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

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...

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Bibliographic Details
Corporate Author:	International Conference on Enabling Machine Learning Applications in Data Science: Innovation Vision and Approach Online
Other Authors:	Hassanien, Aboul Ella, Darwish, Ashraf, Abd El-Kader, Sherine Mohamed, 1972-, Alboaneen, Dabiah Ahmed
Format:	eBook
Language:	English
Published:	Singapore : Springer, 2021.
Series:	Algorithms for intelligent systems.
Subjects:	Machine learning > Congresses. Artificial intelligence > Congresses. Artificial intelligence Machine learning proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès.
Online Access:	Click for online access

Table of Contents:

Part I. Machine Learning and Intelligent Systems Applications
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
Optimal Path Schemes of Mobile Anchor Nodes Aided Localization for Different Applications in IoT
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
Robust Clustering Based Possibilistic Type-2 Fuzzy C-means for Noisy Datasets
Wind Distributed Generation with the Power Distribution Network for Power Quality Control
Implementation of Hybrid Algorithm for the UAV Images Preprocessing Based on Embedded Heterogeneous System: The Case of Precision Agriculture
SLAM Algorithm: Overview and Evaluation in a Heterogeneous System
Implementing big OLAP Cubes using a NoSQL-Based approach: Cube models and aggregation operators
Multi-objective Quantum Moth Flame Optimization for Clustering
On Optimizing the Visual Quality of HASM-Based Streaming--The Study the Sensitivity of Motion Estimation Techniques for Mesh-Based Codecs in Ultra High Definition Large Format Real-Time Video Coding
Rough Sets Crow Search Algorithm for Inverse Kinematics
Machine Learning for Predicting Cancer Disease: Comparative Analysis
Part II. Deep Learning Applications
Modeling and Performance Evaluation of LoRa Network Based on Capture Effect
E_Swish Beta: Modifying Swish Activation Function for Deep Learning Improvement
Online Arabic Handwriting Recognition Using Graphemes Segmentation and Deep Learning Recurrent Neural Networks
On the Application of Real-Time Deep Neural Network for Automatic License Plate Reading from Sequence of Images Targeting Edge Artificial Intelligence Architectures
Localization of Facial Images Manipulation in Digital Forensics via Convolutional Neural Networks
Fire Detection and Suppression Model Based on Fusion of Deep Learning and Ant Colony
Part III. Blockchain Technology, Social and Smart Networks Applications
Sentiment Analysis for E-Learning Counting on Neuro-Fuzzy and Fuzzy Ontology Classification
Abnormal Behavior Forecasting in Smart Homes Using Hierarchical Hidden Markov Models
The Classification Model Sentiment Analysis of the Sudanese Dialect Used Into the Internet Service in Sudan
Implementing Blockchain in the Airline Sector
Vehicular Networks Applications Based on Blockchain Framework.

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

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