Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Everyday items like car tires, plastic bags and foam cushions come from materials called polymers that can take years to develop and test. Researchers at Carnegie Mellon University and the University ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...
As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...
The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly ...
Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...
This project applies feature extraction and machine learning to classify breast cancer (benign vs. malignant) using the Kaggle Breast Cancer Dataset. The goal is to achieve >90% accuracy, and the ...
The final, formatted version of the article will be published soon. Background): Diabetes Mellitus (DM) is a chronic metabolic disorder that poses a significant global health challenge, affecting ...
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