A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Research finds fine-tuning the MLP of some AI models lessens catastrophic forgetting during the fine-tuning process.

Hurricane prediction still poses challenges for researchers, who scramble to produce accurate predictions of the formation, track, and intensity of tropical cyclones in order to give residents in the ...

Scientists in Japan have used a deep reinforcement learning–based AI model to calculate discrepancies between the planned and actual electricity supply volumes in PV-battery systems operating in ...

Clinical and pathological variables were collected in 431 patients, including tumor size, patient demographics, histological characteristics, molecular status, and staging information. A standard ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, addressing complex material behaviors.