In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

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

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 ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...

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

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...