Robotics & Machine Learning Daily News2024,Issue(Dec.5) :113-114.

Studies from Vrije Universiteit Amsterdam Reveal New Findings on Machine Learnin g (Detecting drug transfers via the drop-off method: A supervised model approach using AIS data)

阿姆斯特丹Vrije Universityeit的研究揭示了机器学习的新发现(通过drop-off方法检测毒品转移:使用AIS数据的监督模型方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :113-114.

Studies from Vrije Universiteit Amsterdam Reveal New Findings on Machine Learnin g (Detecting drug transfers via the drop-off method: A supervised model approach using AIS data)

阿姆斯特丹Vrije Universityeit的研究揭示了机器学习的新发现(通过drop-off方法检测毒品转移:使用AIS数据的监督模型方法)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍了人工智能的新数据。根据来自荷兰阿姆斯特丹,Ne wsRx记者,研究称,“海上安全是巨大的。”在打击贩毒,特别是通过海上路线贩运毒品方面的重要性。在本文中,我们讨论迫切需要一种新的自动检测方法识别系统(AIS)数据。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting fromAmsterdam, Netherlands, by Ne wsRx journalists, research stated, “Maritime security is of tremendousimportanc e in countering drug trafficking, particularly through sea-based routes. In this paper, we addressthe pressing need for effective detection methods by introduc ing a novel approach utilizing AutomaticIdentification System (AIS) data.”

Key words

Vrije Universiteit Amsterdam/Amsterdam/Netherlands/Europe/Drugs and Therapies/Machine Learning/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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