In the last decade, auxiliary information has been widely used to address data sparsity. Due to the advantages of feature extraction and the no-label requirement, autoencoder-based methods addressing ...
Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...
Tech Xplore on MSN
Software tool shows clear advantage in water purity prediction
A powerful new software tool that can accurately predict the performance of biofilters used by the water industry could ...
A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ...
Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
Read more about AI breakthroughs transform medical imaging, paving way for earlier diagnosis and better care on Devdiscourse ...
Tech Xplore on MSN
AI-based patent abstract generator can discover and detail technology opportunities
Patents are valuable for the generation of novel ideas through technological discovery. In recent years, scientists have made ...
In the new wave of digital transformation, Guangxi Power Grid Co., Ltd. has recently applied for a patent titled "An Intelligent Generation Method and System for API Data Stream Security Labels," with ...
Changan Automobile Applies for Driving Style Recognition Patent, Leading a New Trend in Intelligent Driving ...
Chiranjeevi Devi's research focuses on building reliable data systems through anomaly detection, DevSecOps automation, and policy-as-code for compliance.
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