Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

The fashion industry has problems with textile waste and mislabeling. AI tools from Refiberd and HKRITA offer help with sustainable garment recycling.

New Australian research has identified simultaneous abnormalities across multiple biological systems in people with myalgic ...

Introduction While a large proportion of buccal mucosa cancer (BMC) is attributed to tobacco use, the contribution of alcohol ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Background Malnutrition influences prognosis in patients with heart failure, but current nutritional evaluation methods are ...

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

In the rapidly evolving landscape of enterprise retail data architecture, where technical precision meets organizational transformation, the remarkable success of the Department and Class (DPC) ...