Soft Computing: Techniques in Engineering Sciences, Mangey Ram, Suraj B. Singh
Автор: Bate Название: The Design and Statistical Analysis of Animal Experiments ISBN: 1107690943 ISBN-13(EAN): 9781107690943 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to provide life scientists with a practical guide to using experimental design and statistics when running animal experiments. The chapters cover a range of design types and analysis techniques employed by practitioners, using non-mathematical terms and drawing on real-life examples.
Описание: This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Computer Engineering and Information Sciences.
Автор: Samei Ehsan Название: Handbook of Medical Image Perception and Techniques ISBN: 1107194881 ISBN-13(EAN): 9781107194885 Издательство: Cambridge Academ Рейтинг: Цена: 23285.00 р. Наличие на складе: Поставка под заказ.
Описание: A state-of-the-art review of key topics in medical image perception science and practice, including techniques and examples across clinical disciplines. Written by key figures in the field, this edition contains extensive updates and substantial new content, providing a comprehensive resource for experienced researchers, clinicians and newcomers.
Описание: This overview of the circuits, architectures, and chip packaging for coupled data techniques discusses current research in chip-to-board capacitive coupling, chip-to-chip capacitive coupling, chip-to-chip inductive coupling, and chip-to-chip optical coupling.
Описание: Offers an overview of advanced techniques to study atmospheric dynamics by numerical experimentation. This book is primarily intended for scientists and graduate students working on interdisciplinary research problems at the intersection of the atmospheric sciences, applied mathematics, statistics and physics.
Описание: This overview of the circuits, architectures, and chip packaging for coupled data techniques discusses current research in chip-to-board capacitive coupling, chip-to-chip capacitive coupling, chip-to-chip inductive coupling, and chip-to-chip optical coupling.
Автор: Igor Aleksander Название: Computing Techniques for Robots ISBN: 1468468634 ISBN-13(EAN): 9781468468632 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: ALEKSANDER Kobler Unit for Information Technology Management, Imperial College of Science and Technology, London, England It is now over half a decade since Joseph Engelberger wrote: `Given a six-articulation arm of any configuration, software can be powerful enough to think only in tool coordinates.
Описание: The present vol- ume, based mostly on his own work, is a milestone in the devel- opment of soft computing, integrating various disciplines from the fields of information science and engineering.
Автор: Warren J. Gross; Vincent C. Gaudet Название: Stochastic Computing: Techniques and Applications ISBN: 3030037290 ISBN-13(EAN): 9783030037291 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the history and recent developments of stochastic computing. Stochastic computing (SC) was first introduced in the 1960s for logic circuit design, but its origin can be traced back to von Neumann's work on probabilistic logic. In SC, real numbers are encoded by random binary bit streams, and information is carried on the statistics of the binary streams. SC offers advantages such as hardware simplicity and fault tolerance. Its promise in data processing has been shown in applications including neural computation, decoding of error-correcting codes, image processing, spectral transforms and reliability analysis.There are three main parts to this book. The first part, comprising Chapters 1 and 2, provides a history of the technical developments in stochastic computing and a tutorial overview of the field for both novice and seasoned stochastic computing researchers. In the second part, comprising Chapters 3 to 8, we review both well-established and emerging design approaches for stochastic computing systems, with a focus on accuracy, correlation, sequence generation, and synthesis. The last part, comprising Chapters 9 and 10, provides insights into applications in machine learning and error-control coding.
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