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Enabling AI Applications in Data Science

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Cover of 'Enabling AI Applications in Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Stochastic SPG with Minibatches
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    Chapter 2 The Human Mental Search Algorithm for Solving Optimisation Problems
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    Chapter 3 Reducing Redundant Association Rules Using Type-2 Fuzzy Logic
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    Chapter 4 Identifiability of Discrete Concentration Graphical Models with a Latent Variable
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    Chapter 5 An Automatic Classification of Genetic Mutations by Exploring Different Classifiers
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    Chapter 6 Towards Artificial Intelligence: Concepts, Applications, and Innovations
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    Chapter 7 In Depth Analysis, Applications and Future Issues of Artificial Neural Network
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    Chapter 8 Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture
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    Chapter 9 Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities
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    Chapter 10 Edge Detector-Based Hybrid Artificial Neural Network Models for Urinary Bladder Cancer Diagnosis
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    Chapter 11 Predicting Building-Related Carbon Emissions: A Test of Machine Learning Models
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    Chapter 12 Artificial Intelligence System for Breast Cancer Screening Based on Malignancy-Associated Changes in Buccal Epithelium
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    Chapter 13 The Role of Artificial Intelligence in Company’s Decision Making
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    Chapter 14 The Virtues and Challenges of Implementing Intelligent ‘Student-Success-Centered’ System
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    Chapter 15 Boosting Traditional Healthcare-Analytics with Deep Learning AI: Techniques, Frameworks and Challenges
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    Chapter 16 Factors Influencing Electronic Service Quality on Electronic Loyalty in Online Shopping Context: Data Analysis Approach
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    Chapter 17 IoT Sensor Data Analysis and Fusion
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    Chapter 18 Internet of Things Sensor Data Analysis for Enhanced Living Environments: A Literature Review and a Case Study Results on Air Quality Sensing
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    Chapter 19 Data Science and AI in IoT Based Smart Healthcare: Issues, Challenges and Case Study
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    Chapter 20 IoT Sensor Data Analysis and Fusion Applying Machine Learning and Meta-Heuristic Approaches
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    Chapter 21 Geo-Spatiotemporal Intelligence for Smart Agricultural and Environmental Eco-Cyber-Physical Systems
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    Chapter 22 SaveMeNow.AI: A Machine Learning Based Wearable Device for Fall Detection in a Workplace
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    Chapter 23 Fraud Detection in Networks
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    Chapter 24 Biomorphic Artificial Intelligence: Achievements and Challenges
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    Chapter 25 Medical Data Protection Using Blind Watermarking Technique
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    Chapter 26 An Artificial Intelligence Authentication Framework to Secure Internet of Educational Things
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    Chapter 27 A Malware Obfuscation AI Technique to Evade Antivirus Detection in Counter Forensic Domain
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    Chapter 28 An Artificial Intelligence Resiliency System (ARS)
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Title
Enabling AI Applications in Data Science
Published by
Springer International Publishing, November 2020
DOI 10.1007/978-3-030-52067-0
ISBNs
978-3-03-052066-3, 978-3-03-052067-0
Editors

Hassanien, Aboul-Ella, Taha, Mohamed Hamed N., Khalifa, Nour Eldeen M.

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