A polar bear stood outside the Department of the Interior’s headquarters in Washington, D.C., Thursday with a message: “Stop ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

A study tracks how encroachments and sewage discharge affected Kodungaiyur canal's system, Ambattur, Korattur and Retteri ...

When Burl Ives sang "Silver and gold decorations, on every Christmas tree" in "Rudolph the Red-nosed Reindeer," he surely didn't know that Christmas trees actually have gold inside their needles — but ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

Moreover, all of then are available ready to use in this framework under the folder src/ml_datasets. The datasets employed are the following, and more information about how to load them is presented ...

Objectives This study aims to determine whether machine learning can identify specific combinations of long-term conditions (LTC) associated with increased sarcopenia risk and hence address an ...

Classification is a machine learning model used to predict mutually exclusive categories when there are no continuous values. It does so by using labels to classify data, thus predicting a discrete ...