人工智能和边缘计算促进可持续海洋健康
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.
中文| 2024 | ISBN:303164641X | 456页| True PDF,EPUB | 69.41 MB《人工智能和边缘计算促进可持续海洋健康》探讨了AI和边缘计算在保护和增强海洋健康方面的变革作用。人工智能(AI)、物联网(IoT)在传感器网络广泛覆盖方面的影响力日益增强,边缘计算(EC)为水下和海量海洋数据的调查铺平了道路,从而为这些领域的可信研究机会创造了巨大的潜力。本书的旅程始于对人工智能促进可持续海洋健康的广泛概述,为理解人工智能在海洋保护中的潜力奠定了基础。下一章“人工智能和技术在改善海洋健康促进旅游业中的作用”说明了技术进步和可持续旅游实践之间的协同作用,展示了人工智能如何增强海洋目的地的吸引力和保护。通过监督海洋环境中的随机网络环境来利用水下无线传感器网络,对海洋资源的识别、恢复和监测以及技术的利用得到了广泛的研究。讨论了水下成像的技术挑战,这对准确的数据收集和分析至关重要。 可持续发展目标14:可解释的人工智能(XAI)对海洋健康的重要性,可解释的AI对海洋健康:探索可解释人工智能在增强海洋健康中的作用,以及人工智能对海洋健康监测的综合研究(XAI,其中强调了人工智能系统的透明度和信任度。此外,利用联合学习、水下无人机、AI/ML和物联网在ROV技术和海洋清理中彻底改变水下物联网,已经通过创新方法解决了水下挑战。这本书还包括《环境可持续性中的光学和光子学评论》,重点介绍光学在海洋保护中的作用。基于智能哈希函数的海洋水下数据传输密钥交换方案解决了安全问题,人工智能作为保护海洋资源的关键推动因素,讨论了人工智能在海洋资源管理中的总体潜力。本站不对文件进行储存,仅提供文件链接,请自行下载,本站不对文件内容负责,请自行判断文件是否安全,如发现文件有侵权行为,请联系管理员删除。
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