Isbn: 9781032473307 - machine learning for complex and unmanned systems (14 resultados)

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  • Idioma: Inglés

    Editorial: CRC Press, 2025

    1032473304 / 9781032473307

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Editorial: CRC Press, 2025

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  • Idioma: Inglés

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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  • Idioma: Inglés

    Editorial: CRC Press, 2025

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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  • Idioma: Inglés

    Editorial: CRC Press, 2025

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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  • Idioma: Inglés

    Editorial: CRC Press, 2025

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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  • Idioma: Inglés

    Editorial: CRC Press, 2025

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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  • Idioma: Inglés

    Editorial: Taylor and Francis Ltd, GB, 2025

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    Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA

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    Paperback. Condición: New. This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of artificial intelligence, cryptography, embedded hardware, electronics, the Internet of Things, and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research.FeaturesProvides details of applications using machine learning methods to solve real problems in engineeringDiscusses new developments in the areas of complex and unmanned systemsIncludes details of hardware/software implementation of machine learning methodsIncludes examples of applications of different machine learning methods for future lines for research in the hot topic areas of submarines, drones, robots, cryptography, electronics, healthcare, and the Internet of ThingsThis book can be used by graduate students, industrial and academic professionals to examine real case studies in applying machine learning in the areas of modeling, simulation, and optimization of complex systems, cryptography, electronics, healthcare, control systems, Internet of Things, security, and unmanned systems such as submarines, drones, and robots.…

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    Paperback. Condición: Brand New. 382 pages. 9.18x6.12x9.21 inches. In Stock.

  • Idioma: Inglés

    Editorial: Taylor and Francis Ltd, GB, 2025

    1032473304 / 9781032473307

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    Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK

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    Paperback. Condición: New. This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of artificial intelligence, cryptography, embedded hardware, electronics, the Internet of Things, and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research.FeaturesProvides details of applications using machine learning methods to solve real problems in engineeringDiscusses new developments in the areas of complex and unmanned systemsIncludes details of hardware/software implementation of machine learning methodsIncludes examples of applications of different machine learning methods for future lines for research in the hot topic areas of submarines, drones, robots, cryptography, electronics, healthcare, and the Internet of ThingsThis book can be used by graduate students, industrial and academic professionals to examine real case studies in applying machine learning in the areas of modeling, simulation, and optimization of complex systems, cryptography, electronics, healthcare, control systems, Internet of Things, security, and unmanned systems such as submarines, drones, and robots.…

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2025

    1032473304 / 9781032473307

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    EUR 110,67

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    Paperback. Condición: new. Paperback. This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of artificial intelligence, cryptography, embedded hardware, electronics, the Internet of Things, and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research.FeaturesProvides details of applications using machine learning methods to solve real problems in engineeringDiscusses new developments in the areas of complex and unmanned systemsIncludes details of hardware/software implementation of machine learning methodsIncludes examples of applications of different machine learning methods for future lines for research in the hot topic areas of submarines, drones, robots, cryptography, electronics, healthcare, and the Internet of ThingsThis book can be used by graduate students, industrial and academic professionals to examine real case studies in applying machine learning in the areas of modeling, simulation, and optimization of complex systems, cryptography, electronics, healthcare, control systems, Internet of Things, security, and unmanned systems such as submarines, drones, and robots. This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The main topics covered under this title include: machine learning, artificial intelligence, cryptography, submarines, drones, security in healthcare, Internet of Things and robotics. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…