Isbn: 9781032869414 - bio-inspired data-driven distributed energy in robotics and enabling technologies (intelligent data-driven systems and artificial intelligence) (7 resultados)

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  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032869410 / 9781032869414

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

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    Condición: New.

  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032869410 / 9781032869414

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032869410 / 9781032869414

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

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Condición: Nuevo

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    Paperback. Condición: Brand New. 310 pages. 6.14x0.73x9.21 inches. In Stock.

  • Idioma: Inglés

    Editorial: CRC Press, 2026

    1032869410 / 9781032869414

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: New. Abhishek Kumar is currently working as Associate Professor, Chandigarh University, India and is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, and Ciudad Real Spain.He h.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd (Sales) Jul 2026, 2026

    1032869410 / 9781032869414

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 110,31

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    Taschenbuch. Condición: Neu. Neuware - This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book: - Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. - Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. - Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. - Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. - Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem. The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering.…

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2026

    1032869410 / 9781032869414

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    EUR 75,44

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    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book:Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem.The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering. This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. 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.…