In the competitive realm of sports, accurate predictions of match outcomes can provide significant strategic advantages. This study aims to develop an accurate prediction system to assist coaches in ...

Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern public transportation, attributed to their unparalleled convenience, high efficiency, and commitment to sustainable ...

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...

In HRMS-based nontargeted analysis (NTA), spectral matching is crucial for chemical identification, particularly in the absence of retention information. This study introduces class probability of ...

Regulating chemicals to protect the environment based on ecotoxicological assessments is a major challenge. However, experimental ecotoxicity tests are time-consuming and expensive, which underscores ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...