Results 41 to 50 of about 766 (173)

GeoAI enabled urban computing: status and challenges

open access: yesAnnals of GIS
Geospatial Artificial Intelligence (GeoAI), an interdisciplinary field integrating geographic information science with artificial intelligence (AI), has emerged as a transformative force in advancing urban computing technologies and applications.
Feng Lu, Shifen Cheng, Peixiao Wang
doaj   +1 more source

GeoAI in Social Science

open access: yes, 2023
GeoAI, or geospatial artificial intelligence, is an exciting new area that leverages artificial intelligence (AI), geospatial big data, and massive computing power to solve problems with high automation and intelligence.
Li, Wenwen
core  

High-Resolution Road Vehicle Collision Prediction for the City of Montreal

open access: yes, 2019
Road accidents are an important issue of our modern societies, responsible for millions of deaths and injuries every year in the world. In Quebec only, in 2018, road accidents are responsible for 359 deaths and 33 thousands of injuries. In this paper, we
Glatard, Tristan   +3 more
core   +1 more source

Automating Archaeological Discovery: Assessing Geospatial Artificial Intelligence (GeoAI) Tools for Stone Wall Identification in Kweneng, South Africa

open access: yesArchaeometry, EarlyView.
ABSTRACT The discovery of archaeological sites traditionally entails the utilisation of physically demanding exploration methodologies, including terrain surveying and the analysis of historical records. Recent technological developments have led to an increased use of non‐invasive remote sensing techniques, including Google Earth, LiDAR and aerial ...
Mncedisi J. Siteleki
wiley   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan   +1 more
wiley   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

open access: yesEnergy Science &Engineering, Volume 14, Issue 5, Page 2554-2570, May 2026.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi   +8 more
wiley   +1 more source

Smart city re-imagined: City planning and GeoAI in the age of big data

open access: yesJournal of Urban Management, 2023
This paper aims to engage with the ongoing debates on the role of planning in future smart cities, to make a case for a reconceptualization of the technocentric notion of the smart city, and to elevate the position of city planning within the smart-city ...
Reza Mortaheb, Piotr Jankowski
doaj   +1 more source

Machine Learning Classification of AI‐Generated and Human‐Mapped Buildings in OpenStreetMap Using Morphometric Analysis

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT The proliferation of AI‐generated building footprints in OpenStreetMap (OSM) has transformed crowdsourced mapping, yet the geometric characteristics associated with different digitization methods remain poorly understood. This study presents a comprehensive morphometric analysis of more than 9 million building footprints across 15 ...
Abdulkadir Memduhoğlu
wiley   +1 more source

From Climate to Development Intelligence : Building Africa's Data Governance Systems for Resilience and Economic Growth [PDF]

open access: yes
The adoption of the UN carbon-crediting mechanism at COP29 in Baku in 2024, and the growing emphasis on adaptation tracking leading up to COP30 in Belem, have marked a new phase in global climate governance.
Faye, Jean Paul L., Ly, Racine
core   +1 more source

Enlisting AI to Mainstream Ethics in Spatial Data Science Education

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
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

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