Smart City Gnosys

Smart city article details

Title	Iot-Driven Machine Learning Solutions For Smarter Urban Living
ID_Doc	34050
Authors	Sahana D.S.; Vidya J.; Madhurya J.A.; Nida K.G.
Year	2025
Published	Springer Tracts on Transportation and Traffic, 22
DOI	http://dx.doi.org/10.1007/978-3-031-87627-1_5
Abstract	The impact of IoT and ML on smart cities from a city infrastructure development perspective has converged, and data processing, decision-making, and collection have never been more efficient. IoT Sensors are essential for collecting information on environmental parameters, energy consumption, traffic patterns, and public safety. This massive amount of data can provide valuable insights using ML algorithms to predict patterns and enhance local governance. This also aids in projects like waste preservation and traffic provisioning, which work towards efficient energy utilisation within the urbanised spots. Success would require addressing scalability, interoperability, privacy, and data security issues. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Author Keywords	Data analytics; Internet of Things; Machine learning (ML); Smart city

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