| Description |
1 online resource (xi, 609 pages) |
| Series |
Advances in intelligent systems and computing ; volume 950 |
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Advances in intelligent systems and computing ; 950.
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| Contents |
Part I Machine learning -- Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering -- Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy -- Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models -- A Study on Trust in Black Box Models and Post-hoc Explanations -- A Study on Hyperparameter Configuration for Human Activity Recognition -- A Fuzzy Approach for Sentences Relevance Assessment in Multi-document Summarization -- Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model -- A Proposal for the Development of Lifelong Dialog Systems -- Part II Smart cities and IOT -- Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks -- Deep Learning in Modeling Energy Cost of Buildings in the Public Sector -- Framework for the Detection of Physiological Parameters with Musical Stimuli Based on IoT -- Edge Computing Architectures in Industry 4.0: A General Survey and Comparison -- Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application -- Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks -- Part III Temporal Data Analysis -- Ensemble Deep Learning for Forecasting 222Rn radiation level at Cenfranc Underground Laboratory -- Search of Extreme Episodes in Urban Ozone Maps -- A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data -- A Hybrid Approach for Short-Term NO2 Forecasting: Case Study of Bay of Algeciras (Spain) -- Context-Aware Data Mining vs Classical Data Mining: Case Study on Predicting Soil Moisture -- DTW as Alignment Function in the Context of Time Series Balancing -- Feature Clustering to Improve Fall Detection: A Preliminary Study -- Part IV Data Generation and Preparation -- Creation of Synthetic Data with Conditional Generative Adversarial Networks -- Data Selection to Improve Anomaly Detection in a Component-Based Robot -- Addressing Low Dimensionality Feature Subset Selection: ReliefF( -k) or Extended Correlation-Based Feature Selection(eCFS)? -- A Predictive Maintenance Model Using Recurrent Neural Networks -- Part V Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting with Limited Training Data -- Characteristic of WiFi Network Based on Space Model with Using Turning Bands Co-simulation Method -- Inconsistency Detection on Data Communication Standards Using Information Extraction Techniques: The ABP Case -- Mobile Architecture for Forest Fire Simulation Using PhyFire-HDWind Model -- A Proposal of Robust Leak Localization in Water Distribution Networks Using Differential Evolution -- Neural Model of a Specific Single Proton Exchange Membrane PEM Fuel Cell -- Special Session -- Soft Computing Methods in Manufacturing and Management Systems -- A Hybrid Heuristic Algorithm for Multi-manned Assembly Line Balancing Problem with Location Constraints -- A Comparison Analysis of the Computer Simulation Results of a Real Production System -- Multiple Fault Diagnosis in Manufacturing Processes and Machines Using Probabilistic Boolean Networks -- Part VI Special Session -- Soft Computing Applications in the Field of Industrial and Environmental Enterprises -- Outlier Generation and Anomaly Detection Based on Intelligent One-Class Techniques over a Bicomponent Mixing System -- Material Flow Optimization Using Milk Run System in Automotive Industry -- Smart PPE and CPE Platform for Electric Industry Workforce -- Acoustic Anomaly Detection Using Convolutional Autoencoders in Industrial Processes -- One-Class Classification to Predict the Success of Private-Participation Infrastructure Projects in Europe -- Optimizing a Bi-objective Vehicle Routing Problem Appearing in Industrial Enterprises -- An Industrial Application of Soft Computing for the Design of Personalized Call Centers -- A Preliminary Study on Multivariate Time Series Clustering -- Adaptive Fault-Tolerant Tracking Control Algorithm for IoT Systems: Smart Building Case Study -- Part VII Special Session -- Optimization, Modeling and Control by Soft Computing Techniques -- Low Voltage Grid Operation Scheduling Considering Forecast Uncertainty -- Iterative Learning Control for a Hydraulic Cushion -- Opinion Mining to Detect Irony in Twitter Messages in Spanish -- An Efficient Soft Computing Approach for Solving the Two-Stage Transportation Problem with Fixed Costs -- Takagi-Sugeno Fuzzy Incremental State Model for Optimal Control of a Ball and Beam Nonlinear Model -- Time-Oriented System to Control Critical Medications -- Part VIII Special Session -- Soft Computing in Aerospace, Mechanical and Civil Engineering: New Methods and Industrial Applications -- An Introduction to Some Methods for Soft Computing in Fluid Dynamics -- A Data-Driven ROM Based on HODMD -- Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder -- Generating Three-Dimensional Fields from Two-Dimensional Soft Computing Strategies -- Low Cost Methods for Computing Instabilities in Boundary Layer Flows |
| Summary |
This book includes 57 papers presented at the SOCO 2019 conference held in the historic city of Seville (Spain), in May 2019. Soft computing represents a set of computational techniques in machine learning, computer science and various engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, which featured a number of special sessions, including sessions on: Soft Computing Methods in Manufacturing and Management Systems; Soft Computing Applications in the Field of Industrial and Environmental Enterprises; Optimization, Modeling and Control by Soft Computing Techniques; and Soft Computing in Aerospace, Mechanical and Civil Engineering: New methods and Industrial Applications |
| Notes |
Includes author index |
| Bibliography |
Includes bibliographical references at the end of each chapter |
| Notes |
Online resource; title from digital title page (viewed on May 23, 2019) |
| In |
Springer Nature eBook |
| Subject |
Artificial intelligence -- Congresses
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Soft computing -- Congresses
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Artificial intelligence.
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Artificial Intelligence
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artificial intelligence.
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Artificial intelligence
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Soft computing
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Martínez Alvarez, Francisco, editor.
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| ISBN |
9783030200558 |
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3030200558 |
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