Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...

Song Shi does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Timothy Graham receives funding from the Australian Research Council (ARC) for the Discovery Project, 'Understanding and Combatting "Dark Political Communication"'. A new study published today in ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...

Social media algorithms determine what billions of users see daily, yet most creators barely scratch the surface of how they operate. Platforms prioritize content ranking using engagement metrics, ...

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...

DeepSeek researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted ...

Osteoporosis is a systemic skeletal disease defined by decreased bone mass, deteriorated bone microarchitecture, and increased fracture susceptibility, all of which substantially increase the risks of ...