With the growth of computing and communication technologies, the information processing
paradigm of the healthcare environment is evolving. The patient information is stored …

This research paper examines the transformative role of artificial intelligence (AI) and
machine learning (ML) in advancing materials discovery and production processes. The …

Bone defect is a highly prevalent disorder. Given that many people, especially the elderly
are suffering from it, there's an urgent need for the development of bone tissue regeneration …

Cardiac disorders are a leading cause of global casualties, emphasizing the need for the
initial diagnosis and prevention of cardiovascular diseases (CVDs). Electrocardiogram …

The scientific community has raised increasing apprehensions over the transparency and
interpretability of machine learning models employed in various domains, particularly in the …

Abstract We introduce M $^ 2$ Hub, a toolkit for advancing machine learning in materials
discovery. Machine learning has achieved remarkable progress in modeling molecular …

Regression testing ensures that modified software code changes have not adversely
affected existing code modules. The test suite size increases with modification to the …

Background Predicting wildfire progression is vital for countering its detrimental effects.
While numerous studies over the years have delved into forecasting various elements of …

In the context of the 21st century and the fourth industrial revolution, the substantial
proliferation of data has established it as a valuable resource, fostering enhanced …

Artificial intelligence-based materials application is one of the hot topics in the field of
materials science. Materials are widely used in the space industry, cutting tools, thermal and …