The Next Frontiers of Quantum Generative Intelligence for Smarter Eco-Cities

Transforming Environmental Sustainability Through Augmented Deep Generative and Foundation Models

Häftad, Engelska, 2026

3 019 kr

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The Next Frontiers of Quantum Generative Intelligence for Smarter Eco-Cities: Transforming Environmental Sustainability Through Augmented Deep Generative and Foundation Models covers advances in the convergence of quantum computing, deep generative models, foundation models, and urban-environmental intelligence to transform sustainable urban development. The book offers conceptual frameworks, theoretical insights, operational models, and empirical case studies that showcase how quantum-enhanced generative intelligence can optimize energy, transportation, mobility, water, waste, air quality, biodiversity, climate resilience, and disaster management in eco-cities. Detailed chapters examine deep generative models, hybrid quantum-classical architectures, quantum GANs and VAEs, diffusion models, transformer-based foundation models, and much more.

The text bridges theoretical advances with practical deployment strategies, encompassing policy guidance and system constraints to support evidence-based decision-making in urban sustainability contexts. This resource benefits urban planners, environmental scientists, policymakers, technology experts, city managers, academics, and graduate students by equipping them with innovative tools and frameworks to design, manage, and operate smarter eco-cities.

Presents quantum-enhanced generative modeling frameworks that improve scalability, uncertainty quantification, and predictive accuracy for complex urban-environmental systems
Demonstrates applied case studies across multiple domains such as energy, transportation, biodiversity, and climate resilience, offering practical insights and measurable impacts for implementing cutting-edge technologies
Provides integrated operational and strategic frameworks that translate advanced computational intelligence into scalable, adaptive urban decision-making and policy guidance, empowering stakeholders to optimize sustainable urban infrastructure

Produktinformation

Utgivningsdatum2026-08-01
Mått152 x 229 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor420
FörlagElsevier Science
ISBN9780443526657

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Simon Elias Bibri, PhD, is a globally recognized scholar and expert in sustainable smart cities and smarter eco-cities. He currently serves as a Senior Researcher and Project and Scientific Coordinator at the Swiss Federal Institute of Technology in Lausanne (EPFL). Dr. Bibri has a diverse professional background, having served as Head of the Computer Department, Software and IT Business Engineer, IT Project Manager, Green ICT and Environmental Sustainability Strategist, Research Associate, and Assistant Professor. He has also been a visiting scholar at Lund University and a visiting senior researcher at the Royal Institute of Technology (KTH) in Sweden. He has served as an international expert in AI for Climate Action for the UNFCCC and in Sustainable Cities for UNIDO. Currently, he is an expert for the Focus Group on Smart Sustainable Cities, Environmental Sustainability, and Digital Twins at the ITU. Dr. Bibri also holds the position of Editor-in-Chief of the International Journal of Environmental Studies at Taylor & Francis Group and serves as Associate Editor of the Journal of Sustainable Cities and Society. He holds a bachelor’s degree in Computer Engineering, multiple master’s degrees from Esteemed Swedish universities, and a PhD in Computer Science and Information Technology from NTNU. He has authored 10 books, edited 3 works, and co-edited 15 volumes. Recently, he joined an EU Horizon Europe consortium project as Scientific Coordinator, Principal Investigator, and Senior Scientist.

1. The Rise of Quantum Generative Intelligence for Smarter Eco-Cities: Evolutionary Dynamics, Computational Advancements, Emerging Applications, and Implementation Challenges2. Deep Generative, Hybrid, and Mixed Models for Smarter Eco-City Intelligence: Conceptual, Architectural, Functional, and Practical Dimensions3. Pretrained, Adapted, and Multimodal Foundation Models for Smarter Eco-Cities: A Geospatial, Language, and Vision Approach to Urban-Environmental Intelligence4. Quantum Computing, AI, and Generative AI: Theoretical, Technical, Computational, Synergistic, and Practical Foundations and Implications for Smarter Eco-Cities5. The Next Frontier of Deep Generative, Hybrid, and Mixed Architectures for Smarter Eco-City Intelligence: Leading-edge Solutions for Advancing Environmental Sustainability Goals6. A Multilayered Framework for Deep and Hybrid Generative Smarter Eco-City Intelligence: Cross-Domain Convergence, Implications, Challenges, and Research Directions7. The Next Wave of Generative Smarter Eco-City Modelling: Unifying Urban and Environmental Foundation Models for Adaptive, Scalable, and Multimodal Intelligence8. Quantum GANs and VAEs for Smarter Eco-Cities: Architectural Paradigms, Empirical Performance, and Practical Feasibility for Urban-Environmental Intelligence9. Quantum Diffusion Models for Smarter Eco-Cities: Generative, Synergistic, and Algorithmic Advances and Pathways for Urban-Environmental Intelligence10. Quantum Transformers and Language and Vision Foundation Models for Smarter Eco-Cities: A Hybrid Framework for Augmented Generative Urban-Environmental Intelligence11. Quantum-Enhanced AI, Machine Learning, and Generative AI for Smarter Eco-Cities: Innovative Solutions for Tackling Environmental Sustainability Challenges12. Quantum AI and Generative AI for Smarter Eco-City Development: A Synthesized Framework and Deployment, Hardware, Algorithmic, Data, and Environmental Challenges