Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
SportsLine's self-learning AI reveals NFL player props and its SGP picks for Chargers vs. Patriots on 'Sunday Night Football' ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
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