Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...
Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
Objective: This study aimed to develop and validate a risk prediction model of 3-month mortality using machine learning (ML) in a large multicenter cohort of patients with anti-MDA5+DM-ILD in China.
Abstract: Objective: Since computer-aided diagnosis (CAD) schemes of medical images usually computes large number of image features, which creates a challenge of how to identify a small and optimal ...
LogAI is a one-stop open source library for log analytics and intelligence. LogAI supports various log analytics and log intelligence tasks such as log summarization, log clustering, log anomaly ...
Abstract: An intrusion detection system (IDS) is an important protection instrument for detecting complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms have been ...
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