Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

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

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

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 ...

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

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

New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...