Intelligent decision technologies 2019 : 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 /
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 a...
Saved in:
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2019]
|
| Series: | Smart innovation, systems, and technologies ;
143. |
| Subjects: | |
| Online Access: | Springer eBooks |
Table of Contents:
- 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