Hydrofluoroether impurities—Chemical detection using a deep learning laser speckle contrast evolving spiking neural network

Hydrofluoroether impurities—Chemical detection using a deep learning laser speckle contrast evolving spiking neural network

Hydrofluoroether (HFE) impurities detection is an issue related to detecting chemical contamination within a high volume manufacturing (HVM) chiller caused by a rapid emulated environmental attack. The aftereffects of the cycle emulated attack may eventually create a micro-crack in the heat-exchange...

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Bibliographic Details
Main Authors: Mohd. Salleh, Ali Syariati, Abdul Hamed, Haza Nuzly, Isa, Mohd. Adham, Haron, Habibollah
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/93159/1/HazaNuzlyAbdullHamed2020_HydrofluoroetherImpuritiesChemicalDetectionUsing.pdf
http://eprints.utm.my/id/eprint/93159/
http://dx.doi.org/10.1109/ACCESS.2020.3040895
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/93159/1/HazaNuzlyAbdullHamed2020_HydrofluoroetherImpuritiesChemicalDetectionUsing.pdf
http://eprints.utm.my/id/eprint/93159/
http://dx.doi.org/10.1109/ACCESS.2020.3040895

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