Amit Kumar Tyagi, PhD, is an assistant professor at the National Institute of Fashion Technology, New Delhi, India. He obtained his doctorate in 2018. He has published more than 200 papers in refereed international journals, conferences, and books, many of which are with the Wiley-Scrivener imprint. He has filed more than 25 national and international patents in deep learning, the Internet of Things, cyber-physical systems, and computer vision. His current research focuses on next-generation machine-based communications, blockchain technology, smart and secure computing, and privacy. Shrikant Tiwari, PhD, is an associate professor in the Department of Computer Science & Engineering, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh India. He obtained his doctorate in 2012. He has authored or co-authored more than 75 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Senthil Kumar Arumugam, PhD, is an assistant professor in the Professional Studies Department, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, India. He obtained his doctorate in 2014. He has received 9 awards. Avinash Kumar Sharma, PhD, is an associate professor in the Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India. He has published about 30 research articles in national/international conferences, journals, and book chapters, edited four books and has published four patents including one design patent.

• Preface xxiiiPart 1: Fundamentals of AI-Based Smart Manufacturing 11 Machine Learning Fundamentals 3Renugadevi A. S., R. Jayavadivel, Charanya J., Kaviya P. and Guhan R.2 Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare 19P. Nancy, S. Gnanavel, V. Sudha, G. Deepika and Mahmoud Elsisi3 Data Analytics and Big Data Analytics 39Neeta Nathani and Jagdeesh Kumar Ahirwar4 Artificial Intelligence Empowered Smart Manufacturing for Modern Society: A Review 55Amit Kumar Tyagi, Pooja Bhatt, Chidambaram N. and Shabnam Kumari5 Use Cases of Digital Twin in Smart Manufacturing 85Vijayakumar Ponnusamy, Dilliraj Ekambaram and Nemanja ZdravkovicPart 2: Methods and Applications 1036 Distributed Systems and Distributed Ledger Technology - An Introduction 105Amit Kumar Tyagi, Shrikant Tiwari and Kanchan Naithani7 Digital Twins Tools and Technologies in Smart Manufacturing 125K. Jayashree, S. Muralidharan, V. Sathya, M. Rajakumaran and C.M. Nalayini8 Blockchain Based Digital Twin for Smart Manufacturing 143Amit Kumar Tyagi, Shabnam Kumari, Richa and Utkarsh Kumar9 Blockchain for Internet of Things and Machine Learning-Based Automated Sectors 179Amit Kumar Tyagi, Shabnam Kumari and Shrikant Tiwari10 An Enhanced Threat Detection Model to Assist Supply Chain Management Using Artificial Intelligence 215Ambika N.11 Role of AI and Digital Twin in Smart Manufacturing 233M. Anand, T. M. Sheeba and C. Fancy12 Data Analytics and Visualization in Smart Manufacturing Using AI-Based Digital Twins 249M. Sivakumar, M. Maranco, N. Krishnaraj and U. Srinivasulu ReddyPart 3: Issues and Challenges Towards AI and Digital Twin-Based Smart Manufacturing 27913 The IoT of Robotics: The Frontier of Automation 281G. Rithik and A. Kathirvel14 Real-Time Monitoring and Predictive Maintenance 305R. Patel, S. Shah, S. Lella and A. Gajbahar15 Advanced Topics for Blockchain-Based Applications: Open Issues, Technical, Legal, and Research Challenges 325Amit Kumar Tyagi, Shabnam Kumari and Tanuj Surve16 Issues and Challenges in Implementing Smart Manufacturing in the Current Scenario 341Charanya J., Shrisudhan B., Sathruba P., Sharun P. and Prakash DuraisamyPart 4: Near-Future Developments Towards AI and Digital Twin-Based Smart Manufacturing 35917 Artificial Intelligence for Malware Analysis: A Systematic Study 361Amit Kumar Tyagi and Santosh Reddy Addula18 Artificial Intelligence-Based Cyber Security and Digital Forensics: A Review 391Amit Kumar Tyagi, Shabanm Kumari and Richa19 Blockchain Application in Industry 5.0 421D. Saveetha, Vijayakumar Ponnusamy, Nemanja Zdravković and Nandini S.M.20 Blockchain-Empowered Internet of Things (IoTs) Platforms for Automation in Various Sectors 443Santosh Reddy Addula, Amit Kumar Tyagi, Kanchan Naithani and Shabnam Kumari21 Digital Twin-Enabled Smart Manufacturing: Challenges and Future Directions 479M. Maranco, M. Sivakumar, N. Krishnaraj, Kashyapa Abhiram Ivaturi and Nidhya R.22 Future of Computer Vision and Industrial Robotics in Smart Manufacturing 505Santosh Reddy Addula and Amit Kumar Tyagi23 The Future of Manufacturing with AI and Data Analytics 541Neel Shah, Sneh Shah, Janvi Bhanushali, Nirav Bhatt, Nikita Bhatt and Hiren Mewada24 Artificial Intelligence Techniques in Predictive Maintenance, Their Applications, Challenges, and Prospects 565Akriti Rai, Jyotika shastri and Hina BansalIndex 581

Amit Kumar Tyagi, PhD, is an assistant professor at the National Institute of Fashion Technology, New Delhi, India. He obtained his doctorate in 2018. He has published more than 200 papers in refereed international journals, conferences, and books, many of which are with the Wiley-Scrivener imprint. He has filed more than 25 national and international patents in deep learning, the Internet of Things, cyber-physical systems, and computer vision. His current research focuses on next-generation machine-based communications, blockchain technology, smart and secure computing, and privacy. Shrikant Tiwari, PhD, is an associate professor in the Department of Computer Science & Engineering, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh India. He obtained his doctorate in 2012. He has authored or co-authored more than 75 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Senthil Kumar Arumugam, PhD, is an assistant professor in the Professional Studies Department, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, India. He obtained his doctorate in 2014. He has received 9 awards. Avinash Kumar Sharma, PhD, is an associate professor in the Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India. He has published about 30 research articles in national/international conferences, journals, and book chapters, edited four books and has published four patents including one design patent.

• Preface xxiiiPart 1: Fundamentals of AI-Based Smart Manufacturing 11 Machine Learning Fundamentals 3Renugadevi A. S., R. Jayavadivel, Charanya J., Kaviya P. and Guhan R.2 Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare 19P. Nancy, S. Gnanavel, V. Sudha, G. Deepika and Mahmoud Elsisi3 Data Analytics and Big Data Analytics 39Neeta Nathani and Jagdeesh Kumar Ahirwar4 Artificial Intelligence Empowered Smart Manufacturing for Modern Society: A Review 55Amit Kumar Tyagi, Pooja Bhatt, Chidambaram N. and Shabnam Kumari5 Use Cases of Digital Twin in Smart Manufacturing 85Vijayakumar Ponnusamy, Dilliraj Ekambaram and Nemanja ZdravkovicPart 2: Methods and Applications 1036 Distributed Systems and Distributed Ledger Technology - An Introduction 105Amit Kumar Tyagi, Shrikant Tiwari and Kanchan Naithani7 Digital Twins Tools and Technologies in Smart Manufacturing 125K. Jayashree, S. Muralidharan, V. Sathya, M. Rajakumaran and C.M. Nalayini8 Blockchain Based Digital Twin for Smart Manufacturing 143Amit Kumar Tyagi, Shabnam Kumari, Richa and Utkarsh Kumar9 Blockchain for Internet of Things and Machine Learning-Based Automated Sectors 179Amit Kumar Tyagi, Shabnam Kumari and Shrikant Tiwari10 An Enhanced Threat Detection Model to Assist Supply Chain Management Using Artificial Intelligence 215Ambika N.11 Role of AI and Digital Twin in Smart Manufacturing 233M. Anand, T. M. Sheeba and C. Fancy12 Data Analytics and Visualization in Smart Manufacturing Using AI-Based Digital Twins 249M. Sivakumar, M. Maranco, N. Krishnaraj and U. Srinivasulu ReddyPart 3: Issues and Challenges Towards AI and Digital Twin-Based Smart Manufacturing 27913 The IoT of Robotics: The Frontier of Automation 281G. Rithik and A. Kathirvel14 Real-Time Monitoring and Predictive Maintenance 305R. Patel, S. Shah, S. Lella and A. Gajbahar15 Advanced Topics for Blockchain-Based Applications: Open Issues, Technical, Legal, and Research Challenges 325Amit Kumar Tyagi, Shabnam Kumari and Tanuj Surve16 Issues and Challenges in Implementing Smart Manufacturing in the Current Scenario 341Charanya J., Shrisudhan B., Sathruba P., Sharun P. and Prakash DuraisamyPart 4: Near-Future Developments Towards AI and Digital Twin-Based Smart Manufacturing 35917 Artificial Intelligence for Malware Analysis: A Systematic Study 361Amit Kumar Tyagi and Santosh Reddy Addula18 Artificial Intelligence-Based Cyber Security and Digital Forensics: A Review 391Amit Kumar Tyagi, Shabanm Kumari and Richa19 Blockchain Application in Industry 5.0 421D. Saveetha, Vijayakumar Ponnusamy, Nemanja Zdravković and Nandini S.M.20 Blockchain-Empowered Internet of Things (IoTs) Platforms for Automation in Various Sectors 443Santosh Reddy Addula, Amit Kumar Tyagi, Kanchan Naithani and Shabnam Kumari21 Digital Twin-Enabled Smart Manufacturing: Challenges and Future Directions 479M. Maranco, M. Sivakumar, N. Krishnaraj, Kashyapa Abhiram Ivaturi and Nidhya R.22 Future of Computer Vision and Industrial Robotics in Smart Manufacturing 505Santosh Reddy Addula and Amit Kumar Tyagi23 The Future of Manufacturing with AI and Data Analytics 541Neel Shah, Sneh Shah, Janvi Bhanushali, Nirav Bhatt, Nikita Bhatt and Hiren Mewada24 Artificial Intelligence Techniques in Predictive Maintenance, Their Applications, Challenges, and Prospects 565Akriti Rai, Jyotika shastri and Hina BansalIndex 581

Amit Kumar Tyagi, PhD, is an assistant professor at the National Institute of Fashion Technology, New Delhi, India. He obtained his doctorate in 2018. He has published more than 200 papers in refereed international journals, conferences, and books, many of which are with the Wiley-Scrivener imprint. He has filed more than 25 national and international patents in deep learning, the Internet of Things, cyber-physical systems, and computer vision. His current research focuses on next-generation machine-based communications, blockchain technology, smart and secure computing, and privacy. Shrikant Tiwari, PhD, is an associate professor in the Department of Computer Science & Engineering, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh India. He obtained his doctorate in 2012. He has authored or co-authored more than 75 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Senthil Kumar Arumugam, PhD, is an assistant professor in the Professional Studies Department, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, India. He obtained his doctorate in 2014. He has received 9 awards. Avinash Kumar Sharma, PhD, is an associate professor in the Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India. He has published about 30 research articles in national/international conferences, journals, and book chapters, edited four books and has published four patents including one design patent.

• Preface xxiiiPart 1: Fundamentals of AI-Based Smart Manufacturing 11 Machine Learning Fundamentals 3Renugadevi A. S., R. Jayavadivel, Charanya J., Kaviya P. and Guhan R.2 Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare 19P. Nancy, S. Gnanavel, V. Sudha, G. Deepika and Mahmoud Elsisi3 Data Analytics and Big Data Analytics 39Neeta Nathani and Jagdeesh Kumar Ahirwar4 Artificial Intelligence Empowered Smart Manufacturing for Modern Society: A Review 55Amit Kumar Tyagi, Pooja Bhatt, Chidambaram N. and Shabnam Kumari5 Use Cases of Digital Twin in Smart Manufacturing 85Vijayakumar Ponnusamy, Dilliraj Ekambaram and Nemanja ZdravkovicPart 2: Methods and Applications 1036 Distributed Systems and Distributed Ledger Technology - An Introduction 105Amit Kumar Tyagi, Shrikant Tiwari and Kanchan Naithani7 Digital Twins Tools and Technologies in Smart Manufacturing 125K. Jayashree, S. Muralidharan, V. Sathya, M. Rajakumaran and C.M. Nalayini8 Blockchain Based Digital Twin for Smart Manufacturing 143Amit Kumar Tyagi, Shabnam Kumari, Richa and Utkarsh Kumar9 Blockchain for Internet of Things and Machine Learning-Based Automated Sectors 179Amit Kumar Tyagi, Shabnam Kumari and Shrikant Tiwari10 An Enhanced Threat Detection Model to Assist Supply Chain Management Using Artificial Intelligence 215Ambika N.11 Role of AI and Digital Twin in Smart Manufacturing 233M. Anand, T. M. Sheeba and C. Fancy12 Data Analytics and Visualization in Smart Manufacturing Using AI-Based Digital Twins 249M. Sivakumar, M. Maranco, N. Krishnaraj and U. Srinivasulu ReddyPart 3: Issues and Challenges Towards AI and Digital Twin-Based Smart Manufacturing 27913 The IoT of Robotics: The Frontier of Automation 281G. Rithik and A. Kathirvel14 Real-Time Monitoring and Predictive Maintenance 305R. Patel, S. Shah, S. Lella and A. Gajbahar15 Advanced Topics for Blockchain-Based Applications: Open Issues, Technical, Legal, and Research Challenges 325Amit Kumar Tyagi, Shabnam Kumari and Tanuj Surve16 Issues and Challenges in Implementing Smart Manufacturing in the Current Scenario 341Charanya J., Shrisudhan B., Sathruba P., Sharun P. and Prakash DuraisamyPart 4: Near-Future Developments Towards AI and Digital Twin-Based Smart Manufacturing 35917 Artificial Intelligence for Malware Analysis: A Systematic Study 361Amit Kumar Tyagi and Santosh Reddy Addula18 Artificial Intelligence-Based Cyber Security and Digital Forensics: A Review 391Amit Kumar Tyagi, Shabanm Kumari and Richa19 Blockchain Application in Industry 5.0 421D. Saveetha, Vijayakumar Ponnusamy, Nemanja Zdravković and Nandini S.M.20 Blockchain-Empowered Internet of Things (IoTs) Platforms for Automation in Various Sectors 443Santosh Reddy Addula, Amit Kumar Tyagi, Kanchan Naithani and Shabnam Kumari21 Digital Twin-Enabled Smart Manufacturing: Challenges and Future Directions 479M. Maranco, M. Sivakumar, N. Krishnaraj, Kashyapa Abhiram Ivaturi and Nidhya R.22 Future of Computer Vision and Industrial Robotics in Smart Manufacturing 505Santosh Reddy Addula and Amit Kumar Tyagi23 The Future of Manufacturing with AI and Data Analytics 541Neel Shah, Sneh Shah, Janvi Bhanushali, Nirav Bhatt, Nikita Bhatt and Hiren Mewada24 Artificial Intelligence Techniques in Predictive Maintenance, Their Applications, Challenges, and Prospects 565Akriti Rai, Jyotika shastri and Hina BansalIndex 581