Results 91 to 100 of about 766 (173)

GeoAI and Multimodal Geospatial Data Fusion for Inclusive Urban Mobility: Methods, Applications, and Future Directions

Urban Science
Urban mobility is a central challenge for sustainable and inclusive cities, as climate change, congestion, and spatial inequality increasingly reveal mobility patterns as expressions of deeper social and spatial structures.
Atakilti Kiros, Yuri Ribakov, Israel Klein, Achituv Cohen   +3 more
doaj   +1 more source

A A Review of the Integration Between Geospatial Artificial Intelligence and Remote Sensing

Iraqi Journal for Computer Science and Mathematics
: Experts have extensively explored the advantages and applications of modern artificial intelligence (AI) algorithms across various domains. Geomatics data processing is no exception, as AI offers significant opportunities in this field.
abeer alshiha
doaj   +1 more source

Exploring geo-transferability of deep neural network by developing comprehensive metrics

Geo-spatial Information Science
Geo-transferability is an important but challenging dimension of the generalizability of GeoAI models because of the inherent geographic heterogeneity.
Junxian Yu, Wei Tu, Xiana Chen, Mingxiao Li, Dongsheng Chen, Rui Cao, Qingquan Li   +6 more
doaj   +1 more source

QGIS plugin for geospatial data processing in the cloud [PDF]

, 2020
QGIS is a GIS open source software tool which with the help of a plugin can communicate with a web service, both of them have been developed in this project. A group of researchers has developed Machine Learning algorithms that process geospatial images,
Casas Carrasquer, Oriol, Ponsa Mussarra, Daniel, Universitat Autònoma de Barcelona. Escola d'Enginyeria   +2 more
core  

Evaluating GeoAI-Generated Data for Maintaining VGI Maps

Land
Geospatial Artificial Intelligence (GeoAI) offers a scalable solution for automating the generation and updating of volunteered geographic information (VGI) maps—addressing the limitations of manual contributions to crowd-source mapping platforms such as
Lasith Niroshan, James D. Carswell
doaj   +1 more source

Ethical Framework to Assess and Quantify the Trustworthiness of Artificial Intelligence Techniques: Application Case in Remote Sensing [PDF]

n the rapidly evolving field of remote sensing, Deep Learning (DL) techniques have become pivotal in interpreting and processing complex datasets. However, the increasing reliance on these algorithms necessitates a robust ethical framework to evaluate ...
Frontoni, Emanuele, Giovanola, Benedetta, Mancini, Adriano, Paolanti, Marina, Pierdicca, Roberto, Tiribelli, Simona   +5 more
core   +1 more source

Spatializing Trust: A GeoAI-Based Model for Mapping Digital Trust Ecosystems in Mediterranean Smart Regions

ISPRS International Journal of Geo-Information
As digital transformation intensifies, the governance of spatial data infrastructures is becoming increasingly dependent on the capacity to generate and sustain trust—technological, institutional and civic.
Simona Epasto
doaj   +1 more source

Beyond Maps: advancing geospatial AI with multimodal foundation models [PDF]

LAUREA MAGISTRALEL'uso delle tecnologie IA nei flussi di elaborazione dati per compiti correlati alla geospazialità è stato al centro dell'interesse di molti individui sia nel campo professionale che accademico.
DIAB, MOHANAD YOUSEF AHMAD
core  

Geoprostorna umjetna inteligencija [PDF]

, 2019
Geoprostorna umjetna inteligencija (Geospatial artificial intelligence - geoAI) je nova znanstvena disciplina koja kombinira inovacije u prostornoj znanosti, metode umjetne inteligencije u strojnom učenju (npr.
Frančula, Nedjeljko
core   +1 more source

Teaching spatial data science [PDF]

‘Spatial data science’ er et spirende felt, der udspringer af både geografisk informationsvidenskab, geografi og data science. I denne artikel diskuterer vi først begrebet spatial data science, introducerer dets historie og argumenterer for, at det ...
Rahbek Vierø, Ane, Szell, Michael
core   +2 more sources