Indicators for Gleevec nonadherence were cognitive functioning, global health status score, social support, gender and others ...

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a ...

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based ... developed a model based on Graph Neural Networks ...

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized how businesses operate, ...

Santhosh Kumar Shankarappa Gotur's systematic approach to performance testing and optimization provides a robust framework ...

Researchers developed COMET, a deep learning framework that leverages electronic health records and omics data to improve ...

The IISc team found that their transfer learning-based model, which was first pre-trained and then fine-tuned, performed much better than models trained from scratch. The team also used a ...

Researchers have developed a machine learning model to identify defective products by detecting injection pressure during the semi-solid die casting process, thereby providing a foundation for ...