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portada Advanced Imaging Applications for Interdisciplinary Engineering
Type
Physical Book
Publisher
Author
Year
2026
Language
English
Pages
228
Format
Paperback
Dimensions
25.40 x 17.80 x 1.50 cm
ISBN13
9798898814588

Advanced Imaging Applications for Interdisciplinary Engineering

Anupma Gupta;Manish Singla;Arjun Puri (Author) · Bentham Science Publishers · Paperback

Advanced Imaging Applications for Interdisciplinary Engineering - Anupma Gupta;Manish Singla;Arjun Puri

New Book Imported to South Africa
Delivery: 27 Aug - 07 Sep Shipping: 4 to 5 business days.
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R 2,284

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Synopsis "Advanced Imaging Applications for Interdisciplinary Engineering"

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.

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