Robotics & Machine Learning Daily News2024,Issue(Mar.14) :111-112.

Findings from RISE Research Institutes of Sweden Update Knowledge of Machine Lea rning (Machine Learning Models for the Prediction of Polychlorinated Biphenyls a nd Asbestos Materials In Buildings)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :111-112.

Findings from RISE Research Institutes of Sweden Update Knowledge of Machine Lea rning (Machine Learning Models for the Prediction of Polychlorinated Biphenyls a nd Asbestos Materials In Buildings)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Gothenburg, Sweden, by NewsRx correspondents, research stated, “Hazardous materials in buildings ca use project uncertainty concerning schedule and cost estimation, and hinder mate rial recovery in renovation and demolition. The study aims to identify patterns and extent of polychlorinated biphenyls (PCBs) and asbestos materials in the Swe dish building stock to assess their potential presence in pre-demolition audits. ”

Key words

Gothenburg/Sweden/Europe/Asbestos/Bi phenyl Compounds/Chlorinated Hydrocarbons/Cyborgs/Emerging Technologies/Halo genated Hydrocarbons/Hydrocarbons/Inorganic Chemicals/Machine Learning/Polyc hlorinated Biphenyls/Silicates/Silicon Compounds/Silicon Dioxide/RISE Resear ch Institutes of Sweden

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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