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14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)

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Table of Contents

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    Book Overview
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    Chapter 1 Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering
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    Chapter 2 Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy
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    Chapter 3 Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models
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    Chapter 4 A Study on Trust in Black Box Models and Post-hoc Explanations
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    Chapter 5 A Study on Hyperparameter Configuration for Human Activity Recognition
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    Chapter 6 A Fuzzy Approach for Sentences Relevance Assessment in Multi-document Summarization
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    Chapter 7 Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model
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    Chapter 8 A Proposal for the Development of Lifelong Dialog Systems
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    Chapter 9 Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks
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    Chapter 10 Deep Learning in Modeling Energy Cost of Buildings in the Public Sector
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    Chapter 11 Framework for the Detection of Physiological Parameters with Musical Stimuli Based on IoT
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    Chapter 12 Edge Computing Architectures in Industry 4.0: A General Survey and Comparison
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    Chapter 13 Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application
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    Chapter 14 Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks
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    Chapter 15 Ensemble Deep Learning for Forecasting $$^{222}Rn$$ 222 R n Radiation Level at Canfranc Underground Laboratory
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    Chapter 16 Search of Extreme Episodes in Urban Ozone Maps
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    Chapter 17 A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data
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    Chapter 18 A Hybrid Approach for Short-Term NO 2 Forecasting: Case Study of Bay of Algeciras (Spain)
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    Chapter 19 Context-Aware Data Mining vs Classical Data Mining: Case Study on Predicting Soil Moisture
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    Chapter 20 DTW as Alignment Function in the Context of Time Series Balancing
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    Chapter 21 Feature Clustering to Improve Fall Detection: A Preliminary Study
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    Chapter 22 Creation of Synthetic Data with Conditional Generative Adversarial Networks
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    Chapter 23 Data Selection to Improve Anomaly Detection in a Component-Based Robot
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    Chapter 24 Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)?
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    Chapter 25 A Predictive Maintenance Model Using Recurrent Neural Networks
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    Chapter 26 Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data
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    Chapter 27 Characteristic of WiFi Network Based on Space Model with Using Turning Bands Co-simulation Method
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    Chapter 28 Inconsistency Detection on Data Communication Standards Using Information Extraction Techniques: The ABP Case
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    Chapter 29 Mobile Architecture for Forest Fire Simulation Using PhyFire-HDWind Model
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    Chapter 30 A Proposal of Robust Leak Localization in Water Distribution Networks Using Differential Evolution
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    Chapter 31 Neural Model of a Specific Single Proton Exchange Membrane PEM Fuel Cell
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    Chapter 32 A Hybrid Heuristic Algorithm for Multi-manned Assembly Line Balancing Problem with Location Constraints
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    Chapter 33 A Comparison Analysis of the Computer Simulation Results of a Real Production System
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    Chapter 34 Multiple Fault Diagnosis in Manufacturing Processes and Machines Using Probabilistic Boolean Networks
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    Chapter 35 Concurrent Planning and Scheduling of Heterogeneous Production System. Case Study
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    Chapter 36 Multi-domain, Advisory Computing System in Continuous Manufacturing Processes
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    Chapter 37 Assessment of Similarity of Elements as a Basis for Production Costs Estimation
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    Chapter 38 Outlier Generation and Anomaly Detection Based on Intelligent One-Class Techniques over a Bicomponent Mixing System
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    Chapter 39 Material Flow Optimization Using Milk Run System in Automotive Industry
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    Chapter 40 Smart PPE and CPE Platform for Electric Industry Workforce
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    Chapter 41 Acoustic Anomaly Detection Using Convolutional Autoencoders in Industrial Processes
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    Chapter 42 One-Class Classification to Predict the Success of Private-Participation Infrastructure Projects in Europe
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    Chapter 43 Optimizing a Bi-objective Vehicle Routing Problem Appearing in Industrial Enterprises
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    Chapter 44 An Industrial Application of Soft Computing for the Design of Personalized Call Centers
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    Chapter 45 A Preliminary Study on Multivariate Time Series Clustering
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    Chapter 46 Adaptive Fault-Tolerant Tracking Control Algorithm for IoT Systems: Smart Building Case Study
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    Chapter 47 Low Voltage Grid Operation Scheduling Considering Forecast Uncertainty
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    Chapter 48 Iterative Learning Control for a Hydraulic Cushion
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    Chapter 49 Opinion Mining to Detect Irony in Twitter Messages in Spanish
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    Chapter 50 An Efficient Soft Computing Approach for Solving the Two-Stage Transportation Problem with Fixed Costs
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    Chapter 51 Takagi-Sugeno Fuzzy Incremental State Model for Optimal Control of a Ball and Beam Nonlinear Model
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    Chapter 52 Time-Oriented System to Control Critical Medications
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    Chapter 53 An Introduction to Some Methods for Soft Computing in Fluid Dynamics
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    Chapter 54 A Data-Driven ROM Based on HODMD
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    Chapter 55 Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder
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    Chapter 56 Generating Three-Dimensional Fields from Two-Dimensional Soft Computing Strategies
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    Chapter 57 Low Cost Methods for Computing Instabilities in Boundary Layer Flows
Overall attention for this book and its chapters
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Title
14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
Published by
Springer International Publishing, July 2019
DOI 10.1007/978-3-030-20055-8
ISBNs
978-3-03-020054-1, 978-3-03-020055-8
Editors

Martínez Álvarez, Francisco, Troncoso Lora, Alicia, Sáez Muñoz, José António, Quintián, Héctor, Corchado, Emilio

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 23%
Student > Ph. D. Student 7 20%
Student > Bachelor 4 11%
Researcher 3 9%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 8 23%
Readers by discipline Count As %
Computer Science 15 43%
Engineering 10 29%
Social Sciences 1 3%
Nursing and Health Professions 1 3%
Design 1 3%
Other 0 0%
Unknown 7 20%