Preface xix -- 1 Toward a Smarter Future: The Role of AI in Transforming Automation Systems 1 Manish Kumar Singla, Rupali Gill, Ramesh Kumar, Jyoti Gupta and Gaurav Sharma -- 1.1 Introduction 1 -- 1.2 The Power of AI in IAS 3 -- 1.3 Transforming Automation: A Multifaceted Impact 4 -- 1.4 Benefits and Impact of IAS 6 -- 1.5 The Spectrum of Applications: From Manufacturing to Beyond 7 -- 1.6 Challenges and Considerations 8 -- 1.7 Strategies for Mitigating Negative Impacts 10 -- 1.8 Ethical Considerations of IAS 11 -- 1.9 Discussion 12 -- 1.10 Conclusion 13 -- References 14 -- 2 Industry 5.0: Mapping the Lens from Know How to Realization 17 Upinder Kumar, Mahender Singh Kaswan and Rakesh Kumar -- 2.1 Introduction 17 -- 2.2 Basic Principles of Industry 5.0 19 -- 2.3 Technologies and Their Roles in Industry 5.0 20 -- 2.4 Operator 5.0 31 -- 2.5 Education 5.0 33 -- 2.6 Industry 5.0 and Sustainability 36 -- 2.7 Conclusion 37 -- References 38 -- 3 Intelligent Automation System Integration in Mobile and Industrial Robotics for Enhanced Performance and Efficiency 47 Abdullah Bin Queyam, Ramesh Kumar, Anupma Gupta and Vipin Kumar -- 3.1 Introduction 47 -- 3.2 Industrial Robotics 49 -- 3.3 Anthropomorphic Robot: Bridging the Gap Between Humans and Machines 49 -- 3.4 Case Study 54 -- 3.5 Conclusion 72 -- References 72 -- 4 Automation of Data Flow Management Based on Artificial Intelligence in Systems with an Internal Distribution Mechanism 75 A.E. Rashidov, A.R. Akhatov, F.M. Nazarov and I.N. Turakulov -- 4.1 Introduction 75 -- 4.2 Methodology 83 -- 4.3 Results 93 -- 4.4 Discussion 96 -- 4.5 Conclusion 97 -- References 97 -- 5 Robotic Process Automation (RPA) and Virtual Reality Implementation in Engineering Education 103 Jabar H. Yousif , Ahmad Kayed and Maryam G. Aljabri -- 5.1 Introduction 103 -- 5.2 Ethical Factors 105 -- 5.3 Research Design 106 -- 5.4 Research Questions 107 -- 5.5 Experimental Design 108 -- 5.6 Results and Discussion 110 -- 5.7 Conclusion 115 -- References 116 -- 6 Ethical Issues of Intelligent Automation Systems 119 V. Punitha, R. Sivanesan, P. Sharmila and G. Nithyakala -- 6.1 Introduction 119 -- 6.2 Intelligent Automation Systems 123 -- 6.3 The Ethical Implications of Intelligent Automation Systems 127 -- 6.4 Case Studies of Ethical Issues in IAS Decision-Making 135 -- 6.5 Environmental Impacts of IAS 139 -- 6.6 Existing Ethical Frameworks of IAS 140 -- 6.7 Conclusion 141 -- References 141 -- 7 IAS and Facial Recognition System 145 Ritu, Yogesh Shahare, Dinesh Singh Dhakar and Ritu Jain -- 7.1 Introduction 145 -- 7.2 Literature Review 146 -- 7.3 Understanding Intelligent Automation Systems (IASs) 148 -- 7.4 Advancements in Facial Recognition Technology 150 -- 7.5 Integration with Intelligent Automation Systems 153 -- 7.6 Challenges and Limitations 155 -- 7.7 Future Prospects and Emerging Trends 157 -- 7.8 Security and Surveillance Applications 158 -- 7.9 Ethical and Societal Implications 159 -- 7.10 Conclusion 160 -- References 161 -- 8 An Image Synthesis Using Progressive Generative Adversarial Networks (PGANs) 163 Ajay Pal Singh, Parvez Rahi and Vinod Kumar -- 8.1 Introduction 163 -- 8.2 How Does GAN Work? 165 -- 8.3 The Birth of GANs: Recognizing the Need for Adversarial Frameworks 167 -- 8.4 Proposed Solutions 168 -- 8.5 Deep Learning Structures 172 -- 8.6 Analysis and Feature Finalization Subject to Constraints 173 -- 8.7 Design Flow 174 -- 8.8 The Comprehensive Design Flows 176 -- 8.9 Principal Results 178 -- 8.10 Training Stability 179 -- 8.11 GAN Applications 180 -- 8.12 Conclusion 181 -- References 181 -- 9 Future Direction in Sign Language Recognition: A Review 185 Nidhi Goel, Lekha Rani and Pradeepta Kumar Sarangi -- 9.1 Introduction 185 -- 9.2 Sign Languages Around the World 187 -- 9.3 Sign Language Linguistics 192 -- 9.4 Motivation 193 -- 9.5 Objective 193 -- 9.6 Related Work 194 -- 9.7 Approaches 196 -- 9.8 Proposed Methodology 198 -- 9.9 Conclusion and Future Scope 200 -- References 201 -- 10 Understanding Computer Vision for Intelligent Autonomous Systems 203 Summiya Parveen and Aruna Tomar -- 10.1 Introduction 203 -- 10.2 Fundamentals of Computer Vision 205 -- 10.3 Applications of Computer Vision in IAS 210 -- 10.4 Challenges and Emerging Techniques 217 -- 10.5 Future Directions and Conclusion 221 -- References 222 -- 11 Computer Vision and Artificial Intelligence for Intelligence Automation Systems (IAS) 227 Dharmendra Dangi, Vaibhav Suman, Amit Bhagat and Dheeraj Kumar Dixit -- 11.1 Introduction 227 -- 11.2 Artificial Intelligence 229 -- 11.3 Computer Vision 237 -- 11.4 Conclusion 242 -- 11.5 Future Scope 243 -- References 243 -- 12 Neural Network Approaches for Intelligent Decision-Making in Automation 247 S.Z. Rufai, Inam Ul Haq, H.A. Shah and Mir Abrar Fayaz -- 12.1 Introduction 247 -- 12.2 Role of Neural Networks in Modern Automation 248 -- 12.3 Fundamental Principles of Neural Networks 249 -- 12.4 Neural Network Architectures in Automation Systems 256 -- 12.5 Comparative Analysis of Different Architectures 261 -- 12.6 Neural Network Applications in Automation 263 -- 12.7 Training Strategies for Neural Networks 266 -- 12.8 Practical Considerations for Deployment 270 -- 12.9 Conclusion 273 -- References 273 -- 13 A Novel Approach for Object Detection Technique Using Deep Learning 277 Kumud Sachdeva and Rajan Sachdeva -- 13.1 Introduction 278 -- 13.2 Literature Survey 279 -- 13.3 Deep Learning Methods 281 -- 13.4 Deep Learning Models 284 -- 13.5 Experimental Results 287 -- 13.6 Conclusion and Future Scope 289 -- Bibliography 290 -- 14 Role of AI in Mental Health Care 295 Kala K.U., Prabhakaran Mathialagan, Solomon Jebaraj N.R. and Sambath Kumar S. -- 14.1 Introduction 295 -- 14.2 Significance of Addressing Mental Health Challenges 296 -- 14.3 Prevalent Mental Health Disorders 298 -- 14.4 Impact of Mental Health on Physical Well-Being 299 -- 14.5 The Societal Implications of Mental Health Disorders 300 -- 14.6 Significance of Early Recognition of Mental Health Matters 302 -- 14.7 Strategies for the Early Recognition of Mental Health Challenges 303 -- 14.8 Role of Technology in Mental Health Care 304 -- 14.9 AI in Mental Health Care 305 -- 14.10 AI in Screening and Assessment of Mental Health Issues 306 -- 14.11 AI in Personalized Treatment Planning 307 -- 14.12 AI in Digital Therapeutic Interventions 310 -- 14.13 AI Chatbot’s and Virtual Assistants in Mental Health Care 313 -- 14.14 Data Analysis and Predictive Modeling in Mental Health Care 315 -- 14.15 AI in Mental Health Monitoring 317 -- 14.16 Conclusion and Future Work 320 -- References 321 -- 15 Application Areas of Computer Vision and AI in Intelligent Automation Systems 327 Vinod Kumar, Chander Prabha, Ajay Pal Singh and Raj Kumar -- 15.1 Introduction 327 -- 15.2 Advanced Techniques in CV and AI for IAS 328 -- 15.3 Why We Use AI in Research and Services Today 331 -- 15.4 The Association Across AI, ML, and dl 332 -- 15.5 Exploring Deep Learning and Neural Systems 333 -- 15.6 Delving into Deep Neural Networks’ Learning Approaches 334 -- 15.7 Rule-Based Modeling: A Cornerstone of AI Development 336 -- 15.8 The Role of Fuzzy Logic and Distributed Logic in AI 337 -- 15.9 AI and CV Technologies for Advancing Manufacturing Industries 338 -- 15.10 AI and CV Revolutionizing Healthcare Innovations 338 -- 15.11 Innovative Solutions for Agriculture and Environment 340 -- 15.12 Innovative Solutions for Retail and Consumer Goods 341 -- 15.13 Revolutionizing Transportation and Logistics with AI and cv 342 -- 15.14 Advancing AI through Case-Based Reasoning (CBR) 345 -- 15.15 Text Mining and NLP in IAS 346 -- 15.16 Exploring Artificial Intelligence Applications and Challenges 360 -- 15.17 Exploring Artificial Intelligence in Computer Vision Tasks 360 -- 15.18 Conclusion 362 -- References 362 -- 16 A Real-Time Speech-Text Conversion System Using Deep Learning Technique 371 K. Saranya and P.

Jeevananthan -- 16.1 Introduction 371 -- 16.2 Related Works 373 -- 16.3 Problem Definition 375 -- 16.4 System Specification 375 -- 16.5 Methodology and Flowchart 378 -- 16.6 Audio Conversion 380 -- 16.7 Results and Discussion 384 -- 16.8 Conclusion 386 -- References 387 -- 17 Transforming the Evaluation: The Crucial Role of Natural Language Processing in Intelligent Automation System 389 Pratibha, Bhavna Sharma, Sana Bharti, Susheela Hooda and Shilpi Harnal -- 17.1 Introduction 389 -- 17.2 Natural Language Processing (NLP) as the Foundation of Intelligent Automation 396 -- 17.3 Exploring Current Applications 397 -- 17.4 Future Directions for NLP in an Automated Environment 399 -- 17.5 Challenges and Opportunities 402 -- 17.6 Developing Talent: Cultivating Natural Language Processing Masters of Tomorrow 404 -- 17.7 Conclusion and Future Scope 404 -- References 404 -- 18 IAS and Its Impact in Neuroscience 407 G. Vijaya and K. Ramesh -- 18.1 Introduction 407 -- 18.2 Neuroscience 411 -- 18.3 Integration of Neuroscience with Intelligent Automation Systems (IAS) 412 -- 18.4 Cha ...