A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...

Northland College in Ashland, Wisconsin, held its final commencement ceremony in 2025 before closing permanently due to financial challenges and declining enrollment. The college had been in operation ...

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...

Engineered nanozymes and explainable machine learning enable sensitive bacterial detection across complex conditions. The system uses three distinct signals and delivers transparent, verifiable ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

Abstract: Tree boosting is a highly effective and widely used machine learning method. A dynamic weighting multi-factor stock selection strategy based on XGBoost model is constructed. XGboost machine ...

Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Hennan, China Objective: This study aimed to establish a prediction model for the short-term prognosis of ...