Quality Recognition And Prediction


Quality Recognition And Prediction
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Quality Recognition And Prediction


Quality Recognition And Prediction
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Author : Shoichi Teshima
language : en
Publisher:
Release Date : 2012

Quality Recognition And Prediction written by Shoichi Teshima and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Technology & Engineering categories.


The Mahalanobis-Taguchi data handling and pattern recognition system is widely established - built and extended from the original quality control precepts of Genichi Taguchi. But the MT system is not always well understood. This new book makes the system much more vivid and concrete with real-life applications in a wide variety of disciplines from industry to general commerce. The book offers a clear computational method to show the user how to actually apply the system to real manufacturing control problems. With the renowned international industry background of the three authors and their historic ties to Genichi Taguchi, this book will bring a unique insight into how to get the most benefits from the MT System. The book offers: An overview of pattern recognition issues and the precepts of the MT system Explains the merits of the MT System and its computational methods Shows how to handle data with the MT System and extract useful information Provides a useful comparison of the advantages and disadvantages between traditional Artificial Intelligence systems and the MT system Provides case study examples of MT Systems applications



Pattern Recognition


Pattern Recognition
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Author : Wladyslaw Homenda
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-07

Pattern Recognition written by Wladyslaw Homenda and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-07 with Technology & Engineering categories.


A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have been mastered, and step-by-step instructions help ensure successful implementation of new processes. By positioning data quality as a factor to be dealt with rather than overcome, the framework provided serves as a valuable, versatile tool in the analysis arsenal. For decades, practical need has inspired intense theoretical and applied research into pattern recognition for numerous and diverse applications. Throughout, the limiting factor and perpetual problem has been data—its sheer diversity, abundance, and variable quality presents the central challenge to pattern recognition innovation. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book: Details fundamental pattern recognition concepts, including feature space construction, classifiers, rejection, and evaluation Provides a systematic examination of the concepts, design methodology, and algorithms involved in pattern recognition Includes numerous experiments, detailed schemes, and more advanced problems that reinforce complex concepts Acts as a self-contained primer toward advanced solutions, with detailed background and step-by-step processes Introduces the concept of granules and provides a framework for granular computing Pattern recognition plays a pivotal role in data analysis and data mining, fields which are themselves being applied in an expanding sphere of utility. By facing the data quality issue head-on, this book provides students, practitioners, and researchers with a clear way forward amidst the ever-expanding data supply.



Quality Of Telephone Based Spoken Dialogue Systems


Quality Of Telephone Based Spoken Dialogue Systems
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Author : Sebastian Möller
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-28

Quality Of Telephone Based Spoken Dialogue Systems written by Sebastian Möller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-28 with Technology & Engineering categories.


Quality of Telephone-Based Spoken Dialogue Systems is a systematic overview of assessment, evaluation, and prediction methods for the quality of services such as travel and touristic information, phone-directory and messaging, or telephone-banking services. A new taxonomy of quality-of-service is presented which serves as a tool for classifying assessment and evaluation methods, for planning and interpreting evaluation experiments, and for estimating quality. A broad overview of parameters and evaluation methods is given, both on a system-component level and for a fully integrated system. Three experimental investigations illustrate the relationships between system characteristics and perceived quality. The resulting information is needed in all phases of system specification, design, implementation, and operation. Although Quality of Telephone-Based Spoken Dialogue Systems is written from the perspective of an engineer in telecommunications, it is an invaluable source of information for professionals in signal processing, communication acoustics, computational linguistics, speech and language sciences, human factor design and ergonomics



Introduction To Protein Structure Prediction


Introduction To Protein Structure Prediction
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Author : Huzefa Rangwala
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-16

Introduction To Protein Structure Prediction written by Huzefa Rangwala and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-16 with Science categories.


A look at the methods and algorithms used to predict protein structure A thorough knowledge of the function and structure of proteins is critical for the advancement of biology and the life sciences as well as the development of better drugs, higher-yield crops, and even synthetic bio-fuels. To that end, this reference sheds light on the methods used for protein structure prediction and reveals the key applications of modeled structures. This indispensable book covers the applications of modeled protein structures and unravels the relationship between pure sequence information and three-dimensional structure, which continues to be one of the greatest challenges in molecular biology. With this resource, readers will find an all-encompassing examination of the problems, methods, tools, servers, databases, and applications of protein structure prediction and they will acquire unique insight into the future applications of the modeled protein structures. The book begins with a thorough introduction to the protein structure prediction problem and is divided into four themes: a background on structure prediction, the prediction of structural elements, tertiary structure prediction, and functional insights. Within those four sections, the following topics are covered: Databases and resources that are commonly used for protein structure prediction The structure prediction flagship assessment (CASP) and the protein structure initiative (PSI) Definitions of recurring substructures and the computational approaches used for solving sequence problems Difficulties with contact map prediction and how sophisticated machine learning methods can solve those problems Structure prediction methods that rely on homology modeling, threading, and fragment assembly Hybrid methods that achieve high-resolution protein structures Parts of the protein structure that may be conserved and used to interact with other biomolecules How the loop prediction problem can be used for refinement of the modeled structures The computational model that detects the differences between protein structure and its modeled mutant Whether working in the field of bioinformatics or molecular biology research or taking courses in protein modeling, readers will find the content in this book invaluable.



Assessment And Prediction Of Speech Quality In Telecommunications


Assessment And Prediction Of Speech Quality In Telecommunications
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Author : Sebastian Möller
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Assessment And Prediction Of Speech Quality In Telecommunications written by Sebastian Möller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


The quality of a telecommunication voice service is largely inftuenced by the quality of the transmission system. Nevertheless, the analysis, synthesis and prediction of quality should take into account its multidimensional aspects. Quality can be regarded as a point where the perceived characteristics and the desired or expected ones meet. A schematic is presented which classifies different entities which contribute to the quality of a service, taking into account conversational, user as weIl as service related contributions. Starting from this concept, perceptively relevant constituents of speech communication quality are identified. The perceptive factors result from ele ments of the transmission configuration. A simulation model is developed and implemented which allows the most relevant parameters of traditional trans mission configurations to be manipulated, in real time and for the conversation situation. Inputs into the simulation are instrumentally measurable quality elements commonly used in transmission planning of telephone networks. A reduced set of these quality elements forms a basis for models which aim at predicting mouth-to-ear quality as it would be perceived by a user of the sys tem. These models are an important tool for the planner of telecommunication networks, as they allow the expected quality to be estimated in advance, even before the network has been set up. Two well-known models (the SUBMOD and the E-model) are analyzed in more detail, with an emphasis on the psy choacoustic and psychophysical backgrounds.



Deep Learning Based Speech Quality Prediction


Deep Learning Based Speech Quality Prediction
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Author : Gabriel Mittag
language : en
Publisher: Springer Nature
Release Date : 2022-02-24

Deep Learning Based Speech Quality Prediction written by Gabriel Mittag and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Technology & Engineering categories.


This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advancements in machine learning can be leveraged for the task of speech quality prediction and provides an in-depth analysis of the suitability of different deep learning architectures for this task. The author then shows how the resulting model outperforms traditional speech quality models and provides additional information about the cause of a quality impairment through the prediction of the speech quality dimensions of noisiness, coloration, discontinuity, and loudness.



Ecai 2010


Ecai 2010
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Author : European Coordinating Committee for Artificial Intelligence
language : en
Publisher: IOS Press
Release Date : 2010

Ecai 2010 written by European Coordinating Committee for Artificial Intelligence and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.


LC copy bound in 2 v.: v. 1, p. 1-509; v. 2, p. [509]-1153.



Advances In Signal Processing Reviews Book Series Vol 1


Advances In Signal Processing Reviews Book Series Vol 1
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Author : Sergey Yurish
language : en
Publisher: Lulu.com
Release Date : 2018-11-25

Advances In Signal Processing Reviews Book Series Vol 1 written by Sergey Yurish and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-25 with Technology & Engineering categories.


The principles of signal processing are using widely in telecommunications, control systems, sensors, smartphones, tablets, TV, video- and photo-cameras, computers, audio systems, etc. Written by 43 experienced and well-respected experts from universities, research centres and industry from 14 countries: Argentina, Australia, Brazil, China, Ecuador, France, Japan, Poland, Portugal, Spain, Switzerland, UK, Ukraine and USA the 'Advances is Signal Processing: Reviews', Vol. 1, Book Series, contains 13 chapters from the signals and systems theory to real-world applications. The authors discuss existing issues and ways to overcome these problems as well as the new challenges arising in the field. The book concludes with methods for the efficient implementation of algorithms in hardware and software. The advantages and disadvantages of different approaches are presented in the context of practical examples.



Protein Structure Prediction


Protein Structure Prediction
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Author : Anna Tramontano
language : en
Publisher: John Wiley & Sons
Release Date : 2006-02-20

Protein Structure Prediction written by Anna Tramontano and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-20 with Medical categories.


While most textbooks on bioinformatics focus on genetic algorithms and treat protein structure prediction only superficially, this course book assumes a novel and unique focus. Adopting a didactic approach, the author explains all the current methods in terms of their reliability, limitations and user-friendliness. She provides practical examples to help first-time users become familiar with the possibilities and pitfalls of computer-based structure prediction, making this a must-have for students and researchers.



Intelligent Virtual Agents


Intelligent Virtual Agents
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Author : Yukiko Nakano
language : en
Publisher: Springer
Release Date : 2012-09-19

Intelligent Virtual Agents written by Yukiko Nakano and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-19 with Computers categories.


This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Virtual Agents, IVA 2012, held in Santa Cruz, CA, USA, in September 2012. The 17 revised full papers presented together with 31 short papers and 18 poster papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on IVAs on learning environments; emotion and personality; evaluation and empirical studies; multimodal perception and expression; narrative and interactive applications; social interaction; authoring and tools; conceptual frameworks.