Robotics & Machine Learning Daily News2024,Issue(Mar.27) :63-64.

Newcastle University Reports Findings in Machine Learning (Realtime monitoring and predictive analysis of VOC flux variations in soil vapor: Integrating PID se nsing with machine learning for enhanced vapor intrusion forecasts)

Robotics & Machine Learning Daily News2024,Issue(Mar.27) :63-64.

Newcastle University Reports Findings in Machine Learning (Realtime monitoring and predictive analysis of VOC flux variations in soil vapor: Integrating PID se nsing with machine learning for enhanced vapor intrusion forecasts)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting originating in Callaghan, Aus tralia, by NewsRx journalists, research stated, 'In the rapidly evolving domain of vapor intrusion (VI) assessments, traditional methodologies encompass detaile d groundwater and soil vapor sampling coupled with comprehensive laboratory meas urements. These models, blending empirical data, theoretical equations, and site -specific parameters, evaluate VI risks by considering a spectrum of influential factors, from volatile organic compounds (VOC) concentrations in groundwater to nuanced soil attributes.'

Key words

Callaghan/Australia/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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