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

Transforming Environmental Sustainability Through Augmented Deep Generative and Foundation Models

Häftad, Engelska, 2026

2 387 kr

Kommande

Beskrivning

The Next Frontiers of Quantum Generative Intelligence for Smarter Eco-Cities: Transforming Environmental Sustainability Through Augmented Deep Generative and Foundation Models presents groundbreaking advances in the convergence of quantum computing, artificial intelligence, deep generative models, foundation models, and urban and environmental systems to transform sustainable urban development practices. The book offers conceptual frameworks, theoretical insights, evidence syntheses, applied innovations, operational models, empirical case studies, and real-world use cases that showcase how various forms of quantum-enhanced intelligence can advance the analysis, simulation, prediction, and optimization of energy systems, transportation networks, mobility flows, water and waste systems, biodiversity and ecosystems, air quality dynamics, and carbon capture processes while strengthening climate resilience in smarter eco-cities.

Detailed chapters examine deep generative models, hybrid and mixed architectures, urban and environmental foundation models, hybrid quantum-classical architectures, quantum generative adversarial networks, quantum variational autoencoders, quantum diffusion models, and quantum transformer-based models, providing readers with foundational knowledge, applied methodologies, and practical solutions. The book bridges theoretical advances with deployment strategies, encompassing policy guidance and system constraints to support evidence-based decision-making in urban ecological sustainability contexts.

This seminal resource benefits urban planners, city managers, environmental scientists, policymakers, technology experts, academics, and graduate students by equipping them with innovative tools and frameworks to design, operate, manage, and plan smarter eco-cities. It serves researchers and practitioners at the intersection of quantum AI, quantum generative AI, and urban-environmental systems, fostering interdisciplinary collaboration to address the urgent challenges of ecological degradation, resource depletion, and climate change.

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

Utgivningsdatum:2026-08-01
Mått:152 x 229 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:420
Förlag:Elsevier Science
ISBN:9780443526657

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Mer om författaren

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.

Innehållsförteckning

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