Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...