Findings from Center for Nano and Soft Matter Sciences Broaden Understanding of Machine Learning (Discriminative Analysis of Volatile Organic Compounds Using Ma chine-learning Assisted Au Loaded Zno and Tio 2-based Thin Film Sensors)

Robotics & Machine Learning Daily News2024，Issue(Aug.7) ：85-86.

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Findings from Center for Nano and Soft Matter Sciences Broaden Understanding of Machine Learning (Discriminative Analysis of Volatile Organic Compounds Using Ma chine-learning Assisted Au Loaded Zno and Tio 2-based Thin Film Sensors)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Bengaluru, India, by NewsRx correspondents, research stated, “Noble metal-based particulate catalystshave traditionally been loaded or decorated onto the semiconductor metal oxide (SMO) surfacesto enhance the performance of gas sensors. Fabricating SMO-based sensor s for selective detection ofparticular gases with high sensitivity remains a ch allenge.”

Key words

Bengaluru/India/Asia/Benzene Derivati ves/Cyborgs/EmergingTechnologies/Hydrocarbons/Machine Learning/Organic Che micals/Toluene/Center for Nano and Soft Matter Sciences

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2024

Robotics & Machine Learning Daily News

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