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18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)

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Table of Contents

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    Book Overview
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    Chapter 1 Level 3 Data Fusion
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    Chapter 2 Image Classification Using Contrastive Language-Image Pre-training: Application to Aerial Views of Power Line Infrastructures
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    Chapter 3 A Realistic UAS Traffic Generation Tool to Evaluate and Optimize U-Space Airspace Capacity
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    Chapter 4 UAV Airframe Classification Using Acceleration Spectrograms
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    Chapter 5 Tuning Process Noise in INS/GNSS Fusion for Drone Navigation Based on Evolutionary Algorithms
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    Chapter 6 Digital Twins of Production Systems Based on Discrete Simulation and Machine Learning Algorithms
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    Chapter 7 Edge Architecture for the Integration of Soft Models Based Industrial AI Control into Industry 4.0 Cyber-Physical Systems
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    Chapter 8 The Use of Line Simplification and Vibration Suppression Algorithms to Improve the Quality of Determining the Indoor Location in RTLSs
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    Chapter 9 Possibilities of Decision Support in Organizing Production Processes
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    Chapter 10 Efficient Short-Term Time Series Forecasting with Regression Trees
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    Chapter 11 Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks
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    Chapter 12 Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning
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    Chapter 13 Explaining Learned Patterns in Deep Learning by Association Rules Mining
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    Chapter 14 A Deep Learning Ensemble for Ultrasonic Weld Quality Control
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    Chapter 15 Indoor Scenes Video Captioning
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    Chapter 16 A Multimodal Dataset to Create Manufacturing Digital Twins
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    Chapter 17 A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets
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    Chapter 18 Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System
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    Chapter 19 Deep Learning-Based Emotion Detection in Aphasia Patients
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    Chapter 20 Defect Detection in Batavia Woven Fabrics by Means of Convolutional Neural Networks
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    Chapter 21 An Image Mosaicing-Based Method for Bird Identification on Edge Computing Devices
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    Chapter 22 HoloDemtect: A Mixed Reality Framework for Cognitive Stimulation Through Interaction with Objects
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    Chapter 23 Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds
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    Chapter 24 Lightweight Cosmetic Contact Lens Detection System for Iris Recognition at a Distance
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    Chapter 25 Vehicle Warning System Based on Road Curvature Effect Using CNN and LSTM Neural Networks
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    Chapter 26 Enhancing Time Series Anomaly Detection Using Discretization and Word Embeddings
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    Chapter 27 Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments
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    Chapter 28 On the Prediction of Anomalous Contaminant Diffusion
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    Chapter 29 Keeping Safe Distance from Obstacles for Autonomous Vehicles by Genetic Algorithms
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    Chapter 30 An Approach of Optimisation in Last Mile Delivery
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    Chapter 31 A Preliminary Study of MLSE/ACE-III Stages for Primary Progressive Aphasia Automatic Identification Using Speech Features
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    Chapter 32 Comparison of LSTM, GRU and Transformer Neural Network Architecture for Prediction of Wind Turbine Variables
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    Chapter 33 The Impact of Data Normalization on the Accuracy of Machine Learning Algorithms: A Comparative Analysis
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    Chapter 34 Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction
Attention for Chapter 32: Comparison of LSTM, GRU and Transformer Neural Network Architecture for Prediction of Wind Turbine Variables
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Chapter title
Comparison of LSTM, GRU and Transformer Neural Network Architecture for Prediction of Wind Turbine Variables
Chapter number 32
Book title
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-42536-3_32
Book ISBNs
978-3-03-142535-6, 978-3-03-142536-3
Authors

Buestán-Andrade, Pablo-Andrés, Santos, Matilde, Sierra-García, Jesús-Enrique, Pazmiño-Piedra, Juan-Pablo

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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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Unspecified 1 25%
Unknown 3 75%