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

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...

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

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

1 Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China 2 Department of Pediatric Cardiology, Guangzhou Women and Children’s Medical Center, Guangzhou ...

Abstract: When the heart is unable to pump blood as effectively as it ought to, heart failure occurs. Breathing difficulty is frequently brought on by this because blood frequently backs up and fluid ...

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

Abstract: Cloud detection is a crucial preliminary step for assimilating meteorological satellite observation and retrieving other atmospheric parameters. This article presents an explainable machine ...