Results 191 to 200 of about 30,221 (232)

Gender disparities in lung cancer and social determinants of environmental risk: a geospatial analysis across Illinois counties. [PDF]

Front Public Health
Chen CB, McComas AM, Liu E, Villegas J.
europepmc   +1 more source

Geospatial dataset on human perceptions of wealth and physical disorder in urban China using street view imagery and deep learning. [PDF]

Data Brief
Zhang Y, You Y, Chen S, Cai L.
europepmc   +1 more source

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Towards Sharing and Integrating Data and Models for Geospatial Artificial Intelligence on the Web

2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2023
Guangjun He, Shichao Jin, Shishuo Liu
exaly   +2 more sources

The Evolution of Geospatial Artificial Intelligence

Springer Geography
Gengchen Mai, Yiqun Xie, Xiaowei Jia
exaly   +2 more sources

Geospatial Artificial Intelligence (GeoAI)

2021
Nowadays, artificial intelligence (AI) is bringing tremendous new opportunities and challenges to geospatial research. Its fast development is powered by theoretical advancement, big data, computer hardware (e.g., the graphics processing unit, or GPU), and high-performance computing platforms that support the development, training, and deployment of AI
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Geospatial artificial intelligence

2020
Georäumliche Künstliche Intelligenz: Potentiale des Maschinellen Lernens für 3D-Punktwolken und georäumliche digitale Zwillinge. Künstliche Intelligenz (KI) verändert grundlegend die Art und Weise, wie IT-Lösungen in allen Anwendungsbereichen, einschließlich dem Geoinformationsbereich, implementiert und betrieben werden.
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An overview of GeoSpatial Artificial Intelligence technologies for city planning and development

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2023
Hafsa Ouchra, Abdessamad Belangour, Allae Erraissi   +2 more
exaly   +2 more sources

Applications of Artificial Intelligence and Machine Learning in Geospatial Data

2023
With rapid development in new technologies our intelligence and expertise in artificial intelligence (AI) have increased significantly. Intelligent machines are preferred, which motivates us to incorporate highly sophisticated technologies. Geographic analysis for environmental applications has advanced recently, owing to the vast explosion of ...
Nishi Srivastava, Nisheeth Saxena
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Introduction to Geospatial Artificial Intelligence

The 2030 Agenda for Sustainable Development, adopted by the United Nations in 2015, set an ambitious vision for people and the planet. Ten years later, the challenges remain—and are now compounded by new threats. A reliable data infrastructure is vital for tracking progress on the SDGs.
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