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Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions

Overview of attention for book
Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Energy Consumption Forecasting Using Ensemble Learning Algorithms
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    Chapter 2 Study of Multi-Tariff Influence on the Distributed Generation Remuneration
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    Chapter 3 Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level
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    Chapter 4 Capacitated Vehicle Routing Problem with Pick-up, Alternative Delivery and Time Windows (CVRPPADTW): A Hybrid Approach
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    Chapter 5 Predicting the Error of a Robot’s Positioning Repeatability with Artificial Neural Networks
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    Chapter 6 Assessing the Effectiveness of Using the MES in Manufacturing Enterprises in the Context of Industry 4.0
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    Chapter 7 Using the Simulation Method for Modelling a Manufacturing System of Predictive Maintenance
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    Chapter 8 UAV Mission Planning Subject to Weather Forecast Constraints
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    Chapter 9 Graph of Primitives Matching Problem in the World Wide Web CBIR Searching Using Query by Approximate Shapes
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    Chapter 10 Seabed Coverage Path Re-Routing for an Autonomous Surface Vehicle
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    Chapter 11 Multithreaded Application Model
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    Chapter 12 Modeling the Spread of Malware on Complex Networks
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    Chapter 13 Application of the Bayesian Model in Expert Systems
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    Chapter 14 Formal Representations of the Knowledge
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    Chapter 15 A Review of SEIR-D Agent-Based Model
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    Chapter 16 Proposed Models for Advanced Persistent Threat Detection: A Review
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    Chapter 17 A Global Classifier Implementation for Detecting Anomalies by Using One-Class Techniques over a Laboratory Plant
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    Chapter 18 Technical Evaluation of Plug-in Electric Vehicles Charging Load on a Real Distribution Grid
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    Chapter 19 An Agent-Based Approach for Market-Based Customer Reliability Enhancement in Distribution Systems
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    Chapter 20 Future of Smart Parking: Automated Valet Parking Using Deep Q-Learning
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    Chapter 21 Artificial Intelligence as a Way of Overcoming Visual Disorders: Damages Related to Visual Cortex, Optic Nerves and Eyes
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    Chapter 22 Adjusting the Framework of Multi-agent Systems (MAS) and Internet of Things (IoT) for Smart Power Grids
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    Chapter 23 Developing a Framework for Distributed and Multi-agent Management of Future Sustainable Energy Systems
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    Chapter 24 Edge Computing: A Review of Application Scenarios
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    Chapter 25 A New Approach: Edge Computing and Blockchain for Industry 4.0
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    Chapter 26 Internet of Things Platforms Based on Blockchain Technology: A Literature Review
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    Chapter 27 Deep Learning Techniques for Real Time Computer-Aided Diagnosis in Colorectal Cancer
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    Chapter 28 Trusted Data Transformation with Blockchain Technology in Open Data
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    Chapter 29 Electronic Textiles for Intelligent Prevention of Occupational Hazards
Overall attention for this book and its chapters
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1 X user

Citations

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Readers on

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52 Mendeley
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Title
Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-23946-6
ISBNs
978-3-03-023945-9, 978-3-03-023946-6
Editors

Enrique Herrera-Viedma, Zita Vale, Peter Nielsen, Angel Martin Del Rey, Roberto Casado Vara

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 23%
Student > Ph. D. Student 6 12%
Other 5 10%
Student > Postgraduate 4 8%
Professor > Associate Professor 4 8%
Other 8 15%
Unknown 13 25%
Readers by discipline Count As %
Computer Science 12 23%
Engineering 12 23%
Business, Management and Accounting 5 10%
Nursing and Health Professions 2 4%
Arts and Humanities 2 4%
Other 4 8%
Unknown 15 29%

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