Robotics & Machine Learning Daily News2024,Issue(Mar.25) :4-5.

Alexandria University Researchers Update Current Study Findings on Machine Learn ing (Sensitivity evaluation of machine learningbased calibrated transportation mode choice models: A case study of Alexandria City, Egypt)

Robotics & Machine Learning Daily News2024,Issue(Mar.25) :4-5.

Alexandria University Researchers Update Current Study Findings on Machine Learn ing (Sensitivity evaluation of machine learningbased calibrated transportation mode choice models: A case study of Alexandria City, Egypt)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news originating from Alexandria, E gypt, by NewsRx editors, the research stated, “Intelligent methods including Mac hine Learning (ML) techniques have been increasingly employed in transportation mode choice modeling, which is more complex than other demand models, since it has to reliably and accurately reflect a wide range of related categorical and co ntinuous variables, concerning the travelers, transportation system, and trip ch aracteristics. ML techniques can capture such complex relationships.”

Key words

Alexandria University/Alexandria/Egypt/Africa/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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