Artificial Intelligence and Edge Computing for Sustainable Ocean Health
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 se...
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| Інші автори: | , , |
| Формат: | Електронний ресурс eКнига |
| Мова: | Англійська |
| Опубліковано: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Редагування: | 1st ed. 2024. |
| Серія: | The Springer Series in Applied Machine Learning,
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| Онлайн доступ: | https://doi.org/10.1007/978-3-031-64642-3 |
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| 245 | 1 | 0 | |a Artificial Intelligence and Edge Computing for Sustainable Ocean Health |h [electronic resource] / |c edited by Debashis De, Diganta Sengupta, Tien Anh Tran. |
| 250 | |a 1st ed. 2024. | ||
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| 490 | 1 | |a The Springer Series in Applied Machine Learning, |x 2520-1301 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Oceanography. | |
| 650 | 0 | |a Internet of things. | |
| 650 | 0 | |a Mechatronics. | |
| 650 | 0 | |a Wireless communication systems. | |
| 650 | 0 | |a Mobile communication systems. | |
| 650 | 1 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Ocean Sciences. |
| 650 | 2 | 4 | |a Internet of Things. |
| 650 | 2 | 4 | |a Mechatronics. |
| 650 | 2 | 4 | |a Wireless and Mobile Communication. |
| 700 | 1 | |a De, Debashis. |e editor. |0 (orcid)0000-0002-9688-9806 |1 https://orcid.org/0000-0002-9688-9806 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Sengupta, Diganta. |e editor. |0 (orcid)0000-0002-7792-0388 |1 https://orcid.org/0000-0002-7792-0388 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Tran, Tien Anh. |e editor. |0 (orcid)0000-0002-2231-2764 |1 https://orcid.org/0000-0002-2231-2764 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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