Imagen de Portada

Virtual Urbanism: An AI-Driven Framework for Quantifying Urban Identity. A Tokyo-Based Pilot Study Using Diffusion-Generated Synthetic Environments

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Maria, Glinskaya
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computers and Society Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Generative AI Meets Future Cities: Towards an Era of Autonomous Urban Intelligence
por: Wang, Dongjie, et al.
Publicado: (2023)

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
por: Zhang, Weijia, et al.
Publicado: (2024)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
por: Jurenka, Irina, et al.
Publicado: (2024)

Synthetic Data in AI: Challenges, Applications, and Ethical Implications
por: Hao, Shuang, et al.
Publicado: (2024)

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2025)

3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems
por: Zhang, Liang, et al.
Publicado: (2024)

Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring
por: Möller, Moritz, et al.
Publicado: (2024)

Quantifying Itch and its Impact on Sleep Using Machine Learning and Radio Signals
por: Ouroutzoglou, Michail, et al.
Publicado: (2025)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
por: Wang, Jiawei, et al.
Publicado: (2024)

Enhancing Team Diversity with Generative AI: A Novel Project Management Framework
por: Chan, Johnny, et al.
Publicado: (2025)

Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
por: Radmehr, Bahar, et al.
Publicado: (2024)

Biothreat Benchmark Generation Framework for Evaluating Frontier AI Models I: The Task-Query Architecture
por: Ackerman, Gary, et al.
Publicado: (2025)

Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
por: Yuan, Yingfang, et al.
Publicado: (2024)

HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
por: Ceravolo, Paolo, et al.
Publicado: (2025)

Data Augmentation via Diffusion Model to Enhance AI Fairness
por: Blow, Christina Hastings, et al.
Publicado: (2024)

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
por: Lin, Yujie, et al.
Publicado: (2023)

Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
por: Sun, Yuanyuan, et al.
Publicado: (2026)

Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring
por: Wu, Xinxing
Publicado: (2025)

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario
por: Wang, Hongjun, et al.
Publicado: (2024)

Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
por: Råmunddal, Justus
Publicado: (2025)

Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
por: Buckley, Warren, et al.
Publicado: (2023)

DualAlign: Generating Clinically Grounded Synthetic Data
por: Li, Rumeng, et al.
Publicado: (2025)

A Unifying Human-Centered AI Fairness Framework
por: Rahman, Munshi Mahbubur, et al.
Publicado: (2025)

Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
por: Hamade, Karim, et al.
Publicado: (2024)

Rethinking AI Evaluation in Education: The TEACH-AI Framework and Benchmark for Generative AI Assistants
por: Ding, Shi, et al.
Publicado: (2025)

Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
por: Asiedu, Mercy Nyamewaa, et al.
Publicado: (2024)

Generative AI Training and Copyright Law
por: Stober, Sebastian, et al.
Publicado: (2025)

AI Data Development: A Scorecard for the System Card Framework
por: Bahiru, Tadesse K., et al.
Publicado: (2025)

SYN-DIGITS: A Synthetic Control Framework for Calibrated Digital Twin Simulation
por: Fan, Grace Jiarui, et al.
Publicado: (2026)

Case Studies of AI Policy Development in Africa
por: Diallo, Kadijatou, et al.
Publicado: (2024)

Synthetic Data and the Shifting Ground of Truth
por: Offenhuber, Dietmar
Publicado: (2025)

The Age of Synthetic Realities: Challenges and Opportunities
por: Cardenuto, João Phillipe, et al.
Publicado: (2023)

Towards Effective Discrimination Testing for Generative AI
por: Zollo, Thomas P., et al.
Publicado: (2024)

Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
por: Hamman, Faisal, et al.
Publicado: (2024)

Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review
por: Nafis, Nazia, et al.
Publicado: (2025)

AI and Remote Sensing for Resilient and Sustainable Built Environments: A Review of Current Methods, Open Data and Future Directions
por: Joulani, Ubada El, et al.
Publicado: (2025)

AI-powered Digital Framework for Personalized Economical Quality Learning at Scale
por: VatandoustMohammadieh, Mrzieh, et al.
Publicado: (2024)

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
por: Raj, Aman, et al.
Publicado: (2025)

A Regulatory Governance Framework for AI-Driven Financial Fraud Detection in U.S. Banking: Integrating OCC, SR 11-7, CFPB, and FinCEN Compliance Requirements for Model Development, Validation, and Monitoring Lifecycles
por: Uddin, Mohammad Nasir
Publicado: (2026)

Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress
por: Lahoz, Lorena Torres, et al.
Publicado: (2025)