Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
Abstract: In complex industrial manufacturing processes, various defects may occur in products because of the poor quality of the equipment, materials, and human factors. These defects may lead to ...
Abstract: A novel vehicle rollover warning algorithm based on support vector machine (SVM) empirical model is proposed to improve the real-time of un-tripped rollover warning algorithm and accuracy of ...
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Britain wants to ban under-16s from social media: But critics say it is the wrong medicine
Children under the age of 16 would be completely barred from TikTok, Instagram and Snapchat. 16 and 17-year-olds would face a ...
Perioperative anemia and red blood cell transfusions are important risk factors for morbidity and mortality in cardiac ...
Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor ...
Comparative Analysis of Data Mining algorithms (KNN, Naive Bayes, SVM) for Diabetes prediction. Features an 88% accuracy SVM model deployed as a Clinical Decision Support System. - Muhamad-Shahan/D ...
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Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...
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