Ben Ahmed / Spagnoletti / Essaaidi | Innovations in Smart Cities Applications, Volume 9 | Buch | 978-3-032-20558-2 | www.sack.de

Buch, Englisch, 828 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

Ben Ahmed / Spagnoletti / Essaaidi

Innovations in Smart Cities Applications, Volume 9

Proceedings of the 10th International Conference on Smart City Applications
Erscheinungsjahr 2026
ISBN: 978-3-032-20558-2
Verlag: Springer

Proceedings of the 10th International Conference on Smart City Applications

Buch, Englisch, 828 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

ISBN: 978-3-032-20558-2
Verlag: Springer


This book brings together the recent works of researchers and innovators who are shaping the cities of tomorrow. This book reflects a shared vision: using technology not just to modernize urban spaces, but to make them more sustainable, resilient, and centered on people’s real needs.

Across its chapters, the book explores how artificial intelligence, the Internet of Things, big data, cybersecurity, smart mobility, digital twins, and intelligent infrastructure are being applied to solve everyday urban challenges. From smarter transportation systems and energy management to digital health, education, and governance, the contributions show how research can turn into practical solutions that improve quality of life.

What makes this book distinctive is its balance between advanced scientific research and real-world relevance. The studies presented here are not only technically rigorous but also deeply connected to environmental sustainability, social impact, and inclusive development.

By bringing together perspectives from engineering, data science, urban planning, and social sciences, this book offers a rich and multidisciplinary view of smart city innovation. It is intended for researchers, professionals, and decision-makers working to build more connected, efficient, and human-centered cities.

Ben Ahmed / Spagnoletti / Essaaidi Innovations in Smart Cities Applications, Volume 9 jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Multi-Label Text Classification with Contextual Language Models and Graph Neural Networks.- Toward Robust Evaluation of AI Models: Challenges in the Era of Large Language Moldes and Traditional Machine learning models.- Rainfall prediction using AI models in north of Morocco: Comparative Study between Random Forst (RF), Support Vector Regression (SVR), Multilayer Perceptron (MPL).- A Benchmarking of Routing and Security Algorithms for Sensor Networks in Smart Farming.- Smart Adjustable Outdoor Workspace – An EPS@ISEP 2025 Project.- etc.



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