首页|Studies from Liverpool John Moores University in the Area of Machine Learning Described (A Machine Learning-based Bayesian Model for Predicting the Duration of Ship Detention In Psc Inspection)

Studies from Liverpool John Moores University in the Area of Machine Learning Described (A Machine Learning-based Bayesian Model for Predicting the Duration of Ship Detention In Psc Inspection)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting originating from Liverpool, United Kingdom, by NewsRx correspondents, research stated, “Portstate control (PSC) inspections are deemed as an effective way to detect substandard vessels and ensuremaritime safety around the world. Despite great efforts on PSC in recent years, one challenge that stillexists in today’s PSC inspection practice is that there lack relevant scheme or academic research focusingon the duration of vessel detention, which is of great importance to the inspection system.”

LiverpoolUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningLiverpool John Moores University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.1)