Sidi Mohamed Ben Abdellah University Researchers Report Research in Machine Learning (Performance evaluation of Machine Learning algorithms for LULC classificat ion: A case study of Fez-Meknes region)
Sidi Mohamed Ben Abdellah大学研究人员报告了机器学习的研究(LULC分类的机器学习算法的性能评估：Fez-Meknes地区的案例研究)
Sidi Mohamed Ben Abdellah University Researchers Report Research in Machine Learning (Performance evaluation of Machine Learning algorithms for LULC classificat ion: A case study of Fez-Meknes region)
Sidi Mohamed Ben Abdellah大学研究人员报告了机器学习的研究(LULC分类的机器学习算法的性能评估：Fez-Meknes地区的案例研究)
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摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于人工智能的新报告。根据NewsRx记者从Sidi Mohamed Ben Abdellah Universs Itity发回的消息，研究表明：“遥感技术已经取得了重大进展，在绘制LULC地图方面的应用越来越完善。基于机器学习的方法的整合已经被探索，利用D Iverse卫星图像开发具有不同精度的LULC地图。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news originating from Sidi Mohamed Ben Abdellah Univers ity by NewsRx correspondents, research stated, “Significant advancements have be en made in remote sensing technologies, with increasingly refined applications i n creating LULC maps. The integration of Machine Learning-based approaches has b een explored to develop LULC maps with varying levels of precision, leveraging d iverse satellite imagery.”
Key words
Sidi Mohamed Ben Abdellah University/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing
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