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Creativity in Intelligent Technologies and Data Science

Overview of attention for book
Cover of 'Creativity in Intelligent Technologies and Data Science'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Designing AI Futures: A Symbiotic Vision
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    Chapter 2 Artificial Intelligence: Issues, Challenges, Opportunities and Threats
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    Chapter 3 On Approach for the Development of Patents Analysis Formal Metrics
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    Chapter 4 A New Approach to Reduce Time Consumption of Data Quality Assessment in the Field of Energy Consumption
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    Chapter 5 Decision Support System for the Socio-Economic Development of the Northern Part of the Volga-Akhtuba Floodplain (Russia)
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    Chapter 6 Modeling and Optimization of Proactive Management of the Production Pollutions in the Conditions of Information Asymmetry
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    Chapter 7 Making a Choice of Resulting Estimates of Characteristics with Multiple Options of Their Evaluation
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    Chapter 8 Adaptive Analysis of Merchant Big Data
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    Chapter 9 Big Data in the Stochastic Model of the Passengers Flow at the Megalopolis Transport System Stops
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    Chapter 10 Building a Company’s Maturity Management Trajectory Based on the Methods of Optimal Control of Letov-Kalman
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    Chapter 11 Networkalization of Network–Unlike Entities: How to Preserve Encoded Information
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    Chapter 12 HR Decision-Making Support Based on Natural Language Processing
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    Chapter 13 The Algorithm for the Classification of Methods for Processing Multidimensional Heterogeneous Data in Application to Designing of Oil Fields Development
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    Chapter 14 Detection of the Patterns in the Daily Route Choices of the Urban Social Transport System Clients Based on the Decoupling of Passengers’ Preferences Between the Levels of Uncertainty
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    Chapter 15 Analysis a Short-Term Time Series of Crop Sales Based on Machine Learning Methods
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    Chapter 16 A Multifactor Small Business Management Model
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    Chapter 17 Tourism Cluster Enterprises Departments’ Resource Management Based on Mobile Technologies
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    Chapter 18 The Information and Analytical Platform for the Big Data Mining About Innovation in the Region
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    Chapter 19 Meta-design of Processes Based on Visualization Tools
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    Chapter 20 Designing Zero-Energy Buildings Using Advanced Fuzzy Cognitive Maps
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    Chapter 21 The Evaluation Method of the Design Department’s Information Assets
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    Chapter 22 Technology Model to Support the Initiation of Innovation Artefacts
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    Chapter 23 Solving the Inverse Kinematics of Robotic Arm Using Autoencoders
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    Chapter 24 Structural and Parametrical Model of the Physical Functional Principle of the Microelectronic Capacitive Pressure Sensor
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    Chapter 25 Theoretical Bases of the Application of Various-Color Graphs in the Solution of Intellectual Chemical Tasks
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    Chapter 26 Forecasting and Optimization Internet of Things System
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    Chapter 27 Modeling a Microgrid Using Fuzzy Cognitive Maps
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    Chapter 28 Data-Driven Framework for Predictive Maintenance in Industry 4.0 Concept
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    Chapter 29 Method of Acquiring the Video Conference Using the Skill in Investigative Actions
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    Chapter 30 Development the Methodology of Urban Area Transport Coherence Assessment
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    Chapter 31 Cryptographic Protection of Data Transmission Channel
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    Chapter 32 Use of Fuzzy Neural Networks for a Short Term Forecasting of Traffic Flow Performance
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    Chapter 33 Effective Quaternion and Octonion Cryptosystems and Their FPGA Implementation
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    Chapter 34 Smart Contracts for Multi-agent Interaction of Regional Innovation Subjects
Attention for Chapter 5: Decision Support System for the Socio-Economic Development of the Northern Part of the Volga-Akhtuba Floodplain (Russia)
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Chapter title
Decision Support System for the Socio-Economic Development of the Northern Part of the Volga-Akhtuba Floodplain (Russia)
Chapter number 5
Book title
Creativity in Intelligent Technologies and Data Science
Published in
arXiv, September 2019
DOI 10.1007/978-3-030-29743-5_5
Book ISBNs
978-3-03-029742-8, 978-3-03-029743-5
Authors

Inessa I. Isaeva, Alexander A. Voronin, Alexander V. Khoperskov, Konstantin E. Dubinko, Anna Yu. Klikunova, Vladislav Levshinskii, Maxim Polyakov, Alexander Losev, Alexander Khoperskov, Isaeva, Inessa I., Voronin, Alexander A., Khoperskov, Alexander V., Dubinko, Konstantin E., Klikunova, Anna Yu.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 13%
Professor 1 13%
Student > Ph. D. Student 1 13%
Other 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 3 38%
Readers by discipline Count As %
Unspecified 1 13%
Computer Science 1 13%
Physics and Astronomy 1 13%
Social Sciences 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2019.
All research outputs
#20,577,025
of 23,154,520 outputs
Outputs from arXiv
#680,388
of 952,793 outputs
Outputs of similar age
#267,062
of 313,705 outputs
Outputs of similar age from arXiv
#19,952
of 28,383 outputs
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So far Altmetric has tracked 952,793 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 28,383 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.