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Advances in Intelligent Systems Research and Innovation, Sgurev Vassil, Jotsov Vladimir, Kacprzyk Janusz


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Автор: Sgurev Vassil, Jotsov Vladimir, Kacprzyk Janusz
Название:  Advances in Intelligent Systems Research and Innovation
ISBN: 9783030781231
Издательство: Springer
Классификация:

ISBN-10: 3030781232
Обложка/Формат: Hardcover
Страницы: 501
Вес: 0.87 кг.
Дата издания: 15.09.2021
Серия: Studies in systems, decision and control
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 182 illustrations, color; 79 illustrations, black and white; vi, 496 p. 261 illus., 182 illus. in color.
Размер: 23.39 x 15.60 x 2.69 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.
Дополнительное описание: Balancing exploration and exploitation in forward model learning.- Multi-objective automatic clustering with gene rearrangement and cluster merging.- Implementation and experimental validation of the iec 63047 standard for data transfer in radiological an


Intelligent Systems: Theory, Research and Innovation in Applications

Автор: Jardim-Goncalves Ricardo, Sgurev Vassil, Jotsov Vladimir
Название: Intelligent Systems: Theory, Research and Innovation in Applications
ISBN: 3030387038 ISBN-13(EAN): 9783030387037
Издательство: Springer
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Цена: 93160.00 T
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Описание: Interpretable Convolutional Neural Networks using a rule-based framework for classification.- Smart Manufacturing Systems: A Game Theory.- Ensembles of Cluster Validation Indices for Label Noise Filtering.- Interpretation, Modeling, and Visualization of Crowdsourced Road Condition Data.- A New Network Flow Platform for Building Artificial Neural Networks.- Empowering SMEs with Cyber-Physical Production Systems: From Modelling a Polishing Process of Cutlery Production to CPPS Experimentation.- Intelligent Approach for Analysis of 3D Digitalization of Planer Objects for Visually Impaired People.- Semantically Enriched Multi-level Sequential Pattern Mining for Exploring Heterogeneous Event Log Data.- One Class Classification-based Anomaly Detection for Marine Engines.- Enhanced Methodologies in Photovoltaic Production with Energy Storage Systems Integrating Multi-cell Lithium-Ion Batterie.- Mobility in the Era of Digitalization: Thinking Mobility as a Service (MaaS).- Fuzzy Modelling Methodologies Based on OKID/ERA Algorithm Applied to Quadrotor Aerial Robots.- A Generic Architecture for Cyber-Physical-Social Space Applications.

Advances in Information and Intelligent Systems

Автор: Zbigniew W. Ras; William Ribarsky
Название: Advances in Information and Intelligent Systems
ISBN: 364204140X ISBN-13(EAN): 9783642041402
Издательство: Springer
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Цена: 181670.00 T
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Описание: Recent advances in complex systems, knowledge management, knowledge discovery, and visualization are presented in this review of intelligent systems. The methods and tools described are efficiently applicable to various types of data analysis issues.

Advances in Information and Intelligent Systems

Автор: Zbigniew W. Ras; William Ribarsky
Название: Advances in Information and Intelligent Systems
ISBN: 364226087X ISBN-13(EAN): 9783642260872
Издательство: Springer
Рейтинг:
Цена: 181670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent advances in complex systems, knowledge management, knowledge discovery, and visualization are presented in this review of intelligent systems. The methods and tools described are efficiently applicable to various types of data analysis issues.


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