Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...
BEIJING, Aug. 29, 2023 /PRNewswire/––WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR ...
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 ...
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 ...
A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
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 reduce the challenge of maintaining the purity of tap water.
The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud ...
IEEE Spectrum on MSN
AI Expands the Search for New Battery Materials
Now researchers at the Pacific Northwest National Laboratory plan to synthesize and test the novel material, Na x Li 3−x YCl 6, in a battery setup. It’s one of several AI-generated battery chemistries ...
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