掌握地理空间人工智能:从数据生产到人工智能基础模型开发和下游应用暑期学校会议[技术委员会]

IF 16.2 1区地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2023-09-01 DOI:10.1109/mgrs.2023.3302813

Manil Maskey, Gabriele Cavallaro, Dora Blanco Heras, Paolo Fraccaro, Blair Edwards, Iksha Gurung, Brian Freitag, Muthukumaran Ramasubramanian, Johannes Jakubik, Linsong Chu, Raghu Ganti, Rahul Ramachandran, Kommy Weldemariam, Sujit Roy, Carlos Costa, Alex Corvin, Anish Asthana

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引用次数: 0

摘要

提供社会信息，可能包括新闻，评论或技术笔记，从业者和研究人员应该感兴趣。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream Applications [Technical Committees]

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

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来源期刊

IEEE Geoscience and Remote Sensing Magazine Computer Science-General Computer Science

CiteScore

20.50

自引率

2.70%

发文量

期刊介绍： The IEEE Geoscience and Remote Sensing Magazine (GRSM) serves as an informative platform, keeping readers abreast of activities within the IEEE GRS Society, its technical committees, and chapters. In addition to updating readers on society-related news, GRSM plays a crucial role in educating and informing its audience through various channels. These include:Technical Papers,International Remote Sensing Activities,Contributions on Education Activities,Industrial and University Profiles,Conference News,Book Reviews,Calendar of Important Events.