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عنوان
Enabling machine learning applications in data science :

پدید آورنده
Aboul Ella Hassanien, Ashraf Darwish, Sherine M. Abd El-Kader, Dabiah Ahmed Alboaneen, editors.

موضوع
Artificial intelligence, Congresses.,Machine learning, Congresses.,Artificial intelligence.,Machine learning.

رده
Q325
.
5

کتابخانه
کتابخانه مطالعات اسلامی به زبان های اروپایی

محل استقرار
استان: قم ـ شهر: قم

کتابخانه مطالعات اسلامی به زبان های اروپایی

تماس با کتابخانه : 32910706-025

9789813361294
9813361298
9789813361287
981336128X

bc10698

انگلیسی

Enabling machine learning applications in data science :
[Book]
proceedings of Arab Conference for Emerging Technologies 2020 /
Aboul Ella Hassanien, Ashraf Darwish, Sherine M. Abd El-Kader, Dabiah Ahmed Alboaneen, editors.

Singapore :
Springer,
2021.

1 online resource (392 p.).

Algorithms for intelligent systems

3.8 Cloud Service Platform.
Includes author index.

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
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
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
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
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
0
8
8
8
8

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.

Enabling Machine Learning Applications in Data Science
9789813361287

Artificial intelligence, Congresses.
Machine learning, Congresses.
Artificial intelligence.
Machine learning.

TEC009000
UYQ
UYQ

006
.
3/1
23

Q325
.
5

Abd El-Kader, Sherine Mohamed,1972-
Alboaneen, Dabiah Ahmed.
Darwish, Ashraf.
Hassanien, Aboul Ella.

International Conference on Enabling Machine Learning Applications in Data Science: Innovation Vision and Approach(1st :2020 :, Online)

20211217115238.0

 مطالعه متن کتاب 

[Book]
270410

Y

الاقتراح / اعلان الخلل

تحذیر! دقق في تسجیل المعلومات
ارسال عودة
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المكتبات هي المسؤولة عن صحة المعلومات كما أن الحقوق المعنوية للمعلومات متعلقة بها
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