{"product_id":"handbook-of-intelligent-automation-systems-using-computer-vision-and-artificial-intelligence-hardback-9781394302673","title":"Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence (Hardback) 9781394302673","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eHandbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eRupali Gill (Edited by), Gill (Author), Susheela Hooda (Edited by), Durgesh Srivastava (Edited by), Shilpi Harnal (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394302673, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 28 July 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e544 pages\u003cbr\u003e28 x 19 x 2.5 cm, 1.039 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThe book is essential for anyone seeking to understand and leverage the transformative power of intelligent automation technologies, providing crucial insights into current trends, challenges, and effective solutions that can significantly enhance operational efficiency and decision-making within organizations.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eIntelligent automation systems, also called cognitive automation, use automation technologies such as artificial intelligence, business process management, and robotic process automation, to streamline and scale decision-making across organizations. Intelligent automation simplifies processes, frees up resources, improves operational efficiencies, and has a variety of applications. Intelligent automation systems aim to reduce costs by augmenting the workforce and improving productivity and accuracy through consistent processes and approaches, which enhance quality, improve customer experience, and address compliance and regulations with confidence. \u003ci\u003eHandbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence\u003c\/i\u003e explores the significant role, current trends, challenges, and potential solutions to existing challenges in the field of intelligent automation systems, making it an invaluable guide for researchers, industry professionals, and students looking to apply these innovative technologies. \u003c\/p\u003e\n\u003cp\u003eReaders will find the volume: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eOffers comprehensive coverage on intelligent automation systems using computer vision and AI, covering everything from foundational concepts to real-world applications and ethical considerations;\u003c\/li\u003e \u003cli\u003eProvides actionable knowledge with case studies and best practices for intelligent automation systems, computer vision, and AI;\u003c\/li\u003e \u003cli\u003eExplores the integration of various techniques, including facial recognition, natural language processing, neuroscience and neuromarketing.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAudience  \u003c\/p\u003e\n\u003cp\u003eThe book is designed for AI and data scientists, software developers and engineers in industry and academia, as well as business leaders and entrepreneurs who are interested in the applications of intelligent automation systems.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Toward a Smarter Future: The Role of AI in Transforming Automation Systems 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eManish Kumar Singla, Rupali Gill, Ramesh Kumar, Jyoti Gupta and Gaurav Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 The Power of AI in IAS 3\u003c\/p\u003e \u003cp\u003e1.3 Transforming Automation: A Multifaceted Impact 4\u003c\/p\u003e \u003cp\u003e1.4 Benefits and Impact of IAS 6\u003c\/p\u003e \u003cp\u003e1.5 The Spectrum of Applications: From Manufacturing to Beyond 7\u003c\/p\u003e \u003cp\u003e1.6 Challenges and Considerations 8\u003c\/p\u003e \u003cp\u003e1.7 Strategies for Mitigating Negative Impacts 10\u003c\/p\u003e \u003cp\u003e1.8 Ethical Considerations of IAS 11\u003c\/p\u003e \u003cp\u003e1.9 Discussion 12\u003c\/p\u003e \u003cp\u003e1.10 Conclusion 13\u003c\/p\u003e \u003cp\u003eReferences 14\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Industry 5.0: Mapping the Lens from Know How to Realization 17\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eUpinder Kumar, Mahender Singh Kaswan and Rakesh Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 17\u003c\/p\u003e \u003cp\u003e2.2 Basic Principles of Industry 5.0 19\u003c\/p\u003e \u003cp\u003e2.3 Technologies and Their Roles in Industry 5.0 20\u003c\/p\u003e \u003cp\u003e2.4 Operator 5.0 31\u003c\/p\u003e \u003cp\u003e2.5 Education 5.0 33\u003c\/p\u003e \u003cp\u003e2.6 Industry 5.0 and Sustainability 36\u003c\/p\u003e \u003cp\u003e2.7 Conclusion 37\u003c\/p\u003e \u003cp\u003eReferences 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Intelligent Automation System Integration in Mobile and Industrial Robotics for Enhanced Performance and Efficiency 47\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAbdullah Bin Queyam, Ramesh Kumar, Anupma Gupta and Vipin Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 47\u003c\/p\u003e \u003cp\u003e3.2 Industrial Robotics 49\u003c\/p\u003e \u003cp\u003e3.3 Anthropomorphic Robot: Bridging the Gap Between Humans and Machines 49\u003c\/p\u003e \u003cp\u003e3.4 Case Study 54\u003c\/p\u003e \u003cp\u003e3.5 Conclusion 72\u003c\/p\u003e \u003cp\u003eReferences 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Automation of Data Flow Management Based on Artificial Intelligence in Systems with an Internal Distribution Mechanism 75\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eA.E. Rashidov, A.R. Akhatov, F.M. Nazarov and I.N. Turakulov\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 75\u003c\/p\u003e \u003cp\u003e4.2 Methodology 83\u003c\/p\u003e \u003cp\u003e4.3 Results 93\u003c\/p\u003e \u003cp\u003e4.4 Discussion 96\u003c\/p\u003e \u003cp\u003e4.5 Conclusion 97\u003c\/p\u003e \u003cp\u003eReferences 97\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Robotic Process Automation (RPA) and Virtual Reality Implementation in Engineering Education 103\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJabar H. Yousif , Ahmad Kayed and Maryam G. Aljabri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 103\u003c\/p\u003e \u003cp\u003e5.2 Ethical Factors 105\u003c\/p\u003e \u003cp\u003e5.3 Research Design 106\u003c\/p\u003e \u003cp\u003e5.4 Research Questions 107\u003c\/p\u003e \u003cp\u003e5.5 Experimental Design 108\u003c\/p\u003e \u003cp\u003e5.6 Results and Discussion 110\u003c\/p\u003e \u003cp\u003e5.7 Conclusion 115\u003c\/p\u003e \u003cp\u003eReferences 116\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Ethical Issues of Intelligent Automation Systems 119\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eV. Punitha, R. Sivanesan, P. Sharmila and G. Nithyakala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 119\u003c\/p\u003e \u003cp\u003e6.2 Intelligent Automation Systems 123\u003c\/p\u003e \u003cp\u003e6.3 The Ethical Implications of Intelligent Automation Systems 127\u003c\/p\u003e \u003cp\u003e6.4 Case Studies of Ethical Issues in IAS Decision-Making 135\u003c\/p\u003e \u003cp\u003e6.5 Environmental Impacts of IAS 139\u003c\/p\u003e \u003cp\u003e6.6 Existing Ethical Frameworks of IAS 140\u003c\/p\u003e \u003cp\u003e6.7 Conclusion 141\u003c\/p\u003e \u003cp\u003eReferences 141\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 IAS and Facial Recognition System 145\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRitu, Yogesh Shahare, Dinesh Singh Dhakar and Ritu Jain\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 145\u003c\/p\u003e \u003cp\u003e7.2 Literature Review 146\u003c\/p\u003e \u003cp\u003e7.3 Understanding Intelligent Automation Systems (IASs) 148\u003c\/p\u003e \u003cp\u003e7.4 Advancements in Facial Recognition Technology 150\u003c\/p\u003e \u003cp\u003e7.5 Integration with Intelligent Automation Systems 153\u003c\/p\u003e \u003cp\u003e7.6 Challenges and Limitations 155\u003c\/p\u003e \u003cp\u003e7.7 Future Prospects and Emerging Trends 157\u003c\/p\u003e \u003cp\u003e7.8 Security and Surveillance Applications 158\u003c\/p\u003e \u003cp\u003e7.9 Ethical and Societal Implications 159\u003c\/p\u003e \u003cp\u003e7.10 Conclusion 160\u003c\/p\u003e \u003cp\u003eReferences 161\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 An Image Synthesis Using Progressive Generative Adversarial Networks (PGANs) 163\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAjay Pal Singh, Parvez Rahi and Vinod Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 163\u003c\/p\u003e \u003cp\u003e8.2 How Does GAN Work? 165\u003c\/p\u003e \u003cp\u003e8.3 The Birth of GANs: Recognizing the Need for Adversarial Frameworks 167\u003c\/p\u003e \u003cp\u003e8.4 Proposed Solutions 168\u003c\/p\u003e \u003cp\u003e8.5 Deep Learning Structures 172\u003c\/p\u003e \u003cp\u003e8.6 Analysis and Feature Finalization Subject to Constraints 173\u003c\/p\u003e \u003cp\u003e8.7 Design Flow 174\u003c\/p\u003e \u003cp\u003e8.8 The Comprehensive Design Flows 176\u003c\/p\u003e \u003cp\u003e8.9 Principal Results 178\u003c\/p\u003e \u003cp\u003e8.10 Training Stability 179\u003c\/p\u003e \u003cp\u003e8.11 GAN Applications 180\u003c\/p\u003e \u003cp\u003e8.12 Conclusion 181\u003c\/p\u003e \u003cp\u003eReferences 181\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Future Direction in Sign Language Recognition: A Review 185\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNidhi Goel, Lekha Rani and Pradeepta Kumar Sarangi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 185\u003c\/p\u003e \u003cp\u003e9.2 Sign Languages Around the World 187\u003c\/p\u003e \u003cp\u003e9.3 Sign Language Linguistics 192\u003c\/p\u003e \u003cp\u003e9.4 Motivation 193\u003c\/p\u003e \u003cp\u003e9.5 Objective 193\u003c\/p\u003e \u003cp\u003e9.6 Related Work 194\u003c\/p\u003e \u003cp\u003e9.7 Approaches 196\u003c\/p\u003e \u003cp\u003e9.8 Proposed Methodology 198\u003c\/p\u003e \u003cp\u003e9.9 Conclusion and Future Scope 200\u003c\/p\u003e \u003cp\u003eReferences 201\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Understanding Computer Vision for Intelligent Autonomous Systems 203\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSummiya Parveen and Aruna Tomar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 203\u003c\/p\u003e \u003cp\u003e10.2 Fundamentals of Computer Vision 205\u003c\/p\u003e \u003cp\u003e10.3 Applications of Computer Vision in IAS 210\u003c\/p\u003e \u003cp\u003e10.4 Challenges and Emerging Techniques 217\u003c\/p\u003e \u003cp\u003e10.5 Future Directions and Conclusion 221\u003c\/p\u003e \u003cp\u003eReferences 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Computer Vision and Artificial Intelligence for Intelligence Automation Systems (IAS) 227\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDharmendra Dangi, Vaibhav Suman, Amit Bhagat and Dheeraj Kumar Dixit\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 227\u003c\/p\u003e \u003cp\u003e11.2 Artificial Intelligence 229\u003c\/p\u003e \u003cp\u003e11.3 Computer Vision 237\u003c\/p\u003e \u003cp\u003e11.4 Conclusion 242\u003c\/p\u003e \u003cp\u003e11.5 Future Scope 243\u003c\/p\u003e \u003cp\u003eReferences 243\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Neural Network Approaches for Intelligent Decision-Making in Automation 247\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eS.Z. Rufai, Inam Ul Haq, H.A. Shah and Mir Abrar Fayaz\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 247\u003c\/p\u003e \u003cp\u003e12.2 Role of Neural Networks in Modern Automation 248\u003c\/p\u003e \u003cp\u003e12.3 Fundamental Principles of Neural Networks 249\u003c\/p\u003e \u003cp\u003e12.4 Neural Network Architectures in Automation Systems 256\u003c\/p\u003e \u003cp\u003e12.5 Comparative Analysis of Different Architectures 261\u003c\/p\u003e \u003cp\u003e12.6 Neural Network Applications in Automation 263\u003c\/p\u003e \u003cp\u003e12.7 Training Strategies for Neural Networks 266\u003c\/p\u003e \u003cp\u003e12.8 Practical Considerations for Deployment 270\u003c\/p\u003e \u003cp\u003e12.9 Conclusion 273\u003c\/p\u003e \u003cp\u003eReferences 273\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 A Novel Approach for Object Detection Technique Using Deep Learning 277\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKumud Sachdeva and Rajan Sachdeva\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 278\u003c\/p\u003e \u003cp\u003e13.2 Literature Survey 279\u003c\/p\u003e \u003cp\u003e13.3 Deep Learning Methods 281\u003c\/p\u003e \u003cp\u003e13.4 Deep Learning Models 284\u003c\/p\u003e \u003cp\u003e13.5 Experimental Results 287\u003c\/p\u003e \u003cp\u003e13.6 Conclusion and Future Scope 289\u003c\/p\u003e \u003cp\u003eBibliography 290\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Role of AI in Mental Health Care 295\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKala K.U., Prabhakaran Mathialagan, Solomon Jebaraj N.R. and Sambath Kumar S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 295\u003c\/p\u003e \u003cp\u003e14.2 Significance of Addressing Mental Health Challenges 296\u003c\/p\u003e \u003cp\u003e14.3 Prevalent Mental Health Disorders 298\u003c\/p\u003e \u003cp\u003e14.4 Impact of Mental Health on Physical Well-Being 299\u003c\/p\u003e \u003cp\u003e14.5 The Societal Implications of Mental Health Disorders 300\u003c\/p\u003e \u003cp\u003e14.6 Significance of Early Recognition of Mental Health Matters 302\u003c\/p\u003e \u003cp\u003e14.7 Strategies for the Early Recognition of Mental Health Challenges 303\u003c\/p\u003e \u003cp\u003e14.8 Role of Technology in Mental Health Care 304\u003c\/p\u003e \u003cp\u003e14.9 AI in Mental Health Care 305\u003c\/p\u003e \u003cp\u003e14.10 AI in Screening and Assessment of Mental Health Issues 306\u003c\/p\u003e \u003cp\u003e14.11 AI in Personalized Treatment Planning 307\u003c\/p\u003e \u003cp\u003e14.12 AI in Digital Therapeutic Interventions 310\u003c\/p\u003e \u003cp\u003e14.13 AI Chatbot’s and Virtual Assistants in Mental Health Care 313\u003c\/p\u003e \u003cp\u003e14.14 Data Analysis and Predictive Modeling in Mental Health Care 315\u003c\/p\u003e \u003cp\u003e14.15 AI in Mental Health Monitoring 317\u003c\/p\u003e \u003cp\u003e14.16 Conclusion and Future Work 320\u003c\/p\u003e \u003cp\u003eReferences 321\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Application Areas of Computer Vision and AI in Intelligent Automation Systems 327\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVinod Kumar, Chander Prabha, Ajay Pal Singh and Raj Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 327\u003c\/p\u003e \u003cp\u003e15.2 Advanced Techniques in CV and AI for IAS 328\u003c\/p\u003e \u003cp\u003e15.3 Why We Use AI in Research and Services Today 331\u003c\/p\u003e \u003cp\u003e15.4 The Association Across AI, ML, and dl 332\u003c\/p\u003e \u003cp\u003e15.5 Exploring Deep Learning and Neural Systems 333\u003c\/p\u003e \u003cp\u003e15.6 Delving into Deep Neural Networks’ Learning Approaches 334\u003c\/p\u003e \u003cp\u003e15.7 Rule-Based Modeling: A Cornerstone of AI Development 336\u003c\/p\u003e \u003cp\u003e15.8 The Role of Fuzzy Logic and Distributed Logic in AI 337\u003c\/p\u003e \u003cp\u003e15.9 AI and CV Technologies for Advancing Manufacturing Industries 338\u003c\/p\u003e \u003cp\u003e15.10 AI and CV Revolutionizing Healthcare Innovations 338\u003c\/p\u003e \u003cp\u003e15.11 Innovative Solutions for Agriculture and Environment 340\u003c\/p\u003e \u003cp\u003e15.12 Innovative Solutions for Retail and Consumer Goods 341\u003c\/p\u003e \u003cp\u003e15.13 Revolutionizing Transportation and Logistics with AI and cv 342\u003c\/p\u003e \u003cp\u003e15.14 Advancing AI through Case-Based Reasoning (CBR) 345\u003c\/p\u003e \u003cp\u003e15.15 Text Mining and NLP in IAS 346\u003c\/p\u003e \u003cp\u003e15.16 Exploring Artificial Intelligence Applications and Challenges 360\u003c\/p\u003e \u003cp\u003e15.17 Exploring Artificial Intelligence in Computer Vision Tasks 360\u003c\/p\u003e \u003cp\u003e15.18 Conclusion 362\u003c\/p\u003e \u003cp\u003eReferences 362\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 A Real-Time Speech-Text Conversion System Using Deep Learning Technique 371\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eK. Saranya and P. Jeevananthan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 371\u003c\/p\u003e \u003cp\u003e16.2 Related Works 373\u003c\/p\u003e \u003cp\u003e16.3 Problem Definition 375\u003c\/p\u003e \u003cp\u003e16.4 System Specification 375\u003c\/p\u003e \u003cp\u003e16.5 Methodology and Flowchart 378\u003c\/p\u003e \u003cp\u003e16.6 Audio Conversion 380\u003c\/p\u003e \u003cp\u003e16.7 Results and Discussion 384\u003c\/p\u003e \u003cp\u003e16.8 Conclusion 386\u003c\/p\u003e \u003cp\u003eReferences 387\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Transforming the Evaluation: The Crucial Role of Natural Language Processing in Intelligent Automation System 389\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePratibha, Bhavna Sharma, Sana Bharti, Susheela Hooda and Shilpi Harnal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 389\u003c\/p\u003e \u003cp\u003e17.2 Natural Language Processing (NLP) as the Foundation of Intelligent Automation 396\u003c\/p\u003e \u003cp\u003e17.3 Exploring Current Applications 397\u003c\/p\u003e \u003cp\u003e17.4 Future Directions for NLP in an Automated Environment 399\u003c\/p\u003e \u003cp\u003e17.5 Challenges and Opportunities 402\u003c\/p\u003e \u003cp\u003e17.6 Developing Talent: Cultivating Natural Language Processing Masters of Tomorrow 404\u003c\/p\u003e \u003cp\u003e17.7 Conclusion and Future Scope 404\u003c\/p\u003e \u003cp\u003eReferences 404\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 IAS and Its Impact in Neuroscience 407\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eG. Vijaya and K. Ramesh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 407\u003c\/p\u003e \u003cp\u003e18.2 Neuroscience 411\u003c\/p\u003e \u003cp\u003e18.3 Integration of Neuroscience with Intelligent Automation Systems (IAS) 412\u003c\/p\u003e \u003cp\u003e18.4 Challenges in Integrating IAS in Neuroscience Applications 414\u003c\/p\u003e \u003cp\u003e18.5 Application Areas of Neuroscience in Intelligent Automation Systems 415\u003c\/p\u003e \u003cp\u003e18.6 Conclusion 419\u003c\/p\u003e \u003cp\u003eReferences 419\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Intelligent Automation Systems (IAS) and Its Application in Neuroscience 423\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eBikram Kar and Amit Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 423\u003c\/p\u003e \u003cp\u003e19.2 Understanding Neurosciences 430\u003c\/p\u003e \u003cp\u003e19.3 How Neuroscience Can Help in Understanding Intelligent Automation Systems (IAS) 434\u003c\/p\u003e \u003cp\u003e19.4 Application Areas of Neuroscience in IAS 437\u003c\/p\u003e \u003cp\u003e19.5 Connecting IAS and Neuroscience 440\u003c\/p\u003e \u003cp\u003e19.6 Challenges and Future Directions 443\u003c\/p\u003e \u003cp\u003e19.7 Conclusion 445\u003c\/p\u003e \u003cp\u003eReferences 446\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 A Neuromarketing Framework for Data-Driven Intelligent Automation in Marketing 449\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJyoti Kesarwani, Himanshu Rai and Rahul Kesarwani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 449\u003c\/p\u003e \u003cp\u003e20.2 Literature Review 451\u003c\/p\u003e \u003cp\u003e20.3 Proposed Neuromarketing Framework 457\u003c\/p\u003e \u003cp\u003e20.4 Benefits and Applications of Neuromarketing 460\u003c\/p\u003e \u003cp\u003e20.5 Real-Time Campaign Optimization Using Biometric Feedback 462\u003c\/p\u003e \u003cp\u003e20.6 Mitigating Bias in AI Through Neuromarketing Data 464\u003c\/p\u003e \u003cp\u003e20.7 Other Potential Applications 465\u003c\/p\u003e \u003cp\u003e20.8 Conclusion 466\u003c\/p\u003e \u003cp\u003eReferences 467\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Neuroscience and Intelligent Automation System 471\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHarpreet Kaur and Pannem Shreya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction 471\u003c\/p\u003e \u003cp\u003e21.2 Intelligent Automation 473\u003c\/p\u003e \u003cp\u003e21.3 Technologies and Software Associated with IA Systems 474\u003c\/p\u003e \u003cp\u003e21.4 History of Developments in AI and Neuroscience 476\u003c\/p\u003e \u003cp\u003e21.5 Essential Technologies for Developing IAS 476\u003c\/p\u003e \u003cp\u003e21.6 Discoveries Related to Neuroscience 477\u003c\/p\u003e \u003cp\u003e21.7 Applications of Artificial Intelligence in Neuroscience 478\u003c\/p\u003e \u003cp\u003e21.8 Artificial Neural Network Versus Biological Neural Network 480\u003c\/p\u003e \u003cp\u003e21.9 Developments of Intelligent Automation Systems Models 481\u003c\/p\u003e \u003cp\u003e21.10 AI for Neuroscience Development 484\u003c\/p\u003e \u003cp\u003e21.11 Neuromarketing 487\u003c\/p\u003e \u003cp\u003e21.12 AI Inspired by Brain Science 488\u003c\/p\u003e \u003cp\u003e21.13 Current State 489\u003c\/p\u003e \u003cp\u003e21.14 Conclusion 490\u003c\/p\u003e \u003cp\u003eReferences 490\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22 Unveiling the Visual World Through AI-Powered Computer Vision 493\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSonia Kumari Shishodia, Shuchi Sharma, Eram Khan and Logesh Babu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22.1 Introduction 493\u003c\/p\u003e \u003cp\u003e22.2 The Human Eye Anatomy 494\u003c\/p\u003e \u003cp\u003e22.3 Key Techniques 503\u003c\/p\u003e \u003cp\u003e22.4 Applications of AI-Powered Computer Vision Across Industries 504\u003c\/p\u003e \u003cp\u003e22.5 Threat Detection and Monitoring in Surveillance and Security 506\u003c\/p\u003e \u003cp\u003e22.6 Trends and Future Directions in AI-Powered Computer Vision 506\u003c\/p\u003e \u003cp\u003e22.7 Conclusion 507\u003c\/p\u003e \u003cp\u003eReferences 507\u003c\/p\u003e \u003cp\u003eIndex 511\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433519640856,"sku":"9781394302673","price":182.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394302673.jpg?v=1784853427","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/handbook-of-intelligent-automation-systems-using-computer-vision-and-artificial-intelligence-hardback-9781394302673","provider":"Freshly Printed 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