Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every ...
The study reveals a fourfold increase in hypertension risk for children in e-waste regions, emphasizing the health impacts of ...
In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...
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New Study Uses Fuzzy Logic to Accurately Predict Hardness in High-Performance Concrete
A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
Abstract: The quadratic multiple knapsack problem (QMKP) is a well-studied problem in operations research. This problem involves selecting a subset of items that maximizes the linear and quadratic ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Abstract: This study is based on baseline data and 2-year follow-up information from 145 heart failure patients in Guangxi, China, combined with a publicly available scientific dataset on Chinese ...
A collection of core Machine Learning algorithms implemented from scratch using only NumPy. This project focuses on understanding the inner workings of ML models without relying on libraries like ...
Department of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States ...
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