BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...

Researchers have developed an optical computing system that performs feature extraction for quantitative trading with ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Optical computing, which uses light rather than electricity to process information, offers a promising route to overcome the ...

Abstract: In this paper Electromagnetic Compatibility (EMC) data is discussed and its effects on training a machine learning model. EMC data is inherently complex due to factors such as noise, high ...

Background Tobacco use among United States (US) youth and young adults has declined from historic levels, but cannabis use ...

Search.co, a leading provider of enterprise data intelligence and automation solutions, today announced a major expansion of its AI-driven platform. The new ...

Abstract: In this paper, the effects of data representations and preprocessing on machine learningbased S-parameter modeling of high-speed channels are investigated. Using a transformer network as a ...

I have a high conviction that pre-shutdown macro supports staying long in US equities. August PCE rose 0.3% m/m (2.7% y/y) with spending up 0.6%, so growth held while inflation stayed contained. Q2 ...