A Scalable Deep Learning–IoT Framework for Cross-Domain Intelligent Smart City Systems
Date Published : 28 July 2026
Contributors
Dr.T.Suresh Balakrishnan
Lincoln University College
Author
Dr. Jyoti Sekhar Banerjee
Lincoln University College
Author
Keywords
Deep Learning
Internet of Things
Smart Cities
Federated Learning
Edge Computing
Multimodal Data Fusion
Proceeding
Track
Engineering and Sciences
License
Copyright (c) 2026 Sustainable Global Societies Initiative
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
Rapid 21st-century urbanization demands scalable, intelligent smart city systems. Combining Deep Learning (DL) and the Internet of Things (IoT) addresses challenges like traffic, pollution, and energy inefficiency. This framework processes multimodal sensor data using edge, cloud, and federated learning. Focusing on cross-domain intelligence and privacy, this research designs sustainable urban infrastructures.
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How to Cite
T, S. B., & Jyoti Sekhar Banerjee, J. S. B. (2026). A Scalable Deep Learning–IoT Framework for Cross-Domain Intelligent Smart City Systems. Sustainable Global Societies Initiative, 1(3). https://vectmag.com/sgsi/paper/view/319