Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...
AI-powered solution automates global trade product classification and improves compliance accuracy SAN JOSE, CA, UNITED ...
To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...
A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
Data from 11 hospitals were collected. An unsupervised clustering model was used to extract classification patterns, and clinical experts assigned disease labels. Multiple machine learning models, ...
The objective of this project is to build and compare multiple machine learning classification models to predict wine quality. The task involves classifying wines into two categories: Good Quality ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Phosphatidylinositol 3-kinases (PI3Ks) play a crucial role in human metabolism, and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results