| Title |
A Machine Learning Methodology for Optimal Big Data Processing in Advanced Smart City Environments |
| ID_Doc |
38403 |
| Authors |
Cuzzocrea, A; Canade, L; Nicolicchia, R; Roldo, L |
| Title |
A Machine Learning Methodology for Optimal Big Data Processing in Advanced Smart City Environments |
| Year |
2023 |
| Published |
|
| DOI |
10.1007/978-3-031-36805-9_46 |
| Abstract |
This paper introduces a Machine Learning methodology for supporting optimal big data processing in advanced smart city environments. In particular, the proposed work focuses the attention on the issue of efficiently charging Electric Vehicles (EVs) in an urban area, given various specific constraints. Our preliminary evaluation and analysis proofs the quality of our heuristics. |
| Author Keywords |
Network Algorithms; Theory of Computing; Heuristic Algorithms |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001166618800046 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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