Results 61 to 70 of about 1,791 (210)
Cross‐Modal Urban Sensing: Evaluating Sound–Vision Alignment Across Street‐Level and Aerial Imagery
ABSTRACT Environmental soundscapes carry rich ecological and social information, yet remain underutilized in geographic analysis. This study introduces a unified cross‐modal evaluation framework to examine how urban sounds align with visual representations from street‐level and aerial perspectives, and how different visual representation strategies ...
Pengyu Chen +3 more
wiley +1 more source
In the last decade, there has been a significant increase in the number of geography studies utilizing artificial intelligence (AI) applications and algorithms. Despite this increase, what is known about related studies is limited.
Burak Oğlakcı , Alper Uzun
doaj +3 more sources
Artificial Intelligence for Multisource Geospatial Information
The term Geospatial Artificial Intelligence (GeoAI) is quite cumbersome, and it has no single, shared definition [...]
Gloria Bordogna, Cristiano Fugazza
doaj +1 more source
Automated Road Crack Localization for Spatially Guided Highway Maintenance
ABSTRACT Highway networks are crucial for economic prosperity. Climate change‐induced temperature fluctuations are exacerbating stress on road pavements, resulting in elevated maintenance costs. This underscores the need for precisely targeted maintenance strategies.
Steffen Knoblauch +3 more
wiley +1 more source
GeoAI in Resource-Constrained Environments
This paper describes spatially aware Artificial Intelligence, GeoAI, tailored for small organizations such as NGOs in resource constrained contexts where access to large datasets, expensive compute infrastructure and AI expertise may be restricted.
Marc Böhlen +5 more
openaire +2 more sources
Artificial Intelligence (AI) in the geospatial data sphere has been around for some time - albeit under different monikers, including "deep learning" and "machine learning". Both commercial and open-source software have options for the current brand of AI, and these are discussed. Some machine learning training models are also openly available for use.
openaire +1 more source
الذكاء الاصطناعي الجغرافي المكاني (GeoAI) والصور الفضائية (EOs)، وتطبيقاتهما على الزراعة في اليمن
يعتبر الذكاء الاصطناعي الجغرافي المكاني والتصوير الفضائي (GeoAI- EO) علم ناشئ يستخدم التطورات في الحوسبة عالية الأداء لتطبيق التقنيات في الذكاء الاصطناعي، لا سيما التعلم الآلي (مثل التعلم العميق) واستخدام البيانات لاستخراج معلومات مفيدة من البيانات ...
Ayoub Ahmed Abdulah Al-Mahab +1 more
doaj +1 more source
Enlisting AI to Mainstream Ethics in Spatial Data Science Education
ABSTRACT This article examines ethics instruction in GIS and Spatial Data Science curricula. Our point of departure is the widely endorsed recommendation of the National Academies of Sciences, Engineering and Medicine that formal ethics education be integrated throughout data science curricula.
Robert M. Myers, David DiBiase
wiley +1 more source
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna +2 more
wiley +1 more source
Capturing the interactions between moving objects is vital in traffic analysis, sports, and animal behavior, but remains challenging because of subtle spatiotemporal dynamics.
Nico Van de Weghe +3 more
doaj +1 more source

