Isbn: 9798898814588 - advanced imaging applications for interdisciplinary engineering (5 risultati)

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  • Lingua: Inglese

    Editore: Bentham Science Publishers, 2026

    9798898814588

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

  • Lingua: Inglese

    Editore: Bentham Science Publishers, 2026

    9798898814588

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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

  • Lingua: Inglese

    Editore: Bentham Science Publishers, 2026

    9798898814588

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: Bentham Science Publishers, 2026

    9798898814588

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    Paperback. Condizione: new. Paperback. Advanced Imaging Applications for Interdisciplinary Engineering is a multidisciplinary exploration of the applications of A.I based imaging technologies and predictive modelling across nanotechnology, quantum imaging, and environmental science. It covers AI-based image analysis and machine learning applications and innovations in nanoparticle-enhanced diagnostic imaging across modalities such as MRI, CT, and ultrasound. The book also explores quantum imaging techniques, including entanglement-based and ghost imaging, alongside applied computational models for tasks like air quality forecasting. Additional contributions include AI-driven traffic surveillance, image enhancement methods, and blockchain-based healthcare systems for secure data management. The final sections address environmental studies, including waste analysis and groundwater contamination assessment. Overall, the volume bridges theory and real-world applications across healthcare, environmental monitoring, and intelligent systems. Key Features: -Multidisciplinary coverage spanning artificial intelligence, nanotechnology, quantum imaging, and environmental science. -Detailed insights into advanced imaging techniques, including CT, MRI, PET/SPECT, and quantum imaging methods. -Integrated perspectives on machine learning models for predictive analytics, image enhancement, and environmental forecasting. -Explores blockchain-based healthcare frameworks for secure and interoperable data management. -Combines theoretical foundations with practical case studies and real-world applications to provide experimental analysis across medical diagnostics, environmental monitoring, and infrastructure surveillance. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Bentham Science Publishers, 2026

    9798898814588

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    EUR 117,73

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    Paperback. Condizione: new. Paperback. Advanced Imaging Applications for Interdisciplinary Engineering is a multidisciplinary exploration of the applications of A.I based imaging technologies and predictive modelling across nanotechnology, quantum imaging, and environmental science. It covers AI-based image analysis and machine learning applications and innovations in nanoparticle-enhanced diagnostic imaging across modalities such as MRI, CT, and ultrasound. The book also explores quantum imaging techniques, including entanglement-based and ghost imaging, alongside applied computational models for tasks like air quality forecasting. Additional contributions include AI-driven traffic surveillance, image enhancement methods, and blockchain-based healthcare systems for secure data management. The final sections address environmental studies, including waste analysis and groundwater contamination assessment. Overall, the volume bridges theory and real-world applications across healthcare, environmental monitoring, and intelligent systems. Key Features: -Multidisciplinary coverage spanning artificial intelligence, nanotechnology, quantum imaging, and environmental science. -Detailed insights into advanced imaging techniques, including CT, MRI, PET/SPECT, and quantum imaging methods. -Integrated perspectives on machine learning models for predictive analytics, image enhancement, and environmental forecasting. -Explores blockchain-based healthcare frameworks for secure and interoperable data management. -Combines theoretical foundations with practical case studies and real-world applications to provide experimental analysis across medical diagnostics, environmental monitoring, and infrastructure surveillance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.