The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

AI dependence among university students is driven less by routine use and more by the reasons students turn to the technology ...

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...

The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

AI meets isotope science: Machine learning is enhancing isotope analysis techniques, improving efficiency, accuracy, and insights into geochemical processes. Key hurdles remain: Data scarcity, limited ...

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

Background Tobacco use remains a global public health challenge, leading to over 8 million annual deaths and significant ...

Multiomics analysis sheds new light on the role of NETs in alcohol-induced epilepsy Epilepsy is a highly prevalent chronic ...

To develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.

Abstract: Financial aid ensures equitable access to higher education, irrespective of students' social or economic backgrounds. However, as the financial aid source are limited, the administrators are ...