Intelligent decision technologies 2019 : proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019).: proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019). Volume 2 ([2019])

• Record Type: Book
• Other Titles: KES-IDT 2019
• Further Information: Note: Editors, Ireneusz Czarnowski, Robert J. Howlett, Lakhmi C. Jain.
• Editors: Czarnowski, Ireneusz; Howlett, Robert J, 1954-; Jain, L. C
• Other Names: KES International., Symposium on Intelligent Decision Technologies, (11th) (2019)
• 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
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Extent: 1 online resource, illustrations
• Subjects: 006.3; Artificial intelligence -- Congresses; Computational intelligence -- Congresses; Decision making -- Data processing -- Congresses; COMPUTERS / General; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811383038; 9811383030
• Related ISBNs: 9789811383021
• Notes: Note: Includes bibliographical references and index.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.