Robotics & Machine Learning Daily News2024,Issue(Jul.4) :109-109.

New Data from Ahmadu Bello University Illuminate Research in Machine Learning (M achine Learning-Based Forest Type Mapping from Multi-Temporal Remote Sensing Dat a: Performance and Comparative Analysis)

艾哈迈杜·贝洛大学的新数据照亮了机器学习的研究(基于机器学习的多时相遥感森林类型制图:性能和比较分析)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :109-109.

New Data from Ahmadu Bello University Illuminate Research in Machine Learning (M achine Learning-Based Forest Type Mapping from Multi-Temporal Remote Sensing Dat a: Performance and Comparative Analysis)

艾哈迈杜·贝洛大学的新数据照亮了机器学习的研究(基于机器学习的多时相遥感森林类型制图:性能和比较分析)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-调查人员讨论人工智能的新发现。根据New sRx记者在尼日利亚扎里亚的新闻报道,研究表明,"本文对先进的机器学习技术进行了细致的探索,以利用林地环境中的多时相遥感数据进行精确的森林类型分类"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Zaria, Nigeria, by New sRx journalists, research stated, “This paper presents a meticulous exploration of advanced machine learning techniques for precise forest type classification u sing multi-temporal remote sensing data within a woodland environment.”

Key words

Ahmadu Bello University/Zaria/Nigeria/Africa/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing/Suppo rt Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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