Intelligent Systems and Methods to Combat Covid-19, Joshi Amit, Dey Nilanjan, Santosh K. C.

Автор: Judea Pearl
Название: Probabilistic Reasoning in Intelligent Systems,
ISBN: 1558604790 ISBN-13(EAN): 9781558604797
Издательство: Elsevier Science
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Цена: 63990.00 T
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Описание:

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.

Автор: Dariusz Kro?l
Название: Advanced topics in intelligent information and database systems.
ISBN: 3319566598 ISBN-13(EAN): 9783319566597
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book presents recent research in intelligent information and database systems. The carefully selected contributions were initially accepted for presentation as posters at the 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2017) held from to 5 April 2017 in Kanazawa, Japan. While the contributions are of an advanced scientific level, several are accessible for non-expert readers.

The book brings together 47 chapters divided into six main parts:* Part I. From Machine Learning to Data Mining.* Part II. Big Data and Collaborative Decision Support Systems,* Part III.

Computer Vision Analysis, Detection, Tracking and Recognition,* Part IV. Data-Intensive Text Processing,* Part V. Innovations in Web and Internet Technologies, and* Part VI.

New Methods and Applications in Information and Software Engineering. The book is an excellent resource for researchers and those working in algorithmics, artificial and computational intelligence, collaborative systems, decision management and support systems, natural language processing, image and text processing, Internet technologies, and information and software engineering, as well as for students interested in such research areas.

Автор: Sabu M. Thampi; Sushmita Mitra; Jayanta Mukhopadhy
Название: Intelligent Systems Technologies and Applications
ISBN: 3319683845 ISBN-13(EAN): 9783319683843
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA`17), September 13-16, 2017, Manipal, Karnataka, India. This proceedings contains 34 papers selected for presentation at the Symposium.

Автор: Alireza Hajian; Peter Styles
Название: Application of Soft Computing and Intelligent Methods in Geophysics
ISBN: 3030097749 ISBN-13(EAN): 9783030097745
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data.

Автор: Jorg Verstraete
Название: Artificial Intelligent Methods for Handling Spatial Data
ISBN: 3030002373 ISBN-13(EAN): 9783030002374
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data. It introduces the necessary concepts from spatial data processing and fuzzy rulebase systems and describes the issues experienced when using current regridding algorithms. The main focus of the book is on describing the different modifications needed to make the problem compatible with fuzzy rulebases. It offers a number of examples of out-of-the box thinking to handle aspects such as rulebase construction, defuzzification, spatial data comparison, etc. At first, the emphasis is put on the newly developed method, and additional datasets containing information on the underlying spatial distribution of the data are identified. After this, an artificial intelligent system (in the form of a fuzzy inference system) is constructed using this knowledge and then applied on the input data to perform the regridding. The book offers an example of how an apparently simple problem can pose many different challenges, even when trying to solve it with existing soft computing technologies. The workflow and solutions to solve these challenges are universal and may therefore be broadly applied into other contexts.

Автор: Behera, Laxmidhar , Kumar, Swagat , Patchaikani
Название: Intelligent Control of Robotic Systems
ISBN: 1138597716 ISBN-13(EAN): 9781138597716
Издательство: Taylor&Francis
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Цена: 188850.00 T
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Описание: Book focusses on development of advanced algorithms to realize smart robotic systems with strategies by which a robot can learn its own kinematics and dynamics from data, discussing stability of the systems and experimental validations. The book contains MATLAB based examples.

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

Автор: Li
Название: Artificial Intelligence with Uncertainty
ISBN: 1584889985 ISBN-13(EAN): 9781584889984
Издательство: Taylor&Francis
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Цена: 117390.00 T
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Описание: Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy.

Автор: Satchidananda Dehuri, Manas Ranjan Patra, Bijan Bihari Misral, Alok Kumar Jagadev
Название: Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods
ISBN: 1466625422 ISBN-13(EAN): 9781466625426
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Although recommendation systems have become a vital research area in the fields of cognitive science, approximation theory, information retrieval and management sciences, they still require improvements to make recommendation methods more effective and intelligent. <br><br><em>Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods</em> is a comprehensive collection of research on the latest advancements of intelligence techniques and their application to recommendation systems and how this could improve this field of study.

Автор: Radek Silhavy; Petr Silhavy; Zdenka Prokopova
Название: Computational and Statistical Methods in Intelligent Systems
ISBN: 3030002101 ISBN-13(EAN): 9783030002107
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.

Автор: Radek Silhavy; Petr Silhavy; Zdenka Prokopova
Название: Computational Statistics and Mathematical Modeling Methods in Intelligent Systems
ISBN: 3030313611 ISBN-13(EAN): 9783030313616
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems.This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.

Автор: Grambow Gregor, Oberhauser Roy, Reichert Manfred
Название: Advances in Intelligent Process-Aware Information Systems: Concepts, Methods, and Technologies
ISBN: 3319848402 ISBN-13(EAN): 9783319848402
Издательство: Springer
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Цена: 130430.00 T
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Описание: On the Fundamentals of Intelligent Process-Aware Information Systems.- Adaptive Process Management in Cyber-Physical Domains.- Towards Executable Specifications for Case Management Processes.- Towards Autonomically-Capable Processes.- Process-oriented Information Logistics: Requirements, Techniques, Application.- A Predictive Approach Enabling Process Execution Recommendations.- Reasoning about Process Models: What Description Logic Offers to Business Process Model Analysis.- Improving Process Portability through Metrics and Continuous Inspection.- Business Process Intelligence Tools.