Enabling Machine Learning Applications in Data Science : Proceedings of Arab Conference for Emerging Technologies 2020 (Algorithms for Intelligent Systems)

Hassanien, Aboul Ella (EDT)/ Darwish, Ashraf (EDT)/ Abd El-Kader, Sherine M. (EDT)

Springer Verlag, Singapore（2022/05発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 404 p.
• 言語 ENG
• 商品コード 9789813361317
• DDC分類 005.7

Full Description

This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21-23 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.

 

Contents

Who is Typing - Automatic Gender Recognition from Interactive Textual Chats Using Typing Behaviour.- An Efficient Framework to Build up Heart Sounds and Murmurs Datasets Used for Automatic Cardiovascular Diseases Classifications.- Facial Recognition and Emotional Expressions Over Video Conferencing Based on Web Real Time Communication and Artificial Intelligence.- Recent Advances in Intelligent Imaging Systems for Early Prediction of Colorectal Cancer: A Perspective.- A Survey on Phishing Attacks Detected by Different Machine Learning Techniques.- Artificial Intelligence in 3D Printing.- Finding Suitable Threshold for Support in Apriori Algorithm Using Statistical Measures.- Optimum Voltage Sag Compensation Strategies Using DVR Series with the Critical Loads.- Wind Distributed Generation with the Power Distribution Network for Power Quality Control.- Multi-objective Quantum Moth Flame Optimization for Clustering.- Rough Sets Crow Search Algorithm for Inverse Kinematics.