proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019).
editors, Ireneusz Czarnowski, Robert J. Howlett, Lakhmi C. Jain.
Volume 2 /
Singapore :
Springer,
[2019]
1 online resource :
illustrations
Smart innovation, systems and technologies ;
143
Conference proceedings.
Includes bibliographical references and index.
Intro; KES-IDT 2019 Organization; Preface; Contents; About the Editors; Signal Processing and Pattern Recognition for Decision Making Systems; 1 Quality Improvement Through the Preventive Detection of Potentially Defective Products in the Automotive Industry by Means of Advanced Artificial Intelligence Techniques; 1.1 Introduction; 1.2 The Problem of Returned Products and the Advantages of Their Identification; 1.3 A Tool for the Preventive Detection of Future Returned Products; 1.4 Experimental Tests; 1.5 Conclusions and Future Work; References
2 An Efficient Non-Blind Steering Vector Estimation Technique For Robust Adaptive Beamforming With Multistage Error Feedback2.1 Introduction; 2.2 Background Review; 2.2.1 Least Mean Square Beamformer; 2.2.2 Recursive Least Square Beamformer; 2.2.3 Minimum Variance Distortionless Response Beamformer; 2.2.4 Kalman-Based MVDR Beamformer; 2.3 Steering Vector Estimation; 2.3.1 Steering Vector Estimation Algorithm; 2.3.2 Multistage Error Feedback Beamformer; 2.4 Simulation Results and Discussion; 2.5 Conclusion and Future Work; References
3 The P2P-Grid-Agent Distributed Platform: A Distributed and Dynamic Platform for Developing and Executing Large-Scale Application Based on Deep Learning Techniques3.1 Introduction; 3.2 Pattern Recognition System (PRS): An Overview; 3.3 Existing Handwriting Recognition Systems Based on Deep Learning; 3.4 Large-Scale (LS) Applications: Pattern Recognition (PR) Application as a Case; 3.5 The P2P-Grid-Agent Platform: The Proposed Approach; 3.6 The Experimental Study; 3.6.1 LS-OCR System Based on Clusters Architecture; 3.6.2 LS-OCR OCR System Based on the P2P-Grid-Agent Distributed Platform
3.7 ConclusionReferences; 4 Recognition of Daily Human Activities Using Accelerometer and sEMG Signals; 4.1 Introduction; 4.2 Methods; 4.3 Results and Discussion; 4.4 Conclusions; References; 5 Classification of Alzheimer's Disease from Structural Magnetic Resonance Imaging using Particle-Bernstein Polynomials Algorithm; 5.1 Introduction; 5.2 Database; 5.3 Magnetic Resource Imaging Preprocessing; 5.4 Features Extraction; 5.5 Classification Based on Particle-Bernstein Polynomials (PBP); 5.6 Experimental Results; 5.7 Conclusion; References; Intelligent Data Processing and Software Paradigms
6 Selecting Informative Samples for Animal Recognition in the Wildlife6.1 Introduction; 6.2 Related Work; 6.3 Proposed Algorithm for Selecting Informative Samples; 6.3.1 Collection of Informative Samples; 6.3.2 Set of Representative Samples; 6.4 Experimental Results; 6.5 Conclusions; References; 7 Genetic Algorithm for Selecting Relevant Regions in Digital Watermarking Scheme for 2D/3D Medical Images; 7.1 Introduction; 7.2 Related Work; 7.3 Proposed Algorithm for Selecting Relevant Regions; 7.3.1 Genetic Algorithm; 7.3.2 Selecting Relevant Regions for Watermark Embedding in 2D Medical Images
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The book presents a collection of peer-reviewed articles from the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT-19), held Malta on 17-19 June 2019. The conference provided opportunities for the presentation of new research results and discussion about them. It was also an opportunity to generation of new ideas in the field of intelligent decision making. The range of topics explored is wide, and covers methods of classification, prediction, data analysis, decision support, modelling and many more in such areas as finance, cybersecurity, economy, health, management and transportation. The topics cover also problems of data science, signal processing and knowledge engineering.
Springer Nature
com.springer.onix.9789811383038
9789811383021
9789811383045
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KES-IDT 2019
Artificial intelligence, Congresses.
Computational intelligence, Congresses.
Decision making-- Data processing, Congresses.
Artificial intelligence.
Computational intelligence.
COMPUTERS-- General.
Decision making-- Data processing.
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Czarnowski, Ireneusz
Howlett, Robert J.,1954-
Jain, L. C.
KES International., Symposium on Intelligent Decision Technologies(11th :, 2019)