Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
Abstract: The seismic data are usually limited by the frequency bandwidth and lack significant high-frequency components due to attenuation in the subsurface medium and frequency filtering effects ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
The company's hybrid framework is designed to bridge the gap between traditional and self-publishing, providing professional-grade production, global distribution, and marketing support while ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
CustomLLM is a fully private, on-premise Document Intelligence platform. Ask questions, summarise, and uncover insights from your files with state-of-the-art AI—no data ever leaves your machine. The ...
Jiangsu Key Laboratory of Pesticide Science, College of Sciences, Nanjing Agricultural University, Nanjing 210095, China ...
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