Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi, Kulkarni, Shrirang Ambaji , Gurupur, Varadrah P.
Автор: Fehr Hans Название: Introduction to Computational Economics Using Fortran ISBN: 0198850379 ISBN-13(EAN): 9780198850373 Издательство: Oxford Academ Рейтинг: Цена: 46980.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This exercise and solutions manual accompanies the main edition of Introduction to Computational Economics Using Fortran. It enables students of all levels to practice the skills and knowledge needed to conduct economic research using Fortran.
This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects.
The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a "transparent" view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.
Автор: Kulkarni, Shrirang Ambaji , Gurupur, Varadrah P. Название: Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi ISBN: 1138543527 ISBN-13(EAN): 9781138543522 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for users without any prior programming knowledge.
Автор: M Bertero Название: Introduction to Inverse Problems in Imaging ISBN: 1138434043 ISBN-13(EAN): 9781138434042 Издательство: Taylor&Francis Рейтинг: Цена: 173530.00 T Наличие на складе: Нет в наличии. Описание: This is a graduate textbook on the principles of linear inverse problems, methods of their approximate solution, and practical application in imaging. The level of mathematical treatment is kept as low as possible to make the book suitable for a wide range of readers from different backgrounds in science and engineering. Mathematical prerequisites are first courses in analysis, geometry, linear algebra, probability theory, and Fourier analysis. The authors concentrate on presenting easily implementable and fast solution algorithms. With examples and exercised throughout, the book will provide the reader with the appropriate background for a clear understanding of the essence of inverse problems (ill-posedness and its cure) and, consequently, for an intelligent assessment of the rapidly growing literature on these problems.
Автор: Frery Alejandro C Название: Introduction to Image Processing Using R ISBN: 1447149491 ISBN-13(EAN): 9781447149491 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. Those who are new to the field of image processing and to R software will find this work a useful introduction.
Автор: Hlavac Vaclav Название: Image Processing, Analysis, and Machine Vision ISBN: 1133593690 ISBN-13(EAN): 9781133593690 Издательство: Cengage Learning Рейтинг: Цена: 88690.00 T Наличие на складе: Невозможна поставка. Описание: Provides coverage of the range of topics encountered in the field of image processing and machine vision. This book helps undergraduates, graduates, researchers, and professionals who are looking for a readable reference.
Автор: M. Antonia Amaral Turkman, Carlos Daniel Paulino, Peter Muller Название: Computational Bayesian Statistics: An Introduction ISBN: 1108481035 ISBN-13(EAN): 9781108481038 Издательство: Cambridge Academ Рейтинг: Цена: 116160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user`s guide for researchers and graduate students from beyond statistics.
Автор: Joseph Bentsman Название: Signals, Instrumentation, Control, And Machine Learning: An Integrative Introduction ISBN: 9811252319 ISBN-13(EAN): 9789811252310 Издательство: World Scientific Publishing Рейтинг: Цена: 95040.00 T Наличие на складе: Поставка под заказ. Описание: This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs.All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts.The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.
Автор: Joseph Bentsman Название: Signals, Instrumentation, Control, And Machine Learning: An Integrative Introduction ISBN: 981125186X ISBN-13(EAN): 9789811251863 Издательство: World Scientific Publishing Рейтинг: Цена: 190080.00 T Наличие на складе: Поставка под заказ. Описание: This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs.All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts.The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.
Автор: Andr? Marion Название: Introduction to Image Processing ISBN: 0442312024 ISBN-13(EAN): 9780442312022 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Such developments follow naturally, since communication systems and image-forming systems are all designed to receive or transmit information. It is a question of systems theory, particularly linear systems, and of Fourier`s analysis methods, which together constitute an important part of Signal Theory.
Автор: Christoph Bartneck, Tony Belpaeme, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, Selma Sabanovic Название: Human-Robot Interaction: An Introduction ISBN: 1108735401 ISBN-13(EAN): 9781108735407 Издательство: Cambridge Academ Рейтинг: Цена: 52790.00 T Наличие на складе: Невозможна поставка. Описание: The role of robots in society keeps expanding and diversifying, from manufacturing, to vacuuming, to companionship. This broad overview designed for graduate courses introduces the full range of multidisciplinary topics from robotics, artificial intelligence, psychology, sociology, ethics, and design that are central to modern research in the area.
Автор: Barfoot Timothy D Название: State Estimation for Robotics ISBN: 1107159393 ISBN-13(EAN): 9781107159396 Издательство: Cambridge Academ Рейтинг: Цена: 95030.00 T Наличие на складе: Невозможна поставка. Описание: This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.
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