Results 51 to 60 of about 1,791 (210)

Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised Learning Method for Machine Learning Classifiers

open access: yesRemote Sensing, 2022
A quantum machine is a human-made device whose collective motion follows the laws of quantum mechanics. Quantum machine learning (QML) is machine learning for quantum computers.
Riyaaz Uddien Shaik   +2 more
doaj   +1 more source

Advancing AI-Driven Geospatial Analysis and Data Generation: Methods, Applications and Future Directions [PDF]

open access: yes
Recent years have witnessed a revolution of artificial intelligence (AI) technologies, highlighted by the rise of generative AI and geospatial artificial intelligence (GeoAI) [...
Hochmair, Hartwig H   +2 more
core   +2 more sources

Crayons × Code: Re‐Exploring Children's Drawings With Multimodal AI and Dynamic Ethics

open access: yesArea, Volume 58, Issue 2, June 2026.
ABSTRACT Children's drawings are used to study their environmental perception, but AI‐powered analysis of these visual materials remains underexplored. This paper re‐explores the use of children's drawings as a tool for understanding their perceptions of the environment, leveraging multimodal AI for analysis.
Chen Qu
wiley   +1 more source

Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images

open access: yesRemote Sensing, 2019
Precipitation, especially convective precipitation, is highly associated with hydrological disasters (e.g., floods and drought) that have negative impacts on agricultural productivity, society, and the environment.
Qian Liu   +6 more
doaj   +1 more source

Automating the Crowd-Mapping Workflow with Deep Learning [PDF]

open access: yes, 2018
Maintaining updated maps in an ever-changing built environment is important for supporting modern society in many ways. The usage of online crowdsourced maps in particular has gained importance in a wide range of recent location-based applications (route
Niroshan, Lasith
core   +2 more sources

DeepOT: A Deep Learning Framework for Pixel‐Level Ground Surface Displacement Estimation From SAR Amplitude Imagery

open access: yesEarth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Monitoring ground surface displacement is critical for understanding geophysical processes and mitigating natural hazards, yet conventional Synthetic Aperture Radar (SAR) techniques are often limited by decorrelation, complex terrain, and heterogeneous motion.
Jinwoo Kim, Hying‐Sup Jung, Zhong Lu
wiley   +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

Golden Gate Bridge, as Always? Eliciting Prototypical Places From Autoregressive Large Language Models via Category Production

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Among the various theories of categorization, Eleanor Rosch's prototype theory stands out as both influential and contested. In contrast to the classical theory of concepts, prototype theory posits that humans conceptualize the world using category structures where exemplars vary in their degree of membership.
Zilong Liu   +5 more
wiley   +1 more source

Computational and urban science amid generative AI: the enduring relevance of McDermott’s critique (opinion paper)

open access: yesComputational Urban Science
This paper revisits McDermott’s seminal 1976 critique, Artificial Intelligence Meets Natural Stupidity, in light of the rapid rise of generative AI. McDermott’s warnings about conceptual imprecision, rhetorical inflation, and anthropomorphic metaphors ...
Christophe Claramunt   +2 more
doaj   +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

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