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Incremental Data Converters for Sensor Interfaces, Chia-Hung Chen, Gabor C. Temes


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Автор: Chia-Hung Chen, Gabor C. Temes   (Чиа-Хун Чен, Габор К. Темес)
Название:  Incremental Data Converters for Sensor Interfaces
Перевод названия: Чиа-Хун Чен, Габор К. Темес: Инкрементные преобразователи данных для сенсорных интерфейсов
ISBN: 9781394178384
Издательство: Wiley
Классификация:
ISBN-10: 1394178387
Обложка/Формат: Hardback
Страницы: 160
Вес: 0.50 кг.
Дата издания: 01.11.2023
Ссылка на Издательство: Link
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Поставляется из: Англии


Incremental Software Architecture: A Method for Saving Failing It Implementations

Автор: Bell Michael
Название: Incremental Software Architecture: A Method for Saving Failing It Implementations
ISBN: 111911764X ISBN-13(EAN): 9781119117643
Издательство: Wiley
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Цена: 6018.00 р.
Наличие на складе: Поставка под заказ.

Описание: The best-practices solution guide for rescuing broken software systems Incremental Software Architecture is a solutions manual for companies with underperforming software systems.

Data Classification and Incremental Clustering in Data Mining and Machine Learning

Автор: Chakraborty
Название: Data Classification and Incremental Clustering in Data Mining and Machine Learning
ISBN: 3030930904 ISBN-13(EAN): 9783030930905
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Na?ve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.

Data Classification and Incremental Clustering in Data Mining and Machine Learning

Автор: Chakraborty Sanjay, Islam Sk Hafizul, Samanta Debabrata
Название: Data Classification and Incremental Clustering in Data Mining and Machine Learning
ISBN: 3030930874 ISBN-13(EAN): 9783030930875
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.

Bounded Incremental Computation

Автор: G. Ramalingam
Название: Bounded Incremental Computation
ISBN: 354061320X ISBN-13(EAN): 9783540613206
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Incremental computation concerns the re-computation of output after a change in the input, whereas algorithms and programs usually derive their output directly from their input. This book investigates the concept of incremental computation and dynamic algorithms in general.

Sustained Innovation Management

Автор: Trauffler
Название: Sustained Innovation Management
ISBN: 0230001971 ISBN-13(EAN): 9780230001978
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Successful management of radical innovation is key to growth. This text identifies best practice cases illustrating processes, methods and organizational structures that enhance successful management with radical innovations. Practice cases are framed in an overall strategic management concept to help readers navigate through an innovation project.

Schedule Centered Planning: An Incremental Approach for Plan Driven Projects

Автор: McGevna Pmp Vincent
Название: Schedule Centered Planning: An Incremental Approach for Plan Driven Projects
ISBN: 0615596088 ISBN-13(EAN): 9780615596082
Издательство: Неизвестно
Цена: 4302.00 р.
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From Incremental to Exponential: How Large Companies Can See the Future and Rethink Innovation (16pt Large Print Edition)

Автор: Wadhwa Vivek, Amla Ismail, Salkever Alex
Название: From Incremental to Exponential: How Large Companies Can See the Future and Rethink Innovation (16pt Large Print Edition)
ISBN: 0369344065 ISBN-13(EAN): 9780369344069
Издательство: Неизвестно
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Цена: 5884.00 р.
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Incremental Speech Translation

Автор: Jan W. Amtrup
Название: Incremental Speech Translation
ISBN: 3540667539 ISBN-13(EAN): 9783540667537
Издательство: Springer
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Цена: 9781.00 р.
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Nonlinear Computational Structural Mechanics

Автор: Pierre Ladeveze; J.G. Simmonds
Название: Nonlinear Computational Structural Mechanics
ISBN: 146127141X ISBN-13(EAN): 9781461271413
Издательство: Springer
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Цена: 10448.00 р.
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Описание: Mechanical Engineering, an engineering discipline borne of the needs of the in- dustrial revolution, is once again asked to do its substantial share in the call for industrial renewal. The general call is urgent as we face profound issues of pro- ductivity and competitiveness that require engineering solutions, among others. The Mechanical Engineering Series features graduate texts and research mono- graphs intended to address the need for information in contemporary areas ofme- chanical engineering. The series is conceived as a comprehensive one that covers a broad range of concentrations important to mechanical engineering graduate education and re- search. We are fortunate to have a distinguished roster ofconsulting editors on the advisory board, each an expert in one ofthe areas ofconcentration. The names of the consulting editors are listed on the next page of this volume. The areas of concentration are applied mechanics, biomechanics, computational mechanics, dynamic systems and control, energetics, mechanics ofmaterials, processing, ther- mal science, and tribology. Frederick A. Leckie, the series editor for applied mechanics, and I are pleased to presentthis volume in the Series: Nonlinear Computational Structural Mechan- ics: New Approaches and Non-Incremental Methods of Calculation, by Pierre Ladeveze. The selection of this volume underscores again the interest of the Me- chanical Engineering series to provide our readers with topical monographs as well as graduate texts in a wide variety of fields.

Long-Term Modeled Projections of the Energy Sector: An Incremental Approach to Narrowing Down the Uncertainty Range

Автор: Kononov Yuri D.
Название: Long-Term Modeled Projections of the Energy Sector: An Incremental Approach to Narrowing Down the Uncertainty Range
ISBN: 303030535X ISBN-13(EAN): 9783030305352
Издательство: Springer
Цена: 11179.00 р.
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Описание: In closing, the book provides a detailed treatment of two essential research problems: 1) long-term forecasting for regional energy markets, and 2) the quantitative assessment of a) the barriers that are likely to hinder energy sector development and b) strategic-level energy security threats.

Incremental Polarization: A Unified Spatial Theory of Legislative Elections, Parties and Roll Call Voting

Автор: Buchler Justin
Название: Incremental Polarization: A Unified Spatial Theory of Legislative Elections, Parties and Roll Call Voting
ISBN: 0190865598 ISBN-13(EAN): 9780190865597
Издательство: Oxford Academ
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Цена: 10044.00 р.
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Описание: In Incremental Polarization, Justin Buchler fills critical gaps in our understanding of legislative polarization by crafting a unified spatial theory of legislative elections, parties, and roll call voting. He contends that we need to move beyond elections and factor in Congress members` behavior in roll call voting-where a different but related spatial continuum operates.

Incremental Learning for Motion Prediction of Pedestrians and Vehicles

Автор: Alejandro Dizan Vasquez Govea
Название: Incremental Learning for Motion Prediction of Pedestrians and Vehicles
ISBN: 3642136419 ISBN-13(EAN): 9783642136412
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book focuses on the problem of moving in a cluttered environment with pedestrians and vehicles. A framework based on Hidden Markov models is developed to learn typical motion patterns which can be used to predict motion on the basis of sensor data.


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