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10th International Conference on Soft Computing Models in Industrial and Environmental Applications / / edited by Álvaro Herrero, Javier Sedano, Bruno Baruque, Héctor Quintián, Emilio Corchado
10th International Conference on Soft Computing Models in Industrial and Environmental Applications / / edited by Álvaro Herrero, Javier Sedano, Bruno Baruque, Héctor Quintián, Emilio Corchado
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (471 p.)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-319-19719-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applications -- Classification and Clustering Methods -- Evolutionary Computation and Optimization -- Intelligent Systems -- SOCO15-SS01: Soft Computing Methods in Bioinformatics -- SOCO15-SS02: Optimization, Modeling and Control Systems (OMCS) -- SOCO15-SS03: Soft Computing Approaches for Knowledge Extraction -- SOCO15-SS04: Soft Computing Methods in Manufacturing and Management Systems.
Record Nr. UNINA-9910733713003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
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The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020) / / edited by Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020) / / edited by Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (450 pages)
Disciplina 371.33
378.016
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Engineering—Data processing
Education
Computational Intelligence
Data Engineering
Education, general
ISBN 3-030-57799-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910733724103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) ; Burgos, Spain, September 2020 / / editors, Álvaro Herrero [et al.]
13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) ; Burgos, Spain, September 2020 / / editors, Álvaro Herrero [et al.]
Edizione [1st edition 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (xvii, 472 pages) : illustrations
Disciplina 005.8
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Computer networks - Security measures
Computer security
ISBN 3-030-57805-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910733719103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) ; Burgos, Spain, September 2020 / / editors, Álvaro Herrero [et al.]
13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) ; Burgos, Spain, September 2020 / / editors, Álvaro Herrero [et al.]
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer International Publishing, 2021
Descrizione fisica 1 online resource (xvii, 472 pages) : illustrations
Disciplina 005.8
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Computer networks - Security measures
Computer security
ISBN 3-030-57805-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910863154003321
Springer International Publishing, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021)
14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021)
Autore Gude Prego Juan José
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (430 pages)
Altri autori (Persone) de la PuertaJosé Gaviria
García BringasPablo
QuintiánHéctor
CorchadoEmilio
Collana Advances in Intelligent Systems and Computing Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-87872-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational
Record Nr. UNINA-9910502666703321
Gude Prego Juan José  
Cham : , : Springer International Publishing AG, , 2021
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14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) : Seville, Spain, May 13–15, 2019, Proceedings / / edited by Francisco Martínez Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado
14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) : Seville, Spain, May 13–15, 2019, Proceedings / / edited by Francisco Martínez Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (617 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-030-20055-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484584203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) ; Burgos, Spain ; September 2020 / / editors, Álvaro Herrero [et al.]
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) ; Burgos, Spain ; September 2020 / / editors, Álvaro Herrero [et al.]
Edizione [1st edition 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (xxvii, 876 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Soft computing
Transnational education
ISBN 3-030-57802-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910733719003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) ; Burgos, Spain ; September 2020 / / editors, Álvaro Herrero [et al.]
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) ; Burgos, Spain ; September 2020 / / editors, Álvaro Herrero [et al.]
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer International Publishing, 2021
Descrizione fisica 1 online resource (xxvii, 876 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Soft computing
Transnational education
ISBN 3-030-57802-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910863154103321
Springer International Publishing, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
Autore Sanjurjo González Hugo
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (840 pages)
Altri autori (Persone) Pastor LópezIker
García BringasPablo
QuintiánHéctor
CorchadoEmilio
Collana Advances in Intelligent Systems and Computing Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-87869-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti 16th International Conference on Soft Computing Models in Industrial and Environmental Applications
Record Nr. UNINA-9910502650603321
Sanjurjo González Hugo  
Cham : , : Springer International Publishing AG, , 2021
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18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) [[electronic resource] ] : Salamanca, Spain, September 5–7, 2023, Proceedings, Volume 1 / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) [[electronic resource] ] : Salamanca, Spain, September 5–7, 2023, Proceedings, Volume 1 / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
Autore García Bringas Pablo
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (305 pages)
Disciplina 006.3
Altri autori (Persone) Pérez GarcíaHilde
Martínez de PisónFrancisco Javier
Martínez ÁlvarezFrancisco
Troncoso LoraAlicia
HerreroÁlvaro
Calvo RolleJosé Luis
QuintiánHéctor
CorchadoEmilio
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Industrial engineering
Production engineering
Computational Intelligence
Industrial and Production Engineering
ISBN 3-031-42529-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Deep Learning, Fuzzy Logic and Evolutionary Computation -- Text Classification for Automatic Distribution of Review Notes in Movie Production -- 1 Introduction -- 2 Dataset -- 3 Methodology -- 3.1 Data Cleaning -- 3.2 Label Estimation -- 3.3 Tokenization -- 3.4 Classification -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- Extended Rank-Based Ant Colony Optimization Algorithm for Traveling Salesman Problem -- 1 Introduction -- 2 Ant Colony Optimization -- 3 Proposed ACO Algorithm Plus Local Search -- 4 Results -- 5 Conclusions and Future Work -- References -- Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction -- 1 Introduction -- 2 Materials and Methods -- 2.1 TNM Model and Its Parameters -- 2.2 Multi-scale Convolutional Neural Model -- 2.3 Dataset -- 3 Experiments and Results -- 3.1 Training Details -- 3.2 Evaluation of Multi-scale Neural Model -- 4 Conclusion -- References -- Application of Fuzzy Logic to the Risk Assessment of Production Machines Failures -- 1 Introduction -- 2 Linguistic Values and Its Analysis in Risk Assessment -- 3 Fuzzy FMEA in the Risk Assessment of Production Downtime -- 4 Conclusion -- References -- First Approach of an Intelligent Automatic System for Aircraft Flap/Slat Positioning -- 1 Introduction -- 2 Brief State of the Art -- 3 Description of the Problem Addressed -- 4 Automation of the Flap/Slat Positioning System -- 4.1 General System Architecture -- 4.2 Fuzzy Decision Block -- 5 Simulation Results and Discussion -- 6 Conclusions and Future Works -- References -- Fuzzy Aggregators in Practice: Meta-Model and Implementation -- 1 Introduction -- 2 Background -- 3 Meta-Modeling Fuzzy Aggregators -- 4 Novel Constructs in J-CO-QL+ and Case Study -- 4.1 Case Study.
4.2 Declaring Fuzzy Operator and Fuzzy Aggregators -- 4.3 Soft Querying -- 5 Conclusions -- References -- Machine Learning and Data Mining -- Model-Based Design of the IMO-NMPC Strategy: Real-Time Implementation -- 1 Introduction -- 2 Workflow: From Simulation to Real-Time Execution -- 2.1 Phases -- 3 iMO-NMPC Strategy Implementation -- 4 Experiments -- 4.1 PHASE 3: Simulink Desktop Real-Time Experiments -- 4.2 PHASE 4: Simulink Real-Time Experiments -- 5 Results -- 5.1 SNL1/SNL5 SISO System Simulink Desktop Real-Time -- 5.2 SNL1/SNL5 SISO System Simulink Real-Time (Speedgoat) -- 5.3 SNL1-SNL1 MIMO System Simulink Real-Time (Speedgoat) -- 5.4 SNL1-SNL5 MIMO System Simulink Real-Time (Speedgoat) -- 6 Conclusions -- References -- Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier -- 1 Introduction -- 2 Materials and Methods -- 2.1 Principal Component Analysis (PCA) -- 2.2 Artificial Neural Networks (ANNs) and Bayesian Optimization -- 3 Results and Discussion -- 4 Conclusions -- References -- Neuron Characterization in Complex Cultures Using a Combined YOLO and U-Net Segmentation Approach -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods -- 3.1 Experimental Setup -- 3.2 Experimental Procedure -- 4 Results and Discussion -- References -- Effectiveness of Quantum Computing in Image Processing for Burr Detection -- 1 Introduction -- 2 Quantum Computing -- 3 Burr Detection -- 4 Proposed Architecture -- 5 Experimental Results -- 6 Conclusions -- References -- Categorization of CoAP DoS Attack Based on One-Class Boundary Methods -- 1 Introduction -- 2 Case Study -- 3 Methods -- 3.1 Approximate Convex Hull -- 3.2 K Nearest Neighborhood -- 3.3 One-Class Support Vector Machine -- 4 Experiments -- 5 Results -- 6 Conclusions and Future Works -- References.
TinyNARM: Simplifying Numerical Association Rule Mining for Running on Microcontrollers -- 1 Introduction -- 2 Basic Information -- 2.1 Numerical Association Rule Mining -- 2.2 Classical NARM Using Evolutionary Approaches -- 2.3 TinyML -- 3 TinyNARM -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Experimental Environment -- 4.3 Results -- 4.4 Discussion -- 5 Conclusion -- References -- Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms -- 1 Introduction -- 2 Biological Methanation Model and Optimization -- 2.1 Extended Anaerobic Digestion Model (ADM1 ME) -- 2.2 Optimal Operation -- 2.3 ADM1 ME Disturbances and Dataset Generation -- 3 Results and Discussion -- 4 Conclusions and Future Work -- References -- Soft Computing Applications -- Comparative Study of Regression Models Applied to the Prediction of Energy Generated by a Micro Wind Turbine -- 1 Introduction -- 2 Case Study -- 2.1 Sotavento Experimental Bioclimatic House -- 2.2 Dataset -- 3 Applied Methods -- 4 Experiment Setup and Results -- 4.1 Experiments Setup -- 4.2 Metrics -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction -- 1 Introduction -- 2 Wastewater Treatment Plant Under Study -- 3 Applied Methods -- 3.1 Feature Selection -- 3.2 Regression Techniques -- 4 Experiments and Results -- 4.1 Experiment's Setup -- 4.2 Results -- 4.3 Analysis of Results -- 5 Conclusions and Future Work -- References -- Machine Learning Based System for Detecting Battery State-of-Health -- 1 Introduction -- 2 Case Study -- 3 Materials and Methods -- 3.1 Random Forest -- 3.2 Multilayer Perceptron -- 3.3 K-Nearest Neighbors -- 3.4 Gaussian Process Classifier -- 3.5 Support Vector Classifier -- 4 Experimental Setup -- 5 Results and Analysis.
6 Conclusions and Future Work -- References -- Leveraging Smart Meter Data for Adaptive Consumer Profiling -- 1 Introduction -- 2 Related Work -- 3 Workflow for Adaptive Clustering Pipeline -- 3.1 General Approach -- 3.2 Dataset for Analysis -- 3.3 Description of the Data Pipeline -- 4 Data Analysis -- 4.1 Ground Truth Cluster Selection and Analysis -- 4.2 Cold-Start Analysis -- 5 Conclusions -- References -- Managing Pandemics Through Agent-Based Simulation: A Case Study Based on COVID-19 -- 1 Managing Pandemics: A Challenging Decision-Making Process -- 2 Review of Simulation Tools to Model Pandemics Evolution -- 3 Modelling Pandemics Evolution Through an Agent-Based Model -- 3.1 Disease Spread Modelling -- 3.2 Disease Evolution and Impact on Healthcare System -- 3.3 Modelling Pharmacological and Non-Pharmacological Measures -- 4 Prototype Implementation Based on COVID-19 -- 5 Validation -- 5.1 Baseline Scenario -- 5.2 Comparison of Non-pharmacological Measures and Baseline Scenario -- 6 Conclusions -- References -- Missing Values Imputation for Visualizing the Air Quality Evolution During the COVID-19 Pandemic in Madrid -- 1 Introduction -- 2 Techniques Applied -- 2.1 Imputation and Regression -- 2.2 Visualization -- 3 A Real-Life Case Study -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- Special Session 1: Time Series Forecasting in Industrial and Environmental Applications -- Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Models -- 3.3 Evaluation Metric -- 3.4 Optimization Process -- 4 Results and Discussion -- 4.1 Performance Results -- 4.2 Number of Features Analysis -- 4.3 Best and Worst Predictions Analysis -- 5 Conclusions and Future Work -- References.
Neuroevolutionary Transfer Learning for Time Series Forecasting -- 1 Introduction -- 2 Our Proposal -- 3 Results -- 4 Conclusions -- References -- Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Acquisition -- 3.2 Data Cleaning -- 3.3 Data Transformation -- 3.4 Machine Learning Algorithms -- 3.5 Model Evaluation -- 4 Results -- 4.1 Input Data -- 4.2 Tree Growth Prediction -- 5 Conclusions and Future Work -- References -- Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Experimental Setup -- 3.2 Machine Learning Models -- 4 Results and Discussion -- 4.1 Data Description -- 4.2 Experimental Results -- 5 Conclusions -- References -- Deep Learning and Metaheuristic for Multivariate Time-Series Forecasting -- 1 Introduction -- 2 Methodology -- 2.1 The Proposed Model -- 2.2 Model Training -- 2.3 Model Evaluation -- 3 Results -- 4 Conclusions -- References -- An Approach to Enhance Time Series Forecasting by Fast Fourier Transform -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Dataset -- 3.2 Feature Engineering -- 3.3 Models to Use -- 4 Results and Discussion -- 5 Conclusions -- References -- Comparative Study of Open Source Database Management Systems to Enable Predictive Maintenance of Autonomous Guided Vehicles -- 1 Introduction -- 2 Use Case -- 3 Methodology -- 3.1 Database Management Systems Under Study -- 3.2 Comparison Procedure -- 3.3 Comparison Perspectives -- 4 Experiments and Results -- 4.1 Functional Comparison -- 4.2 Performance Evaluation -- 5 Conclusions and Future Work -- References -- Integrated Forecast and Optimization for Retailer Allocation in a Two-Echelon Inventory System -- 1 Introduction.
2 Related Literature.
Record Nr. UNINA-9910743701003321
García Bringas Pablo  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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