Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. (c2020)

• Record Type: Book
• Further Information: Note: Aboul Ella Hassanien, Khaled Shaalan, Mohamed Fahmy Tolba, editors.
• Other Names: Hassanien, Aboul Ella; Shaalan, Khaled; Tolba, Mohamed F; International Conference on Advanced Intelligent Systems and Informatics, 5th
• Contents: Intro; Preface; Organization; Honorary Chairs; General Chair; Program Chairs; International Advisory Board; Publicity Chairs; Technical Program Committee; Local Arrangement Chairs; Keynote Speaker; Contents; Machine Learning and Applications; Optimizing Self-Organizing Maps Parameters Using Genetic Algorithm: A Simple Case Study; Abstract; 1 Introduction; 2 Overview of Used Algorithms; 2.1 The Self-Organizing Maps (SOM) Algorithm; 2.2 The Genetic Algorithm; 3 The Proposed Approach; 4 Experimental Results; 5 Conclusion and Future Work; References Rough Sets Based on Possibly Indiscernible Classes in Incomplete Information Tables with Continuous Values1 Introduction; 2 Rough Sets by Using Indiscernible Classes in Complete Information Systems with Continuous Values; 3 Rough Sets by Possibly Indiscernible Classes in Incomplete Information Systems with Continuous Domains; 4 Conclusions; References; Intelligent Watermarking System Based on Soft Computing; Abstract; 1 Introduction; 2 Literature Review and Related Work; 3 The Proposed System; 3.1 Problem Formulation; 3.2 Watermark Embedding Stage; 3.3 Watermark Extraction Stage 4 Experimental Results4.1 Watermark Invisibility; 4.2 Watermark Robustness; 4.3 Robustness Comparison with Other Methods; 5 Conclusion and Future Work; References; Predicting Student Retention Among a Homogeneous Population Using Data Mining; 1 Introduction; 2 Related Work; 3 Methodology; 3.1 The Dataset; 3.2 Data Preprocessing; 3.3 Predictive Modelling; 4 Results and Discussion; 4.1 Research Questions; 5 Conclusion; References; The Significance of Artificial Intelligence in Arabian Horses Identification System; Abstract; 1 Introduction; 2 Materials and Methods 2.1 Data Set Collection and Camera Setting2.2 SIFT Features; 2.3 SURF Features; 2.4 Artificial Neural Network (ANN); 2.5 Convolutional Neural Network (CNN); 2.6 Support Vector Machines (SVMs); 3 The Proposed Identification System; 3.1 Pre-processing Phase; 3.2 Augmentation Phase; 3.3 Iris Features Segmentation Phase; 3.4 Classification Phase; 4 Experimental Results and Discussion; 5 Conclusion and Future Work; References; A Neuro-Fuzzy Based Approach for Energy Consumption and Profit Operation Forecasting; 1 Introduction; 2 Energy Consumption Forecast Using Data That Has Been Processed 3 Variables That Influence the Consumption and Profit Operation of Electrical Energy Production4 The Proposed Approach; 4.1 Neural Network (ANN) Raw Data; 4.2 The Proposed Neuro-Fuzzy Technique; 5 Results and Discussion; 5.1 Maximizing Profit Using the Proposed Neuro-Fuzzy Technique; 6 Conclusion and Future Work; References; Analysis the Consumption Behavior Based on Weekly Load Correlation and K-means Clustering Algorithm; Abstract; 1 Introduction; 2 Theory of K-means Clustering Algorithm; 3 Application of K-means Clustering Algorithm to Power Consumption Analysis
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (1093 p.)
• Subjects: 006.3; Artificial intelligence -- Congresses; Electronic books
• Languages: English
• ISBNs: 9783030311292; 3030311295
• Related ISBNs: 9783030311285
• 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.