch systems related to low bilingual communication efficiency and semantic inconsistency between Chinese and English expressions. A novel ...
Abstract: Action Quality Assessment (AQA) is a challenging task involving analyzing fine-grained technical subactions, aligning high-level visual-semantic representations, and exploring internal ...
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