Detection and classification of photovoltaic module defects based on artificial intelligence
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DOI: 10.1007/s00521-024-10000-z
Abstract: Photovoltaic (PV) system performance and reliability can be improved through the detection of defects in PV modules and the evaluation of their effects on system operation. In this paper, a novel system is proposed to… read more here.
Keywords: classification; detection; system; methodology ... See more keywords
Soft measurement of wood defects based on LDA feature fusion and compressed sensor images
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Forestry Research"
DOI: 10.1007/s11676-017-0395-6
Abstract: We proposed a detection method for wood defects based on linear discriminant analysis (LDA) and the use of compressed sensor images. Wood surface images were captured, using a camera Oscar F810C IRF camera, and then… read more here.
Keywords: defects based; compressed sensor; wood defects; fusion ... See more keywords
Research on Automatic Recognition of Casting Defects Based on Deep Learning
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DOI: 10.1109/access.2020.3048432
Abstract: A method for recognition of casting defects based on improved You Only Look Once (YOLO v3) is proposed to address the problems of slow detection speed, low detection efficiency, and poor robustness suffered from the… read more here.
Keywords: defects based; casting defects; model; recognition casting ... See more keywords
Estimate the Precision of Defects Based on Reports Duplication in Crowdsourced Testing
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DOI: 10.1109/access.2022.3227930
Abstract: When analyzing the defects of crowdsourced testing, the testing reports need to be preprocessed, including removing duplicate and false positives. At present, most crowdsourced testing research focuses on duplication of the reports, which has achieved… read more here.
Keywords: estimate precision; precision defects; crowdsourced testing; defects based ... See more keywords
Magnetic Properties and Defects of Fe-Ni-Based Magnetic Microwires
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2016.2587061
Abstract: We studied the magnetic properties and domain wall (DW) dynamics of Fe47.4Ni26.6Si11B13C2 and Fe77.5Si7.5B15 microwires. Both samples present a rectangular hysteresis loop and fast magnetization switching. The linear region of dependence of the DW velocity… read more here.
Keywords: defects based; sub sub; based magnetic; magnetic properties ... See more keywords