Smart City Gnosys

Smart city article details

Title	Literature Review On The Smart City Resources Analysis With Big Data Methodologies
ID_Doc	35360
Authors	Gubareva R.; Lopes R.P.
Year	2024
Published	SN Computer Science, 5, 1
DOI	http://dx.doi.org/10.1007/s42979-023-02457-x
Abstract	This article provides a systematic literature review on applying different algorithms to municipal data processing, aiming to understand how the data were collected, stored, pre-processed, and analyzed, to compare various methods, and to select feasible solutions for further research. Several algorithms and data types are considered, finding that clustering, classification, correlation, anomaly detection, and prediction algorithms are frequently used. As expected, the data is of several types, ranging from sensor data to images. It is a considerable challenge, although several algorithms work very well, such as Long Short-Term Memory (LSTM) for timeseries prediction and classification. © 2024, The Author(s).
Author Keywords	Big data; Resources consumption; Smart city

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