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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

E-BookPDF1 - PDF WatermarkE-Book
175 Seiten
Englisch
Springer International Publishingerschienen am07.08.20211st ed. 2022
The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR192,59
E-BookPDF1 - PDF WatermarkE-Book
EUR181,89

Produkt

KlappentextThe role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.
Details
Weitere ISBN/GTIN9783030843373
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2021
Erscheinungsdatum07.08.2021
Auflage1st ed. 2022
Reihen-Nr.309
Seiten175 Seiten
SpracheEnglisch
IllustrationenXI, 175 p. 66 illus., 38 illus. in color.
Artikel-Nr.7133076
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1: This book covers machine learning and time series, blockchain technologies and applications, data security, deep learning and Internet of Thing.- Chapter 2: A three-step machine learning pipeline for detecting and explaining anomalies in the time series of industrial process plants.- Chapter 3: Detecting Phishing Websites using Neural Network and Bayes Classifier.- Chapter 4: A Blockchain Framework for On-demand Intermodal Interlining: Blocklining.- Chapter 5: Intersection of AI and Blockchain Technology: Concerns and Prospects.mehr

Autor