Enabling machine learning applications in data science :
General Material Designation
[Book]
Other Title Information
proceedings of Arab Conference for Emerging Technologies 2020 /
First Statement of Responsibility
Aboul Ella Hassanien, Ashraf Darwish, Sherine M. Abd El-Kader, Dabiah Ahmed Alboaneen, editors.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2021.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (392 p.).
SERIES
Series Title
Algorithms for intelligent systems
GENERAL NOTES
Text of Note
3.8 Cloud Service Platform.
Text of Note
Includes author index.
CONTENTS NOTE
Text of Note
Intro -- Preface -- Contents -- About the Editors -- Part I Machine Learning and Intelligent Systems Applications -- 1 Who Is Typing? Automatic Gender Recognition from Interactive Textual Chats Using Typing Behaviour -- 1 Introduction -- 2 Background and Related Work -- 3 The Data -- 4 The Approach -- 4.1 Feature Extraction -- 4.2 Classification -- 5 Results and Discussion -- 5.1 Classification Results -- 5.2 Identification of Gender Makers -- 6 Conclusion -- References
Text of Note
2 An Efficient Framework to Build Up Heart Sounds and Murmurs Datasets Used for Automatic Cardiovascular Diseases Classifications -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Dataset Logical Structure -- 3.2 Mobile Application and Database Design -- 3.3 Composition Stethoscope -- 4 Conclusion -- References -- 3 Facial Recognition and Emotional Expressions Over Video Conferencing Based on Web Real Time Communication and Artificial Intelligence -- 1 Introduction -- 2 WebRTC -- 2.1 WebRTC Client-Side -- 2.2 WebRTC Server-Side -- 3 Machine Learning
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3 Static Unknown Nodes, Mobile Anchor Nodes Class -- 3.1 Mobile Anchor Paths -- 4 Comparative Analysis -- 5 Conclusions -- References -- 6 Artificial Intelligence in 3D Printing -- 1 Introduction -- 2 Background and Basic Concepts -- 2.1 Additive Manufacturing (AM) -- 2.2 Artificial Intelligence (AI) -- 2.3 Machine Learning (ML) -- 3 Artificial Intelligence Applications in 3D Printing -- 3.1 Original Printability Checker -- 3.2 Improvement by ML -- 3.3 Further Developments -- 3.4 Slicing Acceleration -- 3.5 Path Optimization -- 3.6 Further Developments -- 3.7 Service Platform and Evaluation
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3.1 Machine Learning Models Examples -- 3.2 Machine Learning Libraries Examples -- 4 Implementation -- 4.1 Network Topology -- 4.2 Deployment -- 4.3 Results and Observations -- 5 Conclusion and Future Work -- References -- 4 Recent Advances in Intelligent Imaging Systems for Early Prediction of Colorectal Cancer: A Perspective -- 1 Introduction -- 2 Epidemiology of Colorectal Cancer -- 2.1 Current Trends in Incidence and Mortality of Colorectal Cancer -- 2.2 Etiology of Colorectal Cancer -- 3 Medical Diagnostic Procedures for Screening of Colorectal Cancer
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4 Necessity for Early Prediction of Colorectal Cancer -- 5 Challenges in Early Detection of Colorectal Cancer -- 6 Analysis of Intelligent Medical Imaging Techniques for Early Detection of Colorectal Cancer -- 6.1 Collection of CRC Frames -- 6.2 Preprocessing -- 6.3 Intelligent Training Engine for Polyp Detection -- 6.4 Performance Evaluation -- 7 Discussion and Future Directions -- 8 Conclusion -- References -- 5 Optimal Path Schemes of Mobile Anchor Nodes Aided Localization for Different Applications in IoT -- 1 Introduction -- 2 Mobility Based Localization Model in WSN
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SUMMARY OR ABSTRACT
Text of Note
This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21-3 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science.
OTHER EDITION IN ANOTHER MEDIUM
Title
Enabling Machine Learning Applications in Data Science
International Standard Book Number
9789813361287
TOPICAL NAME USED AS SUBJECT
Artificial intelligence, Congresses.
Machine learning, Congresses.
Artificial intelligence.
Machine learning.
(SUBJECT CATEGORY (Provisional
TEC009000
UYQ
UYQ
DEWEY DECIMAL CLASSIFICATION
Number
006
.
3/1
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
Q325
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5
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Abd El-Kader, Sherine Mohamed,1972-
Alboaneen, Dabiah Ahmed.
Darwish, Ashraf.
Hassanien, Aboul Ella.
CORPORATE BODY NAME - PRIMARY RESPONSIBILITY
International Conference on Enabling Machine Learning Applications in Data Science: Innovation Vision and Approach(1st :2020 :, Online)