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Bayesian learning boosts gene research accuracy
Researchers at The University of Texas at Arlington have developed a new computational tool that helps scientists pinpoint ...
CNET19h
Getty Images Has One of the Best AI Image Generator Set-Ups I've Tested
Getty Images doesn't have the perfect AI image generator, but it nails important stuff like privacy and prompting.
Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
Mining Weekly4d
TOMRA Mining launches CONTAIN™: Deep learning classification for inclusion-type ore sorting
CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...
IEEE9d
An Ensemble Feature Selection Algorithm for Machine Learning based Intrusion Detection System
A machine learning ... algorithms. The evaluation results on popular datasets (NSL- KDD, UNSW-NB15, and CICIDS-2017) show that our proposal outperforms existing feature selection algorithms regarding ...
Frontiers14d
Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
WA is an image segmentation ... and complete feature-set machine learning algorithms (RF and SVM) for tree species classification. The main conclusions are as follows: The sampling points should be ...
IEEE19d
Descriptive Analysis of Feature Selection and Clustering Algorithms for Optimized Drug Toxicity Prediction Model
Feature selection algorithms in machine learning help to assign ranks to selected features depending upon the priorities and importance. This paper focuses on analyzing and identifying prominent ...
BMJ25d
Deep learning-based facial image analysis in medical research: a systematic review protocol
Introduction Deep learning ... facial image identification and classification. Non-English databases will not be searched, which might limit the representativeness of the results. Two reviewers will ...
Frontiers29d
Characterization and feature selection of volatile metabolites in Yangxian pigmented rice varieties through GC-MS and machine learning algorithms
Methods: In this study, GC–MS-based metabolomics of Yangxian colored rice varieties were performed to characterize their volatile metabolites through multivariate statistics and machine learning ...