Smart Factories for Industry 5.0 Transformation (Hardcover)

Preface xi

1 Evolution of Industrial Revolution: Industry 5.0 and Beyond 1
S. Balamurugan and B. Surya

1.1 Brief History of Industrial Revolution 1

1.2 Acknowledgement 4

1.3 Bibliography and Further Reading 4

2 Personalized Healthcare Transformation via Novel Era of Artificial Intelligence-Based Heuristic Concept 5
S. Pradeep, R. Sathish Kumar, M. Jagadesh and A. Karthikeyan

2.1 Introduction 7

2.2 Literature Survey 9

2.3 Digitization, Data Sources, and AI in Healthcare 13

2.4 AI Mainstreaming in Healthcare 15

2.5 Current Status, Integration, and Obstacles to the Usage of Personalized Healthcare Transformation 17

2.6 Prerequisites for Radical Transformation in Healthcare 25

2.7 Personalized Healthcare Transformation Using MSOM-Based TOA 29

2.8 Results 34

2.9 Conclusion 41

3 A Survey on Security in Data Transmission Using Wireless Communication Methods for IoT Edge Devices 45
V. Maruthi Prasad and B. Bharathi

3.1 Introduction 46

3.2 Literature Survey 47

3.3 Description of Data Protocols for IoT System 50

3.4 IoT Communication Parameters 59

3.5 Comparative of Communication Protocols for IoT Systems 64

3.6 Conclusion 67

4 Innovative Application of Conditional Deep Convolutional Generative Adversarial Networks to Enhance Chronic Kidney Disease Diagnosis with Uneven Datasets 71
Lakshmi Ramani Burra, Praveen Tumuluru, Janakiramaiah Bonam, S. Hrushikesava Raju, Sunanda Nalajala and Surya Prasada Rao Borra

4.1 Introduction 72

4.2 Literature Survey 76

4.3 Methodology 78

4.4 Result Analysis 83

4.5 Conclusion 85

5 A Comprehensive Hybrid Implicit and Explicit Item-Based Collaborative Filtering Approach with Bayesian Personalized Ranking for Enhancing Book Recommendations 89
Adidam Surekha, Radhika Gouni, Satya Keerthi Gorripati, Venubabu Rachapudi, S. Anjali Devi and Anupama Angadi

5.1 Introduction 90

5.2 Related Work 92

5.3 Methodology 95

5.4 Experimental Results and Analysis 99

5.5 Conclusion 102

6 An Efficient Cluster-Based Deep Learning Model for Multi-Attack Classification in IDS Across Diverse Datasets 105
Rajesh Bingu, G. Harsha Vardhan Reddy, U. Jyothi Naga Pavan, S. Sneha Sai Sri and N. V. Praveen Kumar

6.1 Introduction 106

6.2 Literature Survey 107

6.3 Proposed Model Design 110

6.4 Results and Discussion 115

6.5 Conclusion 118

7 Heart Failure Detection Through SMOTE for Augmentation and Machine Learning Approach for Classification 123
G. Kiran Kumar, Anila M., Naga Raju Hari Manikyam, Venkata Nagaraju Thatha, R. Vijaya Kumar Reddy and Krishna Reddy Papana

7.1 Introduction 124

7.2 Literature Survey 125

7.3 Proposed Methodology 126

7.4 Results and Discussion 128

7.5 Conclusion 132

8 Optimal Power Allocation in Cognitive Radio Networks Using Teaching-Learning-Based Optimization 135
N. Lakshman Pratap, N. Sunanda and V. Suryanarayana Reddy

8.1 Introduction 136

8.2 Teaching-Learning-Based Optimization 137

8.3 Proposed Power Allocation Algorithm 140

8.4 Numerical Results 143

8.5 Conclusion 145

9 Using Historical Pattern Matching and Natural Language Processing in a Hybrid Approach for Stock Market 147
K. Sri Niharika, C.H. Srisai Naga Satya Mani Pavan, T. Baby Aparna, Dinesh Kumar Anguraj, S. Saathvik and Hari Kiran Vege

9.1 Introduction 148

9.2 Literature Review 149

9.3 Methodology 153

9.4 Data Sources and Collection 156

9.5 Experimental Setup 158

9.6 Discussion 160

9.7 Results 161

9.8 Conclusion 163

10 An Intelligent Framework for IoT-Based Health Care Monitoring Using Fuzzy-Supported Machine Learning Algorithm 167
Mohanapriya M., Bharanidharan R., R. Santhosh and R. Reshma

10.1 Introduction 168

10.2 Literature Analysis 170

10.3 Integrated IoT-Based Healthcare Decision Making Model Using Machine Learning (IHM-ML) 172

10.4 Result and Discussion 180

10.5 Conclusion and the Future Scope 184

11 Design Strategy for Narrowband Internet of Things with Its Scope and Challenges of Security Solutions 187
R. Reshma, N. Mohanasundaram and R. Santhosh

11.1 Prologue Study 188

11.2 Fundamentals of NB-IoT Network Design 190

11.3 Security Challenges and Vulnerabilities in NB-IoT Systems 216

11.4 Scope of Machine Intelligence in NB-IoT Security 218

11.5 Conclusion and the Future Scope 220

12 Machine Learning in Healthcare: Unlocking Precision Diagnosis and Continuous Monitoring Through Voice Analysis 229
Smilarubavathy G., Keerthana S. M., Nidhya R., Thanga Priscilla and Pavithra D.

12.1 Introduction 230

12.2 Background 232

12.3 Methodology 232

12.4 Results 242

12.5 Discussion 243

13 Introduction of Advanced and Improved Transposition Algorithm 247
Dipesh Kumar, Nirupama Mandal and Yugal Kumar

13.1 Introduction 248

13.2 Literature Study 249

13.3 Implementation 257

13.4 Result 264

13.5 Conclusion and Future Direction 266

14 Performance Evaluation of Children at Risk for Schizophrenia Using Ensemble Learning 269
Rathiya R., Kalamani M., Narmadha R. P., Sreenivasa Perumal L. and Kalpana R.

14.1 Introduction 270

14.2 Literature Review 271

14.3 Methodology 274

14.4 Performance Analysis 276

14.5 Result Analysis 279

14.6 Conclusion 279

14.7 Future Work 280

15 Advanced Aquaculture Management: A Smart System for Optimizing Oxygen Levels, Shrimp Health Monitoring 283
Prathyusha Kuncha, J. Manoranjini, Sirisha J., Suneetha Bandeela, Naveen Kumar Penjarla and Simhadri Subhash Goud

15.1 Introduction 284

15.2 Literature Survey 286

15.3 System Model 288

15.4 Results and Discussion 292

15.5 Conclusion 296

16 Farming Revolution: Precision Agriculture and IoT for Sustainable Growth 299
Arepalli Gopi, Sudha L. R. and Iwin Thanakumar Joseph S.

16.1 Introduction 300

16.2 Data Storage and Analysis on Cloud Data 304

16.3 Architecture IoT with Agriculture 306

16.4 Results and Performance Validation 311

16.5 Conclusion 317

17 Comparative Analysis of the Identification and Categorization of the Malaria Parasite Employing Recent Amalgamated Machine Learning Methodologies 321
Tamal Kumar Kundu, Dinesh Kumar Anguraj, R. Nidhya and V. Maruthi Prasad

Introduction 322

17. Dataset Acquisition 325

17.2 Methodology 325

17.3 Literature Survey 326

17.4 Methodology 328

17.5 Results and Discussion 328

17.6 Conclusion 332

References 334

Index 337