| Description |
1 online resource (1 volume) : illustrations (black and white, and color) |
| Series |
Lecture notes in networks and systems ; volume 513 |
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Lecture notes in networks and systems ; v. 513.
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| Contents |
Intro -- Preface -- Organization -- Contents -- Artificial Intelligence and Data Science -- AttR2U-Net: Deep Attention Based Approach for Melanoma Skin Cancer Image Segmentation -- 1 Introduction -- 2 Background and Related Work -- 2.1 R2U-Net Architecture -- 2.2 Attention Mechanism -- 3 AttR2U-Net Configurations -- 3.1 AttR2U-Net-V1 -- 3.2 AttR2U-Net-V2 -- 3.3 AttR2U-Net-V3 -- 4 Experiments and Results -- 4.1 ISIC Dataset -- 4.2 Experimental Results -- 5 Conclusion -- References -- Causality Analysis Method and Model Related to Why-Question Answering in Business Intelligence Context |
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1 Introduction -- 2 Causality Analysis Approaches -- 3 Proposed Causality Perception Model in BI Context -- 4 Proposed Causality Analysis Method -- 5 Experimental Study -- 5.1 Granger Causality Tests -- 5.2 Association Rules Algorithms Results -- 6 Conclusion and Future Works -- References -- Markovian Segmentation of Non-stationary Data Corrupted by Non-stationary Noise -- 1 Introduction -- 2 Two-jumping Conditional Triplet Markov Models -- 2.1 Two-jumping Conditional Triplet Markov Chain -- 2.2 Two-jumping Conditional Triplet Markov Field -- 3 Performance Evaluation |
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3.1 Segmentation of Simulated Images -- 3.2 Segmentation of Synthetic Images -- 3.3 Results and Discussion -- 4 Conclusion -- References -- Aster: A DSL for Engineering Self-Adaptive Systems -- 1 Introduction -- 2 Illustrative Example -- 3 Modeling the Aircraft Arrival Planning System -- 3.1 Architecture of the Aircraft Arrival Planning System -- 3.2 Aster Syntax -- 4 The Aircraft Arrival Planning System Formal Semantics -- 4.1 A Petri Net-Based Semantics for Aster -- 4.2 Generating Formal Specifications -- 4.3 The Aircraft Arrival System Semantics -- 5 Conclusion -- References |
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Co-rating Aware Evidential User-Based Collaborative Filtering Recommender System -- 1 Introduction -- 2 Dempster-Shafer Theory Basic Concepts -- 3 Evidential Collaborative Filtering -- 3.1 A Brief Overview of ECF Research -- 3.2 Evidential K-Nearest Neighbors -- 4 Problem Formulation -- 5 Experimental Evaluation -- 5.1 Dataset -- 5.2 Metrics -- 5.3 Results -- 6 Conclusion and Perspectives -- References -- Graph Representation Learning for Covid-19 Drug Repurposing -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Computational Workflow -- 3.2 Data Collection -- 3.3 Method |
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4 Results -- 4.1 Model Training -- 4.2 Model Evaluation -- 4.3 Drugs Ranking and Validation -- 5 Conclusion -- References -- A Scalable Adaptive Sampling Based Approach for Big Data Classification -- 1 Introduction -- 2 Prior Works in Big Data Sampling -- 3 Scalable Adaptive Sampling Based on ScaSRS, BLB and Chebyshev Inequality -- 3.1 Selecting Data with ScaSRS Algorithm -- 3.2 Learning and Creating Model -- 3.3 Calculating the Variance -- 3.4 Improved Sample Accuracy Using Active Learning -- 3.5 SGDAS Algorithm -- 4 Results and Discussion -- 4.1 Test Dataset -- 4.2 Empirical Results |
| Summary |
The book is a valuable reference work for students, researchers, academics, and industry practitioners interested in the latest scientific and technological advances across the conference topics. The CSA 2022 proceedings provide a collection of new ideas, original research findings, and experimental results in the field of computer science covering: artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics |
| Notes |
Includes author index |
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Print version record |
| Subject |
Computer systems -- Congresses
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|
Computer systems
|
| 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 |
Reda Senouci, Mustapha, editor.
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Boulahia, Said Yacine, editor
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Benatia, Mohamed Akrem, editor
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| ISBN |
9783031120978 |
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3031120973 |
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