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Computational Intelligence and Quantitative Software Engineering, Pedrycz Witold, Succi Giancarlo, Sillitti Alberto


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Автор: Pedrycz Witold, Succi Giancarlo, Sillitti Alberto
Название:  Computational Intelligence and Quantitative Software Engineering
ISBN: 9783319798660
Издательство: Springer
Классификация:


ISBN-10: 3319798669
Обложка/Формат: Paperback
Страницы: 207
Вес: 0.31 кг.
Дата издания: 30.03.2018
Серия: Studies in computational intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 15 illustrations, color; 26 illustrations, black and white; ix, 207 p. 41 illus., 15 illus. in color.
Размер: 23.39 x 15.60 x 1.17 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: In a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced design of software artifacts.


Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 20446.00 р.
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Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Computational Intelligence and Quantitative Software Engineering

Автор: Witold Pedrycz; Giancarlo Succi; Alberto Sillitti
Название: Computational Intelligence and Quantitative Software Engineering
ISBN: 3319259628 ISBN-13(EAN): 9783319259628
Издательство: Springer
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Цена: 19591.00 р.
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Описание: In a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced design of software artifacts.

Computational Models for Cognitive Vision

Автор: Hiranmay Ghosh
Название: Computational Models for Cognitive Vision
ISBN: 1119527864 ISBN-13(EAN): 9781119527862
Издательство: Wiley
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Цена: 7754.00 р.
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Описание:

Learn how to apply cognitive principles to the problems of computer vision

Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in biological vision, and applies those models to computer vision tasks. Such principles include perceptual grouping, attention, visual quality and aesthetics, knowledge-based interpretation and learning, to name a few. The author's ultimate goal is to provide a framework for creation of a machine vision system with the capability and versatility of the human vision.

Written by Dr. Hiranmay Ghosh, the book takes readers through the basic principles and the computational models for cognitive vision, Bayesian reasoning for perception and cognition, and other related topics, before establishing the relationship of cognitive vision with the multi-disciplinary field broadly referred to as "artificial intelligence". The principles are illustrated with diverse application examples in computer vision, such as computational photography, digital heritage and social robots. The author concludes with suggestions for future research and salient observations about the state of the field of cognitive vision.

Other topics covered in the book include:

- knowledge representation techniques

- evolution of cognitive architectures

- deep learning approaches for visual cognition

Undergraduate students, graduate students, engineers, and researchers interested in cognitive vision will consider this an indispensable and practical resource in the development and study of computer vision.

Software Engineering with Computational Intelligence

Автор: Khoshgoftaar Taghi M
Название: Software Engineering with Computational Intelligence
ISBN: 1461350727 ISBN-13(EAN): 9781461350729
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The highly non-mechanical and intuitive nature of the human factor characterizes many of the problems associated with software engineering, including those observed in development effort estimation, software quality and reliability prediction, software design, and software testing.

Computer Interpretation of Metaphoric Phrases

Автор: Sylvia Weber Russell
Название: Computer Interpretation of Metaphoric Phrases
ISBN: 1501510657 ISBN-13(EAN): 9781501510656
Издательство: Walter de Gruyter
Цена: 11148.00 р.
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Описание: The computational approach of this book is aimed at simulating the human ability to understand various kinds of phrases with a novel metaphoric component. That is, interpretations of metaphor as literal paraphrases are based on literal meanings of the metaphorically used words. This method distinguishes itself from statistical approaches, which in general do not account for novel usages, and from efforts directed at metaphor constrained to one type of phrase or to a single topic domain. The more interesting and novel metaphors appear to be based on concepts generally represented as nouns, since such concepts can be understood from a variety of perspectives. The core of the process of interpreting nominal concepts is to represent them in such a way that readers or hearers can infer which aspect(s) of the nominal concept is likely to be intended to be applied to its interpretation. These aspects are defined in terms of verbal and adjectival predicates. A section on the representation and processing of part-sentence verbal metaphor will therefore also serve as preparation for the representation of salient aspects of metaphorically used nouns. As the ability to process metaphorically used verbs and nouns facilitates the interpretation of more complex tropes, computational analysis of two other kinds of metaphorically based expressions are outlined: metaphoric compound nouns, such as "idea factory" and, together with the representation of inferences, modified metaphoric idioms, such as "Put the cat back into the bag".

Software Engineering with Computational Intelligence

Автор: Jonathan Lee
Название: Software Engineering with Computational Intelligence
ISBN: 3642055958 ISBN-13(EAN): 9783642055959
Издательство: Springer
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Цена: 25853.00 р.
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Computational intelligence techniques and their applications to software engineering problems

Название: Computational intelligence techniques and their applications to software engineering problems
ISBN: 0367529742 ISBN-13(EAN): 9780367529741
Издательство: Taylor&Francis
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Цена: 21437.00 р.
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Описание: This book focusses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection, and so forth.

Artificial intelligence for computational modeling of the heart

Автор: Mansi, Tommaso Passerini, Tiziano
Название: Artificial intelligence for computational modeling of the heart
ISBN: 012817594X ISBN-13(EAN): 9780128175941
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.

  • Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications
  • Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data
  • Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation

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