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Published in 2017 at "JOM"
DOI: 10.1007/s11837-016-2226-1
Abstract: AbstractBy applying computer vision and machine learning methods, we develop a system to characterize powder feedstock materials for metal additive manufacturing (AM). Feature detection and description algorithms are applied to create a microstructural scale image…
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Keywords:
computer vision;
machine learning;
powder;
vision machine ... See more keywords
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Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep44048
Abstract: Traditional evaluation of crop biotic and abiotic stresses are time-consuming and labor-intensive limiting the ability to dissect the genetic basis of quantitative traits. A machine learning (ML)-enabled image-phenotyping pipeline for the genetic studies of abiotic…
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Keywords:
genome wide;
machine learning;
computer vision;
vision machine ... See more keywords
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Published in 2019 at "Science Robotics"
DOI: 10.1126/scirobotics.aax7421
Abstract: Science fiction has a cautionary view of computer vision and machine learning. Science fiction has a cautionary view of computer vision and machine learning.
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Keywords:
machine learning;
learning science;
science;
science fiction ... See more keywords
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Published in 2021 at "eLife"
DOI: 10.7554/elife.59161
Abstract: Mice emit ultrasonic vocalizations (USVs) that communicate socially relevant information. To detect and classify these USVs, here we describe VocalMat. VocalMat is a software that uses image-processing and differential geometry approaches to detect USVs in…
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Keywords:
ultrasonic vocalizations;
machine learning;
vision machine;
analysis ... See more keywords