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Titlebook: AI Technology for Underwater Robots; Frank Kirchner,Sirko Straube,Nina Hoyer Book 2020 Springer Nature Switzerland AG 2020 AUV.Artificial

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發(fā)表于 2025-3-21 18:24:12 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱AI Technology for Underwater Robots
影響因子2023Frank Kirchner,Sirko Straube,Nina Hoyer
視頻videohttp://file.papertrans.cn/143/142793/142793.mp4
發(fā)行地址Details interdisciplinary developments in underwater technologies.Each chapter provides a compact overview of a whole area.Includes the most modern artificial intelligence procedures?
學(xué)科分類Intelligent Systems, Control and Automation: Science and Engineering
圖書封面Titlebook: AI Technology for Underwater Robots;  Frank Kirchner,Sirko Straube,Nina Hoyer Book 2020 Springer Nature Switzerland AG 2020 AUV.Artificial
影響因子.This book provides exclusive insight into the development of a new generation of robotic underwater technologies. .Deploying and using even the most simple and robust mechanical tools is presenting a challenge, and is often associated with an enormous amount of preparation, continuous monitoring, and maintenance. . Therefore, all disciplinary aspects (e.g. system design, communication, machine learning, mapping and coordination, adaptive mission planning) are examined in detail and together this gives an extensive overview on research areas influencing next generation underwater robots. . These robotic underwater systems will operate autonomously with the help of the most modern artificial intelligence procedures and perform environmental monitoring as well as inspection and maintenance of underwater structures. The systems are designed as modular and reconfigurable systems for long term autonomy to remain at the site for longer periods of time. New communication methods using AI enable missions of hybrid teams of humans and heterogeneous robots.. Thus this volume will be an important reference for scientists on every qualification level in ?the field of underwater technologies, i
Pindex Book 2020
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發(fā)表于 2025-3-21 23:41:11 | 只看該作者
Intelligent Systems, Control and Automation: Science and Engineeringhttp://image.papertrans.cn/a/image/142793.jpg
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發(fā)表于 2025-3-22 01:19:06 | 只看該作者
https://doi.org/10.1007/978-3-030-30683-0AUV; Artificial Intelligence; Offshore inspection; Underwater Navigation; Machine learning; AI navigation
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發(fā)表于 2025-3-22 06:01:04 | 只看該作者
978-3-030-30685-4Springer Nature Switzerland AG 2020
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發(fā)表于 2025-3-22 10:15:01 | 只看該作者
Geography of the Physical Environmentg and production as well as in medical fields like tumor classification, heart failure prediction, and even depression diagnosis, e.g. in Chockley and Emanuel (J Am Coll Radiol 13(12):1415–1420, 2016, [.]). The fields of application for AI Technologies are currently expanding rapidly into pharmacy,
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發(fā)表于 2025-3-22 14:41:39 | 只看該作者
Soil Piping: Problems and Prospectslities in coastal waters of the southern North Sea and in the polar fjord system “Kongsfjorden” at Svalbard from 2012 to 2018. The actual state and the challenges in using state-of-the-art IT based sensor technology in shallow water areas are summarized as well as the main shortcomings and pitfalls
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Lev Eppelbaum,Izzy Kutasov,Arkady Pilchinlity to new situations and scenarios. This will be achieved by a modular system design on the hardware side and a reconfigurable software system. This is necessary since current design of underwater vehicles is usually tailor-made for a specific task or completely open-frame. While the latter option
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