Robotics & Machine Learning Daily News2024,Issue(Apr.11) :126-127.

Studies from China Agricultural University Yield New Information about Machine L earning (Stacking Ensemble Learning for Gas Sensor-based Detection of Salmon Fre shness and Shelf Life)

Robotics & Machine Learning Daily News2024,Issue(Apr.11) :126-127.

Studies from China Agricultural University Yield New Information about Machine L earning (Stacking Ensemble Learning for Gas Sensor-based Detection of Salmon Fre shness and Shelf Life)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting fromBeijing, People’s Republic of Chi na, by NewsRx journalists, research stated, “Salmon, celebrated for itsnutritio n and flavor, suffers rapid degradation in freshness due to prolonged transporta tion and storage,offering a haven for microorganisms. Addressing the escalating need for safe, fresh fish consumption,we probed conventional chemical and phys ical indicators like total volatile basic nitrogen (TVB-N), pH,texture profile analysis (TPA), and chromaticity across varying temperature intervals, linking t hese withgas sensors to identify sensitive sensor arrays.”

Key words

Beijing/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Gaussian Processes/Machine Learn ing/China Agricultural University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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