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The International Conference on Deep...

Awan, Irfan.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)/ edited by Irfan Awan ... [et al.].
remainder title:	Deep-BDB 2021
other author:	Awan, Irfan.
corporate name:	International Conference on Deep Learning, Big Data and Blockchain
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xi, 175 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Machine learning - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-84337-3
ISBN:	9783030843373

The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)[electronic resource] /Deep-BDB 2021edited by Irfan Awan ... [et al.]. - Cham :Springer International Publishing :2022. - xi, 175 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 3092367-3389 ;. - Lecture notes in networks and systems ;v. 309..

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.

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.

ISBN: 9783030843373

Standard No.: 10.1007/978-3-030-84337-3doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .I58 2021

Dewey Class. No.: 006.31

The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
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505 0 $a 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.
520 $a 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.
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