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Table of Contents
1 Cover
5 Preface
7 1 Introduction to Cognitive Computing 1.1 Introduction: Definition of Cognition, Cognitive Computing 1.2 Defining and Understanding Cognitive Computing 1.3 Cognitive Computing Evolution and Importance 1.4 Difference Between Cognitive Computing and Artificial Intelligence 1.5 The Elements of a Cognitive System 1.6 Ingesting Data Into Cognitive System 1.7 Analytics Services 1.8 Machine Learning 1.9 Machine Learning Process 1.10 Machine Learning Techniques 1.11 Hypothesis Space 1.12 Developing a Cognitive Computing Application 1.13 Building a Health Care Application 1.14 Advantages of Cognitive Computing 1.15 Features of Cognitive Computing 1.16 Limitations of Cognitive Computing 1.17 Conclusion References
8 2 Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges 2.1 Introduction 2.2 Cyber-Physical System Architecture 2.3 Human-in-the-Loop Cyber-Physical Systems (HiLCPS) 2.4 Machine Learning Applications in CPS 2.5 Use of IoT in CPS 2.6 Use of Big Data in CPS 2.7 Critical Analysis 2.8 Conclusion References
9 3 HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection 3.1 Introduction 3.2 Literature Review 3.3 Methodology 3.4 Results 3.5 Discussion 3.6 Originality and Innovativeness of the Research 3.7 Conclusion References
10 4 Advanced Cognitive Models and Algorithms 4.1 Introduction 4.2 Microsoft Azure Cognitive Model 4.3 IBM Watson Cognitive Analytics 4.4 Natural Language Modeling 4.5 Representation of Knowledge Models 4.6 Conclusion References
11 5 iParking—Smart Way to Automate the Management of the Parking System for a Smart City 5.1 Introduction 5.2 Background & Literature Review 5.3 Research Gap 5.4 Research Problem 5.5 Objectives 5.6 Methodology 5.7 Testing and Evaluation 5.8 Results 5.9 Discussion 5.10 Conclusion References
12 6 Cognitive Cyber-Physical System Applications 6.1 Introduction 6.2 Properties of Cognitive Cyber-Physical System 6.3 Components of Cognitive Cyber-Physical System
