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2.1 Cyber-physical system architecture.Figure 2.2 Integration of ML with HiLCPS.Figure 2.3 Machine learning algorithms with CPS.Figure 2.4 Number of publications for ML, IoT, and Big-Data with year wise.Figure 2.5 Number of machine learning algorithms proposed with CPS.Figure 2.6 Distinguish approaches with CPS.Figure 2.7 Applications of ML with CPS.Figure 2.8 Applications of ML, IoT and Big data with CPS.Figure 2.9 K-NN evaluation factors.Figure 2.10 SVM evaluation factors.Figure 2.11 RF evaluation factors.Figure 2.12 DT evaluation factors.Figure 2.13 MLP evaluation factors.Figure 2.14 NB evaluation factors.Figure 2.15 LR evaluation factors.Figure 2.16 Big Data evaluation factors.Figure 2.17 IoT evaluation factors.

      3 Chapter 3Figure 3.1 Conceptual Design of lighting system and camera position.Figure 3.2 Thumb tip inserting part.Figure 3.3 Completed prototype.Figure 3.4 Proposed methodology.Figure 3.5 Procedure of supervised machine learning.Figure 3.6 With a green LED.Figure 3.7 With a yellow LED.Figure 3.8 With an orange LED.Figure 3.9 With a blue LED.Figure 3.10 With a red LED.Figure 3.11 With a white super bright LED.Figure 3.12 Flow chart of convolutional neural network.

      4 Chapter 4Figure 4.1 AI services-based Microsoft Interface.Figure 4.2 Incorporating AI services into Microsoft Azure.Figure 4.3 IBM Watson technology.Figure 4.4 Evolution of computing towards cognitive.Figure 4.5 NLG/NLU subset of NLP.Figure 4.6 Natural language processing.Figure 4.7 Knowledge representation design.

      5 Chapter 5Figure 5.1 Analyzing efficiency in parking [16].Figure 5.2 Different parking models presentation [2].Figure 5.3 Preprocess the input frame and generate detecting patches [13].Figure 5.4 System diagram.Figure 5.5 Steps of usability testing.

      6 Chapter 6Figure 6.1 Components of Smart Factory.Figure 6.2 Relationship between cyber and physical layer integration.Figure 6.3 Transport system using CPS components.Figure 6.4 CPS Industrial interface.Figure 6.5 ECG Connection Interface using CPS.Figure 6.6 Clinical infrastructure using CPS.Figure 6.7 Agriculture interface using CPS.Figure 6.8 Road management using CPS.

      7 Chapter 7Figure 7.1 Evolution of cognitive computing [6].Figure 7.2 The system architecture of cognitive computing.Figure 7.3 Perceptual and rational method to recognize a square. (a) Rational me...

      8 Chapter 9Figure 9.1 Layered Architecture of Cognitive Computing [2].Figure 9.2 Taxonomy of Text Media.Figure 9.3 Knowledge Representation of data for Tic-Tac-Toe game along with rule...Figure 9.4(a) Washing Machine Diagnostics & Repair when is doesn’t Drain.Figure 9.4(b) Washing Machine Diagnostics & Repair when is doesn’t Spin.Figure 9.4(c) Washing Machine Diagnostics & Repair when Water Flow is Slow.

      9 Chapter 10Figure 10.1 Bloch Sphere which represents the Q-bit.Figure 10.2 Basic meta-heuristics solution approach.Figure 10.3 Quantum meta-heuristics solution approach.Figure 10.4 Quantum inspired meta-heuristic methods.Figure 10.5 Basic quantum meta-heuristics genetic evolution approach for image s...Figure 10.6 Airside specific operations & implementations with quantum meta-heur...

      10 Chapter 11Figure 11.1 An IoT framework for healthcare monitoring systems [10].Figure 11.2 Hype cycle for the IoT, 2019. Source: Gartner (July 2019).Figure 11.3 Architecture of IoT-based secure system for medical data transfer.Figure 11.4 IoT network architecture for above hospitals [28].

      11 Chapter 12Figure 12.1 System architecture.Figure 12.2 Encoding in Reed–Solomon codes.Figure 12.3 Encoding in regeneration codes.Figure 12.4 Decoding in Reed–Solomon codes.Figure 12.5 Decoding in regeneration codes.Figure 12.6 Repair in Reed–Solomon codes.Figure 12.7 Repair in regeneration codes.Figure 12.8 Creating containers for data.Figure 12.9 Chunking input file.Figure 12.10 XOR-chunked files.Figure 12.11 Regeneration of file from select nodes.Figure 12.12 Installing NC-cloud.Figure 12.13 Working with NC-cloud.Figure 12.14 Output of distributed chunks.Figure 12.15 An input file and temp folders.Figure 12.16 Executing the file.Figure 12.17 Time for the upload operation.Figure 12.18 Time for the repair operation.Figure 12.19 Time for check operation.Figure 12.20 Time for download operation.

      List of Table

      1 Chapter 1Table 1.1 Different types of analytics and their examples [11].Table 1.2 Examples of cognitive application domains [11].Table 1.3 Question–response pairs for different types of users.Table 1.4 Sample questions to train the application [11].Table 1.5 Sample of Welltok question/answer pairs [11].

      2 Chapter 2Table 2.1 Various applications in CPS using K-NN.Table 2.2 Various applications in CPS using SVM.Table 2.3 Different metrics in RF.Table 2.4 Various applications in CPS using decision trees.Table 2.5 Different applications in CPS using linear regression.Table 2.6 Various applications in CPS using multi-layer perceptron.Table 2.7 Various applications in CPS using Naïve Bayes.Table 2.8 Role of IoT in CPS.Table 2.9 Big data in cyber-physical system.

      3 Chapter 5Table 5.1 Used tools.Table 5.2 Test results for parking space detection.

      4 Chapter 9Table 9.1 Features of Cloud Deployment Models for building Cognitive Systems.Table 9.2 Concept Mapping Representation of Cloud Service Models.Table 9.3 Features of Text Analytics Covered by the Top Cloud Service Providers.

      5 Chapter 10Table 10.1 Quantum computing influenced domain areas with applications and devel...Table 10.2 Quantum meta-heuristics methods and application area.

      6 Chapter 11Table 11.1 IoT in healthcare scr [6].

      7 Chapter 12Table 12.1 High availability and integrity layer.Table 12.2 Functional minimum storage regenerating.

      Guide

      1  Cover

      2  Table of Contents

      3  Title Page

      4  Copyright

      5  Dedication

      6  Preface

      7  Acknowledgments

      8  Begin Reading

      9  Index

      10  End User License Agreement

      Pages

      1  vii

      2  ii

      3  iii

      4  iv

      5  v

      6 

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