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BL
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| Record Number
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862097
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| Main Entry
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SOCO (Conference)(14th :2019 :, Seville, Spain)
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| Title & Author
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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 /\ Francisco Martínez Álvarez, [and 4 others], editors.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2020]
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| Series Statement
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Advances in intelligent systems and computing ;; volume 950
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| Page. NO
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1 online resource
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| ISBN
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3030200558
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: 9783030200558
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303020054X
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9783030200541
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| Notes
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Includes author index.
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| Contents
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Intro; Preface; Organization; General Chairs; International Advisory Committee; Program Committee Chairs; Program Committee; Special Sessions; Soft Computing Methods in Manufacturing and Management Systems; Sec7; Soft Computing Applications in the Field of Industrial and Environmental Enterprises; Sec9; Optimization, Modeling and Control by Soft Computing Techniques; Sec11; Soft Computing in Aerospace, Mechanical and Civil Engineering: New Methods and Industrial Applications; Sec13; SOCO 2019 Organizing Committee; Contents; Machine Learning
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2.1 Preprocessing2.2 Semantic Graph Generation; 2.3 Graph Merging Process; 2.4 Concepts Clustering; 2.5 Fuzzy Relevance Assessment of the Sentences; 2.6 Summary Construction; 3 Experimental Results; 4 Conclusions and Future Works; Acknowledgments; References; Online Estimation of the State of Health of a Rechargeable Battery Through Distal Learning of a Fuzzy Model; 1 Introduction; 2 Description of the Proposed Model; 2.1 IC Curves and Analysis; 2.2 Proposed Model and Learning Methodology; 2.3 Fuzzy Rule-Based Model; 3 Empirical Study; 3.1 Experimental Setup; 3.2 Numerical Results
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2.2 Post-hoc Explanation Approaches3 Method; 3.1 Participants; 3.2 Materials; 3.3 Design; 3.4 Procedure; 4 Results; 4.1 Trust Variables; 5 Conclusion; References; A Study on Hyperparameter Configuration for Human Activity Recognition; 1 Introduction; 2 Related Work; 3 Activity Recognition Overview; 4 Experimental Results; 4.1 The PAMAP2 Dataset; 4.2 Experimental Setup; 4.3 HAR Accuracy Results; 4.4 Execution Time and Energy Consumption; 5 Conclusion; References; A Fuzzy Approach for Sentences Relevance Assessment in Multi-document Summarization; Abstract; 1 Introduction; 2 Proposed Method
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3.2 Second Stage: Feature Weighting Strategy4 Results; 5 Conclusions; References; Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models; Abstract; 1 Introduction; 2 Related Work; 3 Proposed Method; 3.1 Video-Based Model; 3.2 Sensor-Based Model; 3.3 Fusion Network; 4 Experiments; 4.1 Dataset and Experimental Settings; 4.2 Result Analysis; 5 Conclusion; Acknowledgement; References; A Study on Trust in Black Box Models and Post-hoc Explanations; 1 Introduction; 2 Intelligibility and Trust; 2.1 Human Subject Studies and Trust Measures
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Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering1 Introduction; 2 Related Work; 2.1 Clustering Methods; 2.2 Validation Indexes; 3 Our Proposal; 3.1 Implementation; 4 Experimentation; 4.1 Working Environment and Datasets; 4.2 Experimental Results; 5 Conclusions; References; Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy; 1 Introduction; 2 Hypothesis and Foundations; 3 Proposed Two-Stage Methodology for Normalization and Feature Weighting; 3.1 First Stage: Normalization Methods
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| Abstract
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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.
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| Subject
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Artificial intelligence, Congresses.
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| Subject
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Soft computing, Congresses.
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Artificial intelligence.
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| Subject
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Soft computing.
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| Dewey Classification
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006.3
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| LC Classification
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Q334.S63 2019
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| Added Entry
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Martínez Alvarez, Francisco
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| Parallel Title
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SOCO 2019
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