Railway Age

Improving Rail Operations Using AI and Machine Learning: Detecting Trespasser Hotspots

Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every ...

Between rain and snow, machine learning finds nine precipitation types

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...
AZoBuild on MSN

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, ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
eLife

Comparing the outputs of intramural and extramural grants funded by National Institutes of Health

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.
IEEE

Prediction of Wind Power Generation using Novel Linear Regression Algorithm Compared over Lasso Algorithm for Improving Accuracy Rate

Abstract: This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The ...