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| Titolo: |
Cyber Security Intelligence and Analytics : The 6th International Conference on Cyber Security Intelligence and Analytics (CSIA 2024), Volume 1 / / edited by Zheng Xu, Saed Alrabaee, Octavio Loyola-González, Nurul Hidayah Ab Rahman
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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (XIV, 608 p. 189 illus., 141 illus. in color.) |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Engineering - Data processing | |
| Cooperating objects (Computer systems) | |
| Data protection | |
| Computational Intelligence | |
| Data Engineering | |
| Cyber-Physical Systems | |
| Data and Information Security | |
| Persona (resp. second.): | XuZheng |
| AlrabaeeSaed | |
| Loyola-GonzálezOctavio | |
| Ab RahmanNurul Hidayah | |
| Nota di contenuto: | Construction of a Comprehensive Safety Guarantee System for College Students Based on Digital Twin Technology -- Data Resource Value Evaluation Algorithm based on Fuzzy Theory and Catastrophe Series Method -- Comparative Study of ARIMA Model and Long Short Term Memory Network (LSTM) in Economic Management. |
| Sommario/riassunto: | This book delves into the latest advancements and innovations in big data analytics as applied to cyber-physical systems within smart city frameworks. Key themes include the integration of IoT, AI, and machine learning for enhanced urban management, sustainable development, and improved quality of life. The book showcases cutting-edge research, practical case studies, and expert insights, making it an invaluable resource for understanding the transformative potential of big data in creating smarter, more connected cities. Don't miss out on this authoritative guide to the future of smart city analytics. |
| Titolo autorizzato: | Cyber security intelligence and analytics ![]() |
| ISBN: | 3-031-88287-3 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910996488003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |