Fuzzy Transforms for Image Processing and Data Analysis: Core Concepts, Processes and Applications, Di Martino Ferdinando, Sessa Salvatore

Автор: Malarvel Muthukumaran, Nayak Soumya Ranjan, Panda Surya Narayan
Название: Machine Vision Inspection Systems, Image Processing, Concepts, Methodologies, and Applications
ISBN: 1119681804 ISBN-13(EAN): 9781119681809
Издательство: Wiley
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Цена: 167850.00 T
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Описание: Craig Larman again delivers a clear path for students to learn object-oriented analysis and design through his clear and precise writing style. Larman teaches newcomers to OOA/D learn how to "think in objects" by presenting three iterations of a single, cohesive case study, incrementally introducing the requirements and OOA/D activities, principles, and patterns that are most critical to success.

Автор: Emmanouil Amolochitis
Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining
ISBN: 8793609647 ISBN-13(EAN): 9788793609648
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.

Автор: Ostalczyk Piotr
Название: Discrete Fractional Calculus: Applications In Control And Image Processing
ISBN: 9814725668 ISBN-13(EAN): 9789814725668
Издательство: World Scientific Publishing
Цена: 141510.00 T
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Описание: The main subject of the monograph is the fractional calculus in the discrete version.

Название: Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications
ISBN: 1799804143 ISBN-13(EAN): 9781799804147
Издательство: Mare Nostrum (Eurospan)
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Цена: 2494800.00 T
Наличие на складе: Нет в наличии.
Описание: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Автор: D Jude Hemanth
Название: Recent advances on memetic algorithms and its applications in image processing
ISBN: 9811513619 ISBN-13(EAN): 9789811513619
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book includes original research findings in the field of memetic algorithms for image processing applications.

Автор: Hlavac Vaclav
Название: Image Processing, Analysis, and Machine Vision
ISBN: 1133593690 ISBN-13(EAN): 9781133593690
Издательство: Cengage Learning
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Цена: 88690.00 T
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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: Dumka, Ankur Ashok, Alaknanda (pantnagar, College Of Technology, G.b. Pant University Of Agriculture And Technology, Rudrapui, Uttarakhand, India) Ver
Название: Advanced digital image processing and its applications in data science
ISBN: 0367367688 ISBN-13(EAN): 9780367367688
Издательство: Taylor&Francis
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Цена: 84710.00 T
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Описание: This book covers the technology of digital image processing in various fields with big data and their application. Readers will understand various technologies and strategies used in digital image processing to handling big data using machine-learning technique as well.

Название: Natural Language Processing: Concepts, Methodologies, Tools, and Applications
ISBN: 179980951X ISBN-13(EAN): 9781799809517
Издательство: Mare Nostrum (Eurospan)
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Цена: 2263800.00 T
Наличие на складе: Нет в наличии.
Описание: As technology continues to become more sophisticated, a computer's ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries.

Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.

Автор: Jiri Jan
Название: Medical Image Processing, Reconstruction and Analysis: Concepts and Methods, Second Edition
ISBN: 113831028X ISBN-13(EAN): 9781138310285
Издательство: Taylor&Francis
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Цена: 224570.00 T
Наличие на складе: Невозможна поставка.
Описание: Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing, focusing namely on applications used in medical imaging – providing a theoretical yet clear and easy to follow explanation of underlying generic concepts. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction tobasic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining – without technical details – their basic principles influencing the properties of the obtained images, with emphasis placed on analyzing the internal signals and (pre)image data that are to be processed by the methods described in this book. Part III – Image Processing and Analysis focuses on such vital image processing topics as tomographic image reconstruction, image fusion, methods if image enhancement and restoration. It explains concepts of both fundamental-level image analysis detailing local feature, edge and texture analysis, image segmentation and morphological transforms, and higher-level analysis, as principal and independent component analysis and namely the new analysis area based on deep learning, namely that using convolutional neural networks. Briefly, also the medical image-processing environment is briefly treated, including the processes for image archiving and communication. Features Presents a good, theoretically exact yet understandable overview of basic theory related to image processing and analysis, with practical interpretations of all theoretical conclusions Provides a concise treatment of a wide variety of medical imaging modalities with respect to properties of image data to be processed Includes topical discussions on medical image reconstruction, fusion, enhancement and restoration as well as on image analysis including the recently appearing deep-learning based methods Explores appropriate applications relevant to particular chapters

Автор: Kreinovich Vladik
Название: Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen`s 75th Birthday
ISBN: 3030456188 ISBN-13(EAN): 9783030456184
Издательство: Springer
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Цена: 121110.00 T
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Описание: Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques.

Автор: Kosheleva Olga, Shary Sergey P., Xiang Gang
Название: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy Etc. Methods and Their Applications
ISBN: 303031040X ISBN-13(EAN): 9783030310400
Издательство: Springer
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Цена: 149060.00 T
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Описание: Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.

Автор: Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal
Название: Emerging Applications of Natural Language Processing: Concepts and New Research
ISBN: 1466621699 ISBN-13(EAN): 9781466621695
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking. This book compiles the latest discoveries and advances in NLP methodologies and applications while expanding upon various topics regarding the future of NLP.