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Publicado por VDM Verlag Dr. M�ller 2011-08-11, 2011
ISBN 10: 3639376773 ISBN 13: 9783639376777
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Añadir al carritoTaschenbuch. Condición: Neu. Fast Medical Image Reconstruction using Graphics Processing Unit | Towards Real-Time Reconstruction of Magnetic Resonance Images | Mohammad Nazmul Haque | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | VDM Verlag Dr. Müller | EAN 9783639376777 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032996935 ISBN 13: 9781032996936
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Añadir al carritoHardback. Condición: New. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether you're looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource.
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Añadir al carritoBuch. Condición: Neu. Data-Driven Applications for Emerging Technologies | Nazmul Siddique (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | CRC Press | EAN 9781032996936 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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ISBN 10: 1032996935 ISBN 13: 9781032996936
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Añadir al carritoHardback. Condición: New. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether you're looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource.
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Haque Mohammad NazmulHe has received M.Sc and B.Sc in Computer Science & Engineering from Daffodil International University (DIU),Dhaka, Bangladesh. Presently he is serving as Lecturer in the Dept. of CSE at DIU. His research interes.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A fast magnetic resonance images (MRI) reconstruction algorithm taking advantage of the prevailing general purpose graphics processing unit (GPGPU) programming paradigm is experimented in this book. In a number of medical imaging modalities, the Fast Fourier Transform (FFT) is being used for the reconstruction of images from acquired raw data.The objective is to develop an algorithm to run under CPU and also in GPU for the reconstruction by performing the Fast Fourier Transform (FFT) as well as Inverse Fourier Transformation (IFT) in much faster way. The algorithm is developed in MATLAB environment. The CUFFT library is used to run under device to study the improved performance of reconstructions. GPUMat is used to running CUDA code in MATLAB. This book exercises the acceleration of MRI reconstruction algorithm on NVIDIA's GeForce G 103M based GPU and Intel® Core 2 Duo based CPU. Experimental FFT based reconstruction algorithm shows that GPU based MRI reconstruction achieved significant speedup compared to the CPUs for medical applications at a cheaper cost. The runtime for GPU shows that real-time MRI reconstruction will be possible.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1032996935 ISBN 13: 9781032996936
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Añadir al carritoHardcover. Condición: new. Hardcover. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether youre looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource. This book explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2025
ISBN 10: 1032996935 ISBN 13: 9781032996936
Librería: CitiRetail, Stevenage, Reino Unido
EUR 131,62
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Añadir al carritoHardcover. Condición: new. Hardcover. Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether youre looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource. This book explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 296 pages. 10.00x7.00x10.24 inches. In Stock. This item is printed on demand.