9783030779382 - deep learning for unmanned systems: 984 (studies in computational intelligence, 984) (11 resultados)
Idioma: Inglés
Editorial: Cham, Springer International Publishing : Imprint: Springer., 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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- Primera edición
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, AlemaniaUniversitätsbuchhandlung Herta Hold GmbH
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EUR 20,00
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1st ed. 2021. VIII, 732 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 984. Sprache: Eng…lisch.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 251,80
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Condición: New. In.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 307,16
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Condición: New. pp. 732.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 246,77
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in the near futu…re. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets.In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN). The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science. The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS)The book chapters present various techniques of deep learning for robotic applications.The book chapters contain a good literature survey with a long list of references.The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques.The book chapters are lucidly illustrated with numerical examples and simulations.The book chapters discuss details of applications and future research areas.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 348,27
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Hardcover. Condición: Brand New. 740 pages. 9.25x6.10x1.89 inches. In Stock.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 182,29
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: moluna, Greven, Alemaniamoluna
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EUR 197,62
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Investigates the latest Deep Learning applications in theoretical and practical fields of for any unmanned system, robot, drone, underwater, etc.Includes selected and extended high-quality papers related to applicatio…n of Deep Learning for Unmanne.
Idioma: Inglés
Editorial: Springer International Publishing Okt 2021, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 235,39
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life…in the near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets.In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN). The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science. The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS)The book chapters present various techniques of deep learning for robotic applications.The book chapters contain a good literature survey with a long list of references.The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques.The book chapters are lucidly illustrated with numerical examples and simulations.The book chapters discuss details of applications and future research areas. 740 pp. Englisch.
Idioma: Inglés
Editorial: Springer, Springer Okt 2021, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 235,39
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in t…he near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets.In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN).The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science.The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS)The book chapters present various techniques of deep learning for robotic applications.The book chapters contain a good literature survey with a long list of references.The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques.The book chapters are lucidly illustrated with numerical examples and simulations.The book chapters discuss details of applications and future research areas.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 740 pp. Englisch.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 321,32
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Condición: New. Print on Demand pp. 732 This item is printed on demand.
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 487 de 538 - Studies in Computational Intelligence
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 332,41
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND pp. 732.
