Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...
Has sports betting changed? Absolutely! Statistics and numerical analysis have completely re-shaped how betting works. In the ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
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 ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
In spontaneous intracerebral hemorrhage patients, features of hematoma expansion can be visualized and predicted from non-contrast computed tomography using transport-based morphometry.
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