06543nam a22005655i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001400153072001700167072002300184072001600207245015800223250001800381264006900399300005500468336002600523337002600549338003600575347002400611490006400635505197700699520245802676650002205134650002905156650001805185650002405203650001805227650003605245650003405281650002205315650002905337650002005366650002405386650001805410650003905428700007505467700008005542700007705622710003405699773002605733776003605759776003605795776003605831830006405867856004605931978-3-031-64642-3DE-He21320251030113036.0cr nn 008mamaa240912s2024    sz |    s    |||| 0|eng d  a97830316464237 a10.1007/978-3-031-64642-32doi 4aQ325.5-.7 7aUYQM2bicssc 7aMAT0290002bisacsh 7aUYQM2thema10aArtificial Intelligence and Edge Computing for Sustainable Ocean Healthh[electronic resource] /cedited by Debashis De, Diganta Sengupta, Tien Anh Tran.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXIV, 451 p. 120 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aThe Springer Series in Applied Machine Learning,x2520-13010 aSection 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.  aArtificial 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. 0aMachine learning. 0aArtificial intelligence. 0aOceanography. 0aInternet of things. 0aMechatronics. 0aWireless communication systems. 0aMobile communication systems.14aMachine Learning.24aArtificial Intelligence.24aOcean Sciences.24aInternet of Things.24aMechatronics.24aWireless and Mobile Communication.1 aDe, Debashis.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aSengupta, Diganta.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aTran, Tien Anh.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303164641608iPrinted edition:z978303164643008iPrinted edition:z9783031646447 0aThe Springer Series in Applied Machine Learning,x2520-130140uhttps://doi.org/10.1007/978-3-031-64642-3