| Description |
1 online resource (1093 pages) |
| Series |
Advances in Intelligent Systems and Computing ; v. 1058 |
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Advances in intelligent systems and computing ; 1058
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| 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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
This book presents the proceedings of the 5th International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI2019), which took place in Cairo, Egypt, from October 26 to 28, 2019. This international and interdisciplinary conference, which highlighted essential research and developments in the fields of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several sections, covering the following topics: machine learning and applications, swarm optimization and applications, robotic and control systems, sentiment analysis, e-learning and social media education, machine and deep learning algorithms, recognition and image processing, intelligent systems and applications, mobile computing and networking, cyber-physical systems and security, smart grids and renewable energy, and micro-grid and power systems |
| Notes |
International conference proceedings |
|
4 Clustering Analysis of Users' Power Consumption Behavior Based on Weekly Load Correlation |
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Includes author index |
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Print version record |
| In |
Springer Nature eBook |
| Subject |
Artificial intelligence -- Congresses
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Artificial Intelligence
|
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artificial intelligence.
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Artificial intelligence
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Hassanien, Aboul Ella
|
|
Shaalan, Khaled
|
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Ṭulbah, Muḥammad Fahmī, 1947-
|
| ISBN |
9783030311292 |
|
3030311295 |
|
