Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

摘要：骨骼残骸的性别估算是法医人类学(Forensic Anthropology)的关键环节，其中颅骨与骨盆是形态学上两性异形(Sexual Dimorphism)最显著的部位。传统多元统计方法如判别函数分析(Discriminant Function Ana 摘要：骨骼残骸的性别估算是法医人类学(Forensic Anthropology)的关键环节，其中颅骨与骨盆是形态学上两性异形(Sexua ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.

The National School of Development at Peking University and the Baruch Master of Financial Engineering (MFE) Program jointly present the 2026 NSD–Baruch MFE Summer Program — a selective academic and p ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Accurate prediction of treatment response in ...

Abstract: The proposed system’s objective is to improve the performance of diagnosing liver diseases through machine learning by using the Random Forest algorithm. Such systems accommodate a detailed ...