The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. This handbook bridges the gap by presenting a comprehensive understanding of this fusion and its implications for the field. This book delves into the world of intelligent machines, revealing how they interact autonomously with their environment and adapt seamlessly to new situations. By harnessing the power of AI and ML, these smart devices can accomplish complex tasks such as traffic monitoring, speech recognition, face recognition, and automatic manufacturing, significantly enhancing operational efficiency. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.

Preface xxii

Acknowledgement xxvii

Chapter 1 Conceptualising the Role of Intellectual Property and Ethical Behaviour in Artificial Intelligence 1

Princy Pappachan, Asia University, Taiwan

Sreerakuvandana, Jain University, India

Mosiur Rahaman, Asia University, Taiwan

Chapter 2 Measuring Throughput and Latency of Machine Learning Techniques for Intrusion Detection 27

Winfred Yaokumah, University of Ghana, Ghana

Charity Y. M. Baidoo, University of Ghana, Ghana

Ebenezer Owusu, University of Ghana, Ghana

Chapter 3 Securing Digital Ecosystems: Harnessing the Power of Intelligent Machines in a Secure and Sustainable Environment 50

Mario Casillo, University of Salerno, Italy

Francesco Colace, University of Salerno, Italy

Brij B. Gupta, Asia University, Taichung, Taiwan & Lebanese American University, Beirut, Lebanon

Francesco Marongiu, University of Salerno, Italy

Domenico Santaniello, University of Salerno, Italy

Chapter 4 IoT-Based Economic Flame Detection Device for Safety 75

Suchismita Satapathy, KIIT University, India

Chapter 5 Human Face Mask Detection Using YOLOv7+CBAM in Deep Learning 94

Xinyi Gao, Auckland University of Technology, New Zealand

Minh Nguyen, Auckland University of Technology, New Zealand

Wei Qi Yan, Auckland University of Technology, New Zealand

Chapter 6 The Role of Al in Improving Interaction With Cultural Heritage: An Overview 107

Mario Casillo, University of Salerno, Italy

Francesco Colace, University of Salerno, Italy

Brij B. Gupta, Asia University, Taichung, Taiwan & Lebanese American University, Beirut, Lebanon

Angelo Lorusso, University of Salerno, Italy

Domenico Santaniello, University of Salerno, Italy

Carmine Valentino, University of Salerno, Italy

Chapter 7 Machine Learning Approach for Robot Navigation Using Motor Imagery Signals 137

Pratyay Das, Maulana Abul Kalam Azad University of Technology, West Bengal, India

Amit Kumar Shankar, Maulana Abul Kalam Azad University of Technology, West Bengal, India

Ahona Ghosh, Maulana Abul Kalam Azad University of Technology, West Bengal, India

Sriparna Saha, Maulana Abul Kalam Azad University of Technology, West Bengal, India

Chapter 8 Cloud Solutions for Smart Parking and Traffic Control in Smart Cities 169

Maganti Syamala, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddesyvaram, India

J. Malathi, Department of Computer Science and Business Systems, Sri Sai Ram Engineering College, Chennai, India

Vikash Singh, Department of Civil Engineering, Institute of Engineering and Technology, Lucknow, India

Hari Priya G. S., Department of Computer Science, M.S. Ramaiah College of Arts Science and Commerce, Bengaluru, India

B. Uma Maheswari, Department of Computer Science and Engineering, St. Joseph *5 College of Engineering, Chennai, India

Murugan S., Sona College of Technology, India

Chapter 9 Building Sustainable Smart Cities Through Cloud and Intelligent Pai'king System 195

Monika Sharma, Department of Computer Science and Engineering The Technological Institute of Textile and Sciences, Bhiwani, India

Manju Sharma, Department of Computer Science and Engineering, University Institute of Engineering and Technology, India & Maharshi Dayanand University, India

Neerav Sharma, Department of Computer Science and Engineering, BITS College, Bhiwani, India

Sampath Boopathi, Mechanical Engineering, Muthayammal Engineering College, India

Chapter 10 A Study on Al and Blockchain-Powered Smart Parking Models for Urban Mobility 223

K. Sundaramoorthy, Department of Information Technology, Jerusalem College of Engineering, India

Ajeet Singh, School of Computing Science and Engineering, VIT Bhopal University, India

G. Sumathy, Department of Computational Intelligence, SRM Institute of Science and Technology, India

A. Maheshwari, Department of Computational Intelligence, SRM Institute of Science and Technology, India

A. R. Aruna rani, Departinent of Computational Intelligence, SRM Institute of Science and Technology, India

Sampath Boopathi, Mechanical Engineering, Muthayammal Engineering College, India

Chapter 11 Machine Learning and Deep Learning for Intelligent Systems in Small Aircraft Applications 251

U. Rahamathunnisa, School of Computer Science Engineering and Information Systems,

Vellore Institute of Technology, India

Akash Mohanty, School of Mechanical Engineering, Vellore Institute of Technology, India

K. Sudhakar, Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India

S.Anitha Jebamani, Department of Information Technology, Sri Sai Ram Engineering College, Chennai, India

R. Ude ndh ran, Department of Computational Intelligence, SRM Institute of Science and Technology, India

Sureshkumar Myilsatny, Mechanical Engineering, Bannari Amman Institute of Technology, India

Chapter 12 Machine Learning in E-Health and Digital Healthcare: Practical Strategies for Transformation 276

T.K. Sethuramalingam, Department of Electronics and Communication Engineering,

Karpagam College of Engineering, Coimbatore, India

Rajkumar G. Nadakinamani, Badr Al Samaa Hospital, Oman

G. Sumathy, Department of Computational Intelligence, SRM Institute of Science and Technology, India

Sureshkumar Myilsamy, Mechanical Engineering, Bannari Amman Institute of Technology, India

Chapter 13 Unsupervised Learning Techniques for Vibration-Based Structural Health Monitoring Systems Driven by Data: A General Overview 305

Francesco Colace, University of Salerno, Italy

Brij B. Gupta, Asia University, Taichung, Taiwan & Lebanese American University, Beirut, Lebanon

Angelo Lorusso, University of Salerno, Italy

Alfredo Troiano, University of Salerno, Italy

Domenico Santaniello, University of Salerno, Italy

Carmine Valentino, University of Salerno, Italy

Chapter 14 Convergence of Data Science-AI-Green Chemistry-Affordable Medicine: Transforming Drug Discovery 348

B. Rebecca, Department of Computer Science and Engineering (Data Science), Marri

Laxman Reddy Institute of Technology and Management, Hyderabad, India

K. Pradeep Mohan Kumar, Department of Computing Technologies, SRM Institute of Science and Technology, Chennai, India

S. Padmini, Department of Computing Technologies, SRM Institute of Science and Technology, Chennai, India

Bipin Kumar Srivastava, Department of Applied Sciences, Galgotias College of Engineering and Technology, India

Shubhajit Halder, Department of Chemistry, Hislop College, Nagpur, India

Sampath Boopat hi, Mechanical Engineering, Muthayammal Engineering College, India

Chapter 15 Intelligent Machines, IoT, and Al in Revolutionizing Agriculture for Water Processing 374

Krishnagandhi Pachiappan, Department of Electrical and Electronics Engineering, Nandha Engineering College, India

K. Anitha, Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, India

R. Pitchai, Department of Computer Science and Engineering, B.V. Raju Institute of Technology, India

S. Sangeetha, Department of Computer Science Engineering, Karpagam College of Engineering, India

T. V. V. Satyanarayana, Department of Electronics and Communication Engineering, Mohan Babu University, India

Sampath Boopathi, Mechanical Engineering, Muthayammal Engineering College, India

Chapter 16 A Mixture Model for Fruit Ripeness Identification in Deep Learning 400

Bingjie Xiao, Auckland University of Technology, New Zealand

Minh Nguyen, Auckland University of Technology, New Zealand

Wei Qi Yan, Auckland University of Technology, New Zealand

Chapter 17 YOLO Models for Fresh Fruit Classification From Digital Videos 421

Yinzhe Xue, Auckland University of Technology, New Zealand

Wei Qi Yan, Auckland University of Technology, New Zealand

C\Compilation of References 436

About the Contributors 493

Index 500

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