| 期刊全称 | Artificial Intelligence and Edge Computing for Sustainable Ocean Health | | 影响因子2023 | Debashis De,Diganta Sengupta,Tien Anh Tran | | 视频video | | | 发行地址 | Incorporates an inter-disciplinary approach in handling the issues of ocean health using emerging technologies.Covers use of AI, IoT, Edge Computing, Federated Learning, Wireless Sensor Networks, Dron | | 学科分类 | The Springer Series in Applied Machine Learning | | 图书封面 |  | | 影响因子 | .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 | | Pindex | Book 2024 |
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发表于 2025-3-21 17:53:35
