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17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)

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Table of Contents

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    Book Overview
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    Chapter 1 Anomaly Detection of Security Threats to Cyber-Physical Systems: A Study
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    Chapter 2 Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches
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    Chapter 3 Estimation of Lamb Weight Using Transfer Learning and Regression
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    Chapter 4 UAV Simulation for Object Detection and 3D Reconstruction Fusing 2D LiDAR and Camera
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    Chapter 5 A SO 2 Pollution Concentrations Prediction Approach Using Autoencoders
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    Chapter 6 CPU Computation Influence on Energy Consumption Forecasting Activities of a Building
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    Chapter 7 Python-Based Ecosystem for Agent Communities Simulation
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    Chapter 8 Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain)
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    Chapter 9 A Hybrid Discrete Symbiotic Organisms Search Algorithm and List-Based Simulated Annealing Algorithm for Traveling Salesman Problem
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    Chapter 10 Estimation of Distribution Algorithms Applied to the Next Release Problem
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    Chapter 11 An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem
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    Chapter 12 Dimensional Reduction Applied to an Intelligent Model for Boost Converter Switching Operation
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    Chapter 13 Intuitionistic Fuzzy Sets in J-CO-QL $$^+$$ + ?
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    Chapter 14 Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification
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    Chapter 15 Blockchain for Supply Chain Traceability with Data Validation
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    Chapter 16 Compression of Clustered Ship Trajectories for Context Learning and Anomaly Detection
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    Chapter 17 DR Participants’ Actual Response Prediction Using Artificial Neural Networks
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    Chapter 18 Non-linear Neural Models to Predict HRC Steel Price in Spain
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    Chapter 19 First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data
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    Chapter 20 Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators
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    Chapter 21 Regression Techniques to Predict the Growth of Potato Tubers
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    Chapter 22 Reliability-Sensitive Optimization for Provision of Ancillary Services by Tempo-Spatial Correlated Distributed Energy Resources
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    Chapter 23 Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques
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    Chapter 24 The Impact of Content Deletion on Tabular Data Similarity Using Contextual Word Embeddings
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    Chapter 25 Deep Learning-Based Dementia Prediction Using Multimodal Data
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    Chapter 26 Lightweight Models in Face Attribute Recognition: Performance Under Oclussions
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    Chapter 27 Small Vessel Detection in Changing Seaborne Environments Using Anchor-Free Detectors on Aerial Images
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    Chapter 28 Improving Malware Detection with a Novel Dataset Based on API Calls
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    Chapter 29 Identifying Places Using Multimodal Social Network Data
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    Chapter 30 Monitoring Human Performance Through Deep Learning and Computer Vision in Industry 4.0
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    Chapter 31 Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning
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    Chapter 32 Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks
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    Chapter 33 Image Classification Applied to the Problem of Conformity Check in Industry
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    Chapter 34 A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation
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    Chapter 35 Convolutional Neural Networks for Structured Industrial Data
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    Chapter 36 Classification of Polymers Based on the Degree of Their Transparency in SWIR Spectrum
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    Chapter 37 Deep Learning Based Baynat Foam Classification for Headliners Manufacturing
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    Chapter 38 A GAN Approach for Anomaly Detection in Spacecraft Telemetries
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    Chapter 39 Management and Forecasting of the Demand for Caskets in the Funeral Sector. Study Before and During the Covid-19 Pandemic
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    Chapter 40 Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem
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    Chapter 41 A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia
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    Chapter 42 Abnormal Driving Behavior Identification Based on Naturalistic Driving Data Using LSTM Recurrent Neural Networks
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    Chapter 43 Identification of Critical Subgraphs in Drone Airways Graphs by Graph Convolutional Networks
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    Chapter 44 Robust Velocity Control of an Automated Guided Vehicle Using Artificial Neural Networks
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    Chapter 45 Studying the Use of ANN to Estimate State-Space Variables for MIMO Systems in a NMPC Strategy
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    Chapter 46 Control of MIMO Systems with iMO-NMPC Strategy
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    Chapter 47 Optimization of Trajectory Generation for Automatic Guided Vehicles by Genetic Algorithms
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    Chapter 48 Complementing Direct Speed Control with Neural Networks for Wind Turbine MPPT
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    Chapter 49 A Control Approach on Hybrid Floating Offshore Wind Turbines for Platform and Generated Power Oscillations Reduction at Below-rated Wind Speed
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    Chapter 50 Control Tuning by Genetic Algorithm of a Low Scale Model Wind Turbine
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    Chapter 51 Pitch-Based Wind Turbine Tower Vibration Damping Optimized by Simulated Annealing
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    Chapter 52 Neural Networks Techniques for Fault Detection and Offset Prediction on Wind Turbines Sensors
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    Chapter 53 Errors of Identifiers in Anonymous Databases: Impact on Data Quality
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    Chapter 54 Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
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    Chapter 55 Classification Methods for MOBA Games
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    Chapter 56 Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS) $$\wedge $$ ∧ FSo
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    Chapter 57 Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach
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    Chapter 58 Case-Based Reasoning for the Prediction of Flash Flood
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    Chapter 59 Weakly Supervised Learning of the Motion Resistance of a Locomotive Powered by Liquefied Natural Gas
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    Chapter 60 Node Location Optimization for Localizing UAVs in Urban Scenarios
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    Chapter 61 Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments
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    Chapter 62 A Comparison of Two Speech Emotion Recognition Algorithms: Pepper Humanoid Versus Bag of Models
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    Chapter 63 Fine-Tuning of Optimisation Parameters in a Firefly Algorithm in Inventory Management
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    Chapter 64 Security Centric Scalable Architecture for Distributed Learning and Knowledge Preservation
Overall attention for this book and its chapters
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Title
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)
Published by
Springer Nature Switzerland, October 2022
DOI 10.1007/978-3-031-18050-7
ISBNs
978-3-03-118049-1, 978-3-03-118050-7
Editors

García Bringas, Pablo, Pérez García, Hilde, Martinez-de-Pison, Francisco Javier, Villar Flecha, José Ramón, Troncoso Lora, Alicia, de la Cal, Enrique A., Herrero, Álvaro, Martínez Álvarez, Francisco, Psaila, Giuseppe, Quintián, Héctor, Corchado Rodriguez, Emilio S.

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