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Big Data Analysis and Deep Learning Applications : Proceedings of the First International Conference on Big Data Analysis and Deep Learning / / edited by Thi Thi Zin, Jerry Chun-Wei Lin



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Titolo: Big Data Analysis and Deep Learning Applications : Proceedings of the First International Conference on Big Data Analysis and Deep Learning / / edited by Thi Thi Zin, Jerry Chun-Wei Lin Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XIV, 386 p. 190 illus.)
Disciplina: 005
Soggetto topico: Computational intelligence
Computer vision
Data mining
Artificial intelligence
Computational Intelligence
Computer Vision
Data Mining and Knowledge Discovery
Artificial Intelligence
Persona (resp. second.): ZinThi Thi
LinJerry Chun-Wei
Nota di contenuto: Big data analysis -- Machine learning and applications -- Monitoring system by using image processing -- Conventional neural networks and its applications -- Information and communication -- Industrial information systems and applications.
Sommario/riassunto: This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities. .
Titolo autorizzato: Big Data Analysis and Deep Learning Applications  Visualizza cluster
ISBN: 981-13-0869-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484759203321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Intelligent Systems and Computing, . 2194-5365 ; ; 744