Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Solution, is now a qualified solution on Mayo Clinic Platform, marking a major milestone in the company’s eight-year journey ...
A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.
A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...
An easy way to do this is to go to Settings & privacy > Content preferences, and then open the “Unfollow people and groups” ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback