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

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Level 3 Data Fusion
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Text Classification for Automatic Distribution of Review Notes in Movie Production
2
Extended Rank-Based Ant Colony Optimization Algorithm for Traveling Salesman Problem
2
Image Classification Using Contrastive Language-Image Pre-training: Application to Aerial Views of Power Line Infrastructures
3
A Realistic UAS Traffic Generation Tool to Evaluate and Optimize U-Space Airspace Capacity
3
Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction
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Application of Fuzzy Logic to the Risk Assessment of Production Machines Failures
4
UAV Airframe Classification Using Acceleration Spectrograms
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Tuning Process Noise in INS/GNSS Fusion for Drone Navigation Based on Evolutionary Algorithms
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First Approach of an Intelligent Automatic System for Aircraft Flap/Slat Positioning
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Fuzzy Aggregators in Practice: Meta-Model and Implementation
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Digital Twins of Production Systems Based on Discrete Simulation and Machine Learning Algorithms
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Edge Architecture for the Integration of Soft Models Based Industrial AI Control into Industry 4.0 Cyber-Physical Systems
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Model-Based Design of the IMO-NMPC Strategy: Real-Time Implementation
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The Use of Line Simplification and Vibration Suppression Algorithms to Improve the Quality of Determining the Indoor Location in RTLSs
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Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier
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Possibilities of Decision Support in Organizing Production Processes
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Neuron Characterization in Complex Cultures Using a Combined YOLO and U-Net Segmentation Approach
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Efficient Short-Term Time Series Forecasting with Regression Trees
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Effectiveness of Quantum Computing in Image Processing for Burr Detection
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Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks
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Categorization of CoAP DoS Attack Based on One-Class Boundary Methods
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Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning
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TinyNARM: Simplifying Numerical Association Rule Mining for Running on Microcontrollers
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Explaining Learned Patterns in Deep Learning by Association Rules Mining
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Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms
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A Deep Learning Ensemble for Ultrasonic Weld Quality Control
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Comparative Study of Regression Models Applied to the Prediction of Energy Generated by a Micro Wind Turbine
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Indoor Scenes Video Captioning
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Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction
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A Multimodal Dataset to Create Manufacturing Digital Twins
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Machine Learning Based System for Detecting Battery State-of-Health
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A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets
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Leveraging Smart Meter Data for Adaptive Consumer Profiling
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Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System
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Managing Pandemics Through Agent-Based Simulation: A Case Study Based on COVID-19
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Deep Learning-Based Emotion Detection in Aphasia Patients
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Missing Values Imputation for Visualizing the Air Quality Evolution During the COVID-19 Pandemic in Madrid
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Defect Detection in Batavia Woven Fabrics by Means of Convolutional Neural Networks
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Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting
21
An Image Mosaicing-Based Method for Bird Identification on Edge Computing Devices
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Neuroevolutionary Transfer Learning for Time Series Forecasting
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HoloDemtect: A Mixed Reality Framework for Cognitive Stimulation Through Interaction with Objects
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Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment
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Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds
23
Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia
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Lightweight Cosmetic Contact Lens Detection System for Iris Recognition at a Distance
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Deep Learning and Metaheuristic for Multivariate Time-Series Forecasting
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Vehicle Warning System Based on Road Curvature Effect Using CNN and LSTM Neural Networks
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An Approach to Enhance Time Series Forecasting by Fast Fourier Transform
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Comparative Study of Open Source Database Management Systems to Enable Predictive Maintenance of Autonomous Guided Vehicles
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Enhancing Time Series Anomaly Detection Using Discretization and Word Embeddings
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Integrated Forecast and Optimization for Retailer Allocation in a Two-Echelon Inventory System
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Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments
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On the Prediction of Anomalous Contaminant Diffusion
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Keeping Safe Distance from Obstacles for Autonomous Vehicles by Genetic Algorithms
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An Approach of Optimisation in Last Mile Delivery
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A Preliminary Study of MLSE/ACE-III Stages for Primary Progressive Aphasia Automatic Identification Using Speech Features
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Comparison of LSTM, GRU and Transformer Neural Network Architecture for Prediction of Wind Turbine Variables
33
The Impact of Data Normalization on the Accuracy of Machine Learning Algorithms: A Comparative Analysis
34
Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction
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