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Advances in Self-healing Systems Monitoring and Data Processing, Ruban


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Цена: 22359.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Ruban
Название:  Advances in Self-healing Systems Monitoring and Data Processing
ISBN: 9783030965488
Издательство: Springer
Классификация:



ISBN-10: 3030965481
Обложка/Формат: Soft cover
Страницы: 171
Вес: 0.29 кг.
Дата издания: 04.03.2023
Серия: Studies in Systems, Decision and Control
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 24 illustrations, color; 43 illustrations, black and white; v, 171 p. 67 illus., 24 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents the systematized research, development and improvement of methods in self-healing communication and control systems. The book presents new models and methods of data processing, focused on the specifics of self-healing systems. The goal is to equip the reader with the necessary knowledge about trends in monitoring and detecting failures, modelling processes and methods of data processing in self-healing communication and control systems.
Дополнительное описание: Self-healing Systems Monitoring.- Self-healing Systems Modelling.- Methods to Manage Data in Self-healing Systems.



Data-driven science and engineering

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 5300.00 р.
Наличие на складе: Есть (3 шт.)
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Artificial Intelligence for Signal Processing and Wireless Communication

Автор: Abhinav Sharma et al.
Название: Artificial Intelligence for Signal Processing and Wireless Communication
ISBN: 3110738821 ISBN-13(EAN): 9783110738827
Издательство: Walter de Gruyter
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Цена: 26024.00 р.
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Описание:

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.

De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.

Advanced Methods for Knowledge Discovery from Complex Data

Автор: Ujjwal Maulik; Lawrence B. Holder; Diane J. Cook
Название: Advanced Methods for Knowledge Discovery from Complex Data
ISBN: 1849969914 ISBN-13(EAN): 9781849969918
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools.

Deep Learning and Data Labeling for Medical Applications

Автор: Carneiro
Название: Deep Learning and Data Labeling for Medical Applications
ISBN: 3319469754 ISBN-13(EAN): 9783319469751
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.

The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.
Tracking and Sensor Data Fusion

Автор: Wolfgang Koch
Название: Tracking and Sensor Data Fusion
ISBN: 3642392709 ISBN-13(EAN): 9783642392702
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book provides an introduction to sensor data fusion, as an information technology as well as a branch of engineering science and informatics. It presents a coherent methodological framework and features advanced application examples.

Soft Computing in Big Data Processing

Автор: Keon Myung Lee; Seung-Jong Park; Jee-Hyong Lee
Название: Soft Computing in Big Data Processing
ISBN: 3319055267 ISBN-13(EAN): 9783319055268
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Considering a big size of data, variety of data and frequent changes of data, the intelligent systems basically challenge new data management tasks for integration, visualization, querying and analysis.

Data Complexity in Pattern Recognition

Автор: Mitra Basu; Tin Kam Ho
Название: Data Complexity in Pattern Recognition
ISBN: 1849965579 ISBN-13(EAN): 9781849965576
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.

Underwater Acoustic Data Processing

Автор: Y. T. Chan
Название: Underwater Acoustic Data Processing
ISBN: 9401075271 ISBN-13(EAN): 9789401075275
Издательство: Springer
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Цена: 57719.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute, Kingston, Ontario, Canada, July 18-29, 1988

Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition

Автор: Gaetano Valenza; Enzo Pasquale Scilingo
Название: Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition
ISBN: 3319026380 ISBN-13(EAN): 9783319026381
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This monograph reports on advances in the measurement and study of autonomic nervous system dynamics. It demonstrates methods useful for engineers and computer scientists in increasing the ability of machines to monitor and recognize human emotional states.

Modeling, Learning, and Processing of Text-Technological Data Structures

Автор: Alexander Mehler; Kai-Uwe K?hnberger; Henning Lobi
Название: Modeling, Learning, and Processing of Text-Technological Data Structures
ISBN: 3642269443 ISBN-13(EAN): 9783642269448
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication.

New Opportunities for Sentiment Analysis and Information Processing

Автор: Sharaff Aakanksha, Sinha G. R., Bhatia Surbhi
Название: New Opportunities for Sentiment Analysis and Information Processing
ISBN: 1799880621 ISBN-13(EAN): 9781799880622
Издательство: Mare Nostrum (Eurospan)
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Цена: 29522.00 р.
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Описание: Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital marketing not only changes the market game, but also brings forth new opportunities for skilled professionals and expertise. Currently, the technologies are rapidly changing, and artificial intelligence (AI) and machine learning are contributing as game-changing technologies. These are not only trending but are also increasingly popular among data scientists and data analysts.

New Opportunities for Sentiment Analysis and Information Processing provides interdisciplinary research in information retrieval and sentiment analysis including studies on extracting sentiments from textual data, sentiment visualization-based dimensionality reduction for multiple features, and deep learning-based multi-domain sentiment extraction. The book also optimizes techniques used for sentiment identification and examines applications of sentiment analysis and emotion detection. Covering such topics as communication networks, natural language processing, and semantic analysis, this book is essential for data scientists, data analysts, IT specialists, scientists, researchers, academicians, and students.


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