The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) / Irfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy, editors.
2022
Q325.5 .I58 2021
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Can lend chapters, not whole ebooks
Details
Title
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) / Irfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy, editors.
Meeting Name
International Conference on Deep Learning, Big Data and Blockchain (2nd : 2021 : Online)
ISBN
9783030843373 (electronic bk.)
3030843378 (electronic bk.)
9783030843366
303084336X
3030843378 (electronic bk.)
9783030843366
303084336X
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color)
Other Standard Identifiers
10.1007/978-3-030-84337-3 doi
Call Number
Q325.5 .I58 2021
Dewey Decimal Classification
006.3/1
Summary
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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 19, 2021).
Added Author
Awan, Irfan, editor.
Benbernou, Salima, editor.
Younas, Muhammad (Senior lecturer in computer science), editor.
Aleksy, Markus, editor.
Benbernou, Salima, editor.
Younas, Muhammad (Senior lecturer in computer science), editor.
Aleksy, Markus, editor.
Series
Lecture notes in networks and systems ; v. 309. 2367-3370
Available in Other Form
International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021).
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Online Access
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Table of Contents
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.
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.