Artificial Intelligence and Edge Computing for Sustainable Ocean Health

Debashis De, Diganta Sengupta, Tien Anh Tran (Herausgeber)

Buch | Hardcover

XII, 451 Seiten

2024 | 2024
Springer International Publishing (Verlag)
978-3-031-64641-6 (ISBN)

Infos

Artificial Intelligence and Edge Computing for Sustainable Ocean Health explores the transformative role of AI and edge computing in preserving and enhancing ocean health. The growing influence of Artificial Intelligence (AI), along with the Internet of Things (IoT) in generating wide coverage of sensor networks, and Edge Computing (EC) has paved the way for investigation of underwater as well as massive marine data, thereby generating huge potential for credible research opportunities for these domains. This book's journey begins with a broad overview of Artificial Intelligence for Sustainable Ocean Health, setting the foundation for understanding AI's potential in marine conservation. The subsequent chapter, Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism, illustrates the synergy between technological advancements and sustainable tourism practices, demonstrating how AI can enhance the attractiveness and preservation of marine destinations. The identification, restoration, and monitoring of marine resources along with the utilization of technology continues in Utilization of Underwater Wireless Sensor Network through Supervising a Random Network Environment in the Ocean Environment has been extensively dealt with. The technical challenges of underwater imaging, essential for accurate data collection and analysis has been discussed.

The importance of Explainable AI is discussed in chapters like Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health, Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health, and A Comprehensive Study of AI (XAI) for Ocean Health Monitoring, which emphasize transparency and trust in AI systems. Further, Revolutionizing Internet of Underwater Things with Federated Learning, Underwater Drone, Underwater Imagery with AI/ML and IoT in ROV Technology and Ocean Cleanup has been demonstrated using innovative approaches to addressing underwater challenges. The book also includes a Review on the Optics and Photonics in Environmental Sustainability, focusing on the role of optics in marine conservation. Security issues are tackled in Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission, and the overarching potential of AI in marine resource management is discussed in Artificial Intelligence as Key-enabler for Safeguarding the Marine Resources.

Autor

Prof. Dr. Debashis De is a Professor in the Department of Computer Science and Engineering at the Maulana Abul Kalam Azad University of Technology, West Bengal, India. He received M. Tech. from the University of Calcutta, in 2002 and a Ph.D. from Jadavpur University in 2005. He is a Senior Member-IEEE, Fellow IETE, and Life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Heriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 2008-2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award in 2005 at New Delhi and in 2011 in Istanbul, Turkey, from the International Union of Radio Science, Belgium. In 2016 he received the JC Bose research award from IETE, New Delhi. In 2019 he received the Shiksha-Ratna Award from the Govt. of West Bengal. He established the Center of Mobile Cloud Computing (CMCC) for IoT applications. He published in 390 journals and 200 conference papers, fifteen books, and has four patents granted. He has projects sponsored by AICTE, UGC, WBDST, DST, WBDST, World Bank, AWS, and MeitY. His research interest is Mobile Cloud Computing, AI, IoT, and Quantum Computing.

Dr. Diganta Sengupta is a Fellow of IETE, Senior member of IEEE and ACM, Life member of Computer Society of India and The Institution of Engineers (India). He is also a senior member of IEEE Computational Intelligence Society. He has served as the State Student Coordinator for West Bengal, India for Computer Society of India (CSI), and as the elected member of the Managing Committee CSI Kolkata Chapter. He received his B. Tech. (2004) from University of Kalyani, WB, IN, his M. Tech. (2010), and Ph.D. (Engg.) (2016) from Jadavpur University, WB, IN. Dr. Diganta Sengupta is presently working in the capacity of Associate Professor in the Dept. of CSE, Heritage Institute of Technology Kolkata, IN. Formerly he was associated with Meghnad Saha Institute of Technology, Kolkata, India in the capacity of Associate Professor in the Dept. of CSE, and Faculty-In-Charge for the Dept. of Computer Science and Business Systems (additional responsibility). He has a cumulative teaching exposure of 19 Years and counting. His research interests include Computer Vision, Computational Healthcare, Bio-Informatics, Intelligent Ocean Health Management, and Intelligent Agriculture. He is the funded investigator of SERB-SURE, Govt. of India in bioinformatics. He is the Editorial Board member of multiple International Journals, and has also served as reviewer. He has also been associated with reputed international IEEE and Springer conferences in multiple committee member capacities. He has served as the guest editor of IET Quantum Communication, Sustainable Computing: Informatics and Systems, Elsevier and Springer Nature Computer Science.

Dr. Tien Anh Tran is a Senior Researcher at Seoul National University, Seoul city, South Korea. He is an Assistant Professor (Lecturer) at Department of Marine Engineering, Vietnam Maritime University, Haiphong City, Vietnam. He is an Honorary Professor at School of Computing Science and Engineering, Galgotias University, India and an Honorary Adjunct Professor at School of Computer Science and Engineering, Lovely Professional University (LPU), India. Additionally, he is an Adjunct Faculty at SIMATS Engineering, Saveetha Institute of Medical and Technical Sciences, Tamilnadu, India. He received B.Eng and M.Sc at Vietnam Maritime University, Vietnam in 2011 and 2014, respectively. He got Ph.D. Degree at Wuhan University of Technology, Wuhan, China in 2018. He is an Editor/Guest Editor for journals such as Environment, Development and Sustainability, IET Intelligent Transport System, International Journal of Distributed Sensor Networks, Sustainable Computing: Informatics and Systems, International Jour

Inhalt

Section 1 AI for Ocean Health.- Chapter 1 Artificial Intelligence for Sustainable Ocean Health.-  Chapter 2 Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism.- Chapter 3 Leveraging the Power of AI for Sustainable Oceans.- Chapter 4 Blue Ocean and Machine Learning Trajectories SDG 14 - Life below Water for Handling Ocean Pollution: Metaverse Conserve Ocean Health Sustainability through the Lens of Transboundary Legal-Policy Regulations as Articulating Space for Futuristic Changes.- Chapter 5 Marine Resources: Identification, Restoring & Monitoring of Fisheries Food Resources Using Deep Learning and Image Processing.- Chapter 6 Utilization of Underwater Wireless Sensor Network through Supervising a Random Network Environment in the Ocean Environment.- Chapter 7 Role of Pre-processing Algorithm in the Underwater Image Analysis.- Section 2 Explainable AI for Ocean Health.- Chapter 8 Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health.- Chapter 9 Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health.- Chapter 10. A Comprehensive Study of AI (XAI) for Ocean Health Monitoring.- Chapter 11. Explainable Artificial Intelligence for Ocean Health: Applications and Challenges.- Section 3: Edge computing based IoT for Ocean Health.- Chapter 12. Revolutionizing Internet of Underwater Things with Federated Learning.- Chapter 13. Federated Learning for Internet of Underwater Drone Things.- Chapter 14. Enhancing Underwater Imagery with AI/ML and IoT in ROV Technology.- Chapter 15. Revolutionizing Ocean Cleanup: AI and Robotics Tackle Pollution Challenges.- Chapter 16. Review on the Optics and Photonics in Environmental Sustainability.- Chapter 17. Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission.- Chapter 18. Artificial Intelligence as Key-enabler for Safeguarding the Marine Resources.

Produkt-Details

• Erscheinungsdatum: 13.09.2024
• Reihe/Serie: The Springer Series in Applied Machine Learning
• Zusatzinfo: XII, 451 p. 120 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Mathematik / Informatik ► Informatik
• Schlagworte: Artificial Intelligence • Conserve Ocean Health • Deep learning • Explainable AI • Federated Learning for Ocean Health • Fisheries Food • Internet of underwater things • machine learning • marine resources • Ocean cleanup • Ocean Health in Promoting Tourism • Pre-processing Algorithm • SDG 14 • Sustainable Development Goal • Sustainable Ocean Health • Underwater Data Transmission • Underwater Imagery • Underwater Wireless Sensor Network
• ISBN-10: 3-031-64641-X / 303164641X
• ISBN-13: 978-3-031-64641-6 / 9783031646416
• Zustand: Neuware