Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

Abstract: The classification of underwater objects into rocks or mines is a vital task in naval security, marine exploration, and environmental studies. The current work introduces a machine ...

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

Abstract: Earth observation data have proven to be a valuable resource of quantitative information that is more consistent in time and space than traditional land-based surveys. Remote sensing plays a ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

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

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

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 ...