Space on MSN14h
First-Ever Black Hole Image Sharpened Using Machine Learning
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
Le Lézard20d
MANA Scientists Employ Active Machine Learning to Enhance Thermoelectric Performance of Materials
TSUKUBA, Japan, Jan. 17, 2025 /PRNewswire/ -- Scientists from the Research Center for Materials Nanoarchitectonics (MANA) have integrated machine learning with traditional materials science to ...
IEEE21d
A Deep Learning-Based Approach for Two-Phase Flow Pattern Classification Using Void Fraction Time Series Analysis
Abstract: Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine ...
EurekAlert!25d
Quality prediction of semi-solid die casting of aluminum alloy in terms of machine learning
"We try to establish a connection between process data and product quality using machine learning methods ... a key indicator to reflect the slurry flow behavior. The authors introduced data ...
GitHub1y
DoubleML - Double Machine Learning in Python
the machine learners for the nuisance functions,... the resampling schemes,... the double machine learning algorithm,... the Neyman orthogonal score functions,... It further can be readily extended ...
Design-Reuse2y
Artificial Intelligence and Machine Learning based Image Processing
Image processing is the process of converting an image to a digital format and then performing various operations on it to gather useful information. Artificial Intelligence (AI) and Machine Learning ...
University of Houston2y
Measurement, Quantitative Methods, & Learning Sciences Doctoral Program
The University of Houston's Measurement, Quantitative Methods, & Learning Sciences (MQM-LS) doctoral program equips students with the skills necessary to design, conduct and interpret quantitative ...
mccormick.northwestern.edu2y
Admissions Overview
Find more information here or in our FAQ. Detailed instructions are also provided in the application. Our program does not have required prerequisites, however, candidates should have a strong ...
Frontiers2y
The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images
The automatic recognition of food on images has numerous interesting applications ... sourced approach with properly aligned incentives can efficiently leverage machine learning know-how around the ...
GitHub6y
Machine Learning for .NET
ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...