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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 / / edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma



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Titolo: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 / / edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (1169 pages)
Disciplina: 006.31
Soggetto topico: Engineering - Data processing
Cooperating objects (Computer systems)
Computational intelligence
Big data
Artificial intelligence
Data Engineering
Cyber-Physical Systems
Computational Intelligence
Big Data
Artificial Intelligence
Persona (resp. second.): MacintyreJohn
ZhaoJinghua
MaXiaomeng
Note generali: Includes index.
Nota di contenuto: Application of Artificial Intelligence in Arrangement Creation -- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++ -- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition -- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development -- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures -- Application of Artificial Intelligence Technology in English Online Learning Platform -- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine -- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era -- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field -- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology -- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- Application of 3D Computer Aided System in Dance Creation and Learning -- Data Selection and Machine Learning Algorithm Application under the Background of Big Data. .
Sommario/riassunto: This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
Titolo autorizzato: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy  Visualizza cluster
ISBN: 3-030-89508-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910523725603321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes on Data Engineering and Communications Technologies, . 2367-4520 ; ; 97