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Diagnostic biomedical signal and image processing applications with deep learning methods, 


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Цена: 19370.00р.
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Название:  Diagnostic biomedical signal and image processing applications with deep learning methods
ISBN: 9780323961295
Издательство: Elsevier Science
Классификация:




ISBN-10: 0323961290
Обложка/Формат: Paperback
Страницы: 302
Вес: 0.63 кг.
Дата издания: 01.06.2023
Серия: Intelligent data-centric systems
Размер: 235 x 192 x 18
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Европейский союз


Data-driven science and engineering

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

Essentials of Digital Signal Processing

Автор: Lathi
Название: Essentials of Digital Signal Processing
ISBN: 1107059321 ISBN-13(EAN): 9781107059320
Издательство: Cambridge Academ
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Цена: 16474.00 р.
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Описание: This textbook offers a fresh approach to digital signal processing (DSP), combining heuristic reasoning and physical appreciation with sound mathematical methods. It uses metaphors, analogies and creative explanations and exercises. There are 500 figures, over 170 fully worked examples, hundreds of end-of-chapter problems, and over 150 drill exercises with student solutions.

Methods and Techniques Used in Fire Detection

Автор: A. Enis Cetin
Название: Methods and Techniques Used in Fire Detection
ISBN: 0128023996 ISBN-13(EAN): 9780128023990
Издательство: Elsevier Science
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Цена: 9264.00 р.
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Описание:

This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and practical overview of this important subject, as a number of new methods are emerging.

This book will serve as a reference for signal processing and computer vision, focusing on fire detection and methods for volume sensors. Applications covered in this book can easily be adapted to other domains, such as multi-modal object recognition in other safety and security problems, with scientific importance for fire detection, as well as video surveillance.

Coverage includes:

  • Camera Based Techniques
  • Multi-modal/Multi-sensor fire analysis
  • Pyro-electric Infrared Sensors for Flame Detection
  • Large scale fire experiments
  • Wildfire detection from moving aerial platforms

  • The basics of signal, image and video processing based fire detection
  • The latest fire detection methods and techniques using computer vision
  • Non-conventional fire detectors: Fire detection using volumetric sensors
  • Recent large-scale fire experiments and their results
  • New and emerging technologies and areas for further research
Spline and Spline Wavelet Methods with Applications to Signal and Image Processing

Автор: Amir Z. Averbuch; Pekka Neittaanm?ki; Valery A. Zh
Название: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing
ISBN: 331922302X ISBN-13(EAN): 9783319223025
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing Vol. II

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

Автор: Michael T. McCann, Michael Unser
Название: Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks
ISBN: 1680836501 ISBN-13(EAN): 9781680836509
Издательство: Mare Nostrum (Eurospan)
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Цена: 8039.00 р.
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Описание: Presents a wide swath of biomedical image reconstruction algorithms under a single framework. The book offers a brief survey of six decades of research. The underpinning theory of the techniques are described and practical considerations for designing reconstruction algorithms for use in biomedical systems form the central theme of each chapter.

Deep Learning for Biomedical Image Reconstruction

Автор: Jong Chul Ye, Michael Unser, Yonina C. Eldar
Название: Deep Learning for Biomedical Image Reconstruction
ISBN: 1316517519 ISBN-13(EAN): 9781316517512
Издательство: Cambridge Academ
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Цена: 14254.00 р.
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Описание: Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. The background theory of deep learning is introduced step-by-step, and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities, including X-ray, CT, MRI and others. Real-world examples demonstrate an interdisciplinary approach to medical image reconstruction processes, featuring numerous imaging applications. Recent clinical studies and innovative research activity in generative models and mathematical theory will inspire the reader towards new frontiers. This book is ideal for graduate students in Electrical or Biomedical Engineering or Medical Physics.

Computational Photography

Автор: Lukac R.
Название: Computational Photography
ISBN: 1439817499 ISBN-13(EAN): 9781439817490
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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Описание: Details advances in computational photography, their applications, and specific research challenges. This text begins with computational photography fundamentals and computational cameras, followed by a discussion of computational photography approaches across a broad spectrum of imaging applications.

Advanced methods in biomedical signal processing and analysis

Название: Advanced methods in biomedical signal processing and analysis
ISBN: 0323859550 ISBN-13(EAN): 9780323859554
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Описание: Supervision in Neuropsychology offers a review of theoretical, practical, and ethical considerations for professionals providing supervision in clinical neuropsychology. The book covers competency, structural and practical issues, ethical considerations, diversity and inclusion in supervision, future challenges, and more. It concludes with 8 appendices for easy reference.

Kernel Methods and Machine Learning

Автор: Kung
Название: Kernel Methods and Machine Learning
ISBN: 110702496X ISBN-13(EAN): 9781107024960
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

Image Processing using Pulse-Coupled Neural Networks

Автор: Thomas Lindblad; Jason M. Kinser
Название: Image Processing using Pulse-Coupled Neural Networks
ISBN: 364236876X ISBN-13(EAN): 9783642368769
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book reviews the neural theory and translates them into digital models. It gives applications in image recognition, foveation, image fusion and information extraction, and includes Python scripts that help readers replicate results presented in the text.

Biomedical Signal and Image Processing in Patient Care

Автор: Kolekar Maheshkumar H., Kumar Vinod
Название: Biomedical Signal and Image Processing in Patient Care
ISBN: 1522528296 ISBN-13(EAN): 9781522528296
Издательство: Turpin
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Цена: 36554.00 р.
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Описание: In healthcare systems, medical devices help physicians and specialists in diagnosis, prognosis, and therapeutics. As research shows, validation of medical devices is significantly optimized by accurate signal processing. Biomedical Signal and Image Processing in Patient Care is a pivotal reference source for progressive research on the latest development of applications and tools for healthcare systems. Featuring extensive coverage on a broad range of topics and perspectives such as telemedicine, human machine interfaces, and multimodal data fusion, this publication is ideally designed for academicians, researchers, students, and practitioners seeking current scholarly research on real-life technological inventions.

Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Автор: GRULL & KEBSCHULL
Название: Acceleration of Biomedical Image Processing with Dataflow on FPGAs
ISBN: 8793379366 ISBN-13(EAN): 9788793379367
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book, reconfigurable computing with FPGAs is discussed as an alternative to multi-core processing and graphics card accelerators. Instead of adjusting the application to the hardware, FPGAs allow the hardware to also be adjusted to the problem. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep pipelines that can be executed with very high parallelism. The transformation process is discussed from initial design decisions to working implementations. Two example applications from stochastic localization microscopy and electron tomography illustrate the approach further.

Topics discussed in the book include:
- Reconfigurable hardware
- Dataflow computing
- Image processing
- Application acceleration


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