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Enabling Machine Learning Applications in Data Science

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Cover of 'Enabling Machine Learning Applications in Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Who Is Typing? Automatic Gender Recognition from Interactive Textual Chats Using Typing Behaviour
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    Chapter 2 An Efficient Framework to Build Up Heart Sounds and Murmurs Datasets Used for Automatic Cardiovascular Diseases Classifications
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    Chapter 3 Facial Recognition and Emotional Expressions Over Video Conferencing Based on Web Real Time Communication and Artificial Intelligence
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    Chapter 4 Recent Advances in Intelligent Imaging Systems for Early Prediction of Colorectal Cancer: A Perspective
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    Chapter 5 Optimal Path Schemes of Mobile Anchor Nodes Aided Localization for Different Applications in IoT
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    Chapter 6 Artificial Intelligence in 3D Printing
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    Chapter 7 Finding Suitable Threshold for Support in Apriori Algorithm Using Statistical Measures
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    Chapter 8 Optimum Voltage Sag Compensation Strategies Using DVR Series with the Critical Loads
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    Chapter 9 Robust Clustering Based Possibilistic Type-2 Fuzzy C-means for Noisy Datasets
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    Chapter 10 Wind Distributed Generation with the Power Distribution Network for Power Quality Control
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    Chapter 11 Implementation of Hybrid Algorithm for the UAV Images Preprocessing Based on Embedded Heterogeneous System: The Case of Precision Agriculture
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    Chapter 12 SLAM Algorithm: Overview and Evaluation in a Heterogeneous System
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    Chapter 13 Implementing big OLAP Cubes using a NoSQL-Based approach: Cube models and aggregation operators
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    Chapter 14 Multi-objective Quantum Moth Flame Optimization for Clustering
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    Chapter 15 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
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    Chapter 16 Rough Sets Crow Search Algorithm for Inverse Kinematics
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    Chapter 17 Machine Learning for Predicting Cancer Disease: Comparative Analysis
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    Chapter 18 Modeling and Performance Evaluation of LoRa Network Based on Capture Effect
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    Chapter 19 E_Swish Beta: Modifying Swish Activation Function for Deep Learning Improvement
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    Chapter 20 Online Arabic Handwriting Recognition Using Graphemes Segmentation and Deep Learning Recurrent Neural Networks
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    Chapter 21 On the Application of Real-Time Deep Neural Network for Automatic License Plate Reading from Sequence of Images Targeting Edge Artificial Intelligence Architectures
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    Chapter 22 Localization of Facial Images Manipulation in Digital Forensics via Convolutional Neural Networks
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    Chapter 23 Fire Detection and Suppression Model Based on Fusion of Deep Learning and Ant Colony
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    Chapter 24 Sentiment Analysis for E-Learning Counting on Neuro-Fuzzy and Fuzzy Ontology Classification
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    Chapter 25 Abnormal Behavior Forecasting in Smart Homes Using Hierarchical Hidden Markov Models
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    Chapter 26 The Classification Model Sentiment Analysis of the Sudanese Dialect Used Into the Internet Service in Sudan
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    Chapter 27 Implementing Blockchain in the Airline Sector
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    Chapter 28 Vehicular Networks Applications Based on Blockchain Framework
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Title
Enabling Machine Learning Applications in Data Science
Published by
Springer Singapore, January 2021
DOI 10.1007/978-981-33-6129-4
ISBNs
978-9-81-336128-7, 978-9-81-336129-4
Editors

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

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