Data from Universiti Kebangsaan Malaysia Advance Knowledge in Machine Learning ( EDT-STACK: A stacking ensemble-based decision trees algorithm for tire tread dep th condition classification)

来自马来西亚Kebangsaan大学的数据先进机器学习知识（EDT-Stack：一种基于堆叠集成的轮胎胎面状况分类决策树算法）

Robotics & Machine Learning Daily News2024，Issue(Jun.6) ：41-42.

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Data from Universiti Kebangsaan Malaysia Advance Knowledge in Machine Learning ( EDT-STACK: A stacking ensemble-based decision trees algorithm for tire tread dep th condition classification)

来自马来西亚Kebangsaan大学的数据先进机器学习知识（EDT-Stack：一种基于堆叠集成的轮胎胎面状况分类决策树算法）

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摘要

一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-人工智能的新研究是一份新报告的主题。根据NewsRx记者来自马来西亚雪兰莪的新闻，研究表明，“轮胎是车辆和道路之间的关键界面。”这项研究的资助者包括马来西亚高等教育部；马来西亚Univer Siti Kebangsaan。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news originating from Selangor, Malaysia, by NewsRx correspondents, research stated, “Tires serve as the critical interface between a vehicle and the road.” Funders for this research include Ministry of Higher Education, Malaysia; Univer siti Kebangsaan Malaysia.

Key words

Universiti Kebangsaan Malaysia/Selangor/Malaysia/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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