Enabling Machine Learning Applications in Data Science : Proceedings of Arab Conference for Emerging Technologies 2020

Enabling Machine Learning Applications in Data Science : Proceedings of Arab Conference for Emerging Technologies 2020 edited by Aboul Ella Hassanien, Ashraf Darwish, Sherine M. Abd El-Kader, Dabiah Ahmed Alboaneen. - First edition 2021 - 1 recurso en línea (XII, 404 páginas) 215 ilustraciones, 138 ilustraciones a color - Algorithms for Intelligent Systems 2524-7573 Intelligent Technologies and Robotics (SpringerNature-42732) Intelligent Technologies and Robotics (R0) (SpringerNature-43728) .

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.

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.

9789813361294

10.1007/978-981-33-6129-4 doi


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Q325.5 / 2021 EB