Robotics & Machine Learning Daily News2024,Issue(Mar.13) :66-67.

Investigators at Nanyang Technological University Discuss Findings in Machine Le arning (Vessel Turnaround Time Prediction: a Machine Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Mar.13) :66-67.

Investigators at Nanyang Technological University Discuss Findings in Machine Le arning (Vessel Turnaround Time Prediction: a Machine Learning Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Singapore, Singapore, by NewsRx editors, research stated, “Uncertainty in vessel turnaround time (VTT ) is troublesome and would reduce the operational efficiency in port management, potentially causing economic losses. Despite vessels generally providing their estimated departure time (EDT), there is frequently a considerable difference be tween the EDT and the actual departure time (ADT) of vessels due to various fact ors such as unexpected port handling inefficiency.” Financial support for this research came from Ministry of Education, Singapore.

Key words

Singapore/Singapore/Asia/Cyborgs/Eme rging Technologies/Machine Learning/Nanyang Technological University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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