Kooperativer Bibliotheksverbund

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Format: XIV, 406 p. 114 illus., 84 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9783031120978

Series Statement: Lecture Notes in Networks and Systems, 513

Content: 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.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031120961

Additional Edition: Printed edition: ISBN 9783031120985

Language: English

DOI: 10.1007/978-3-031-12097-8

URL: https://doi.org/10.1007/978-3-031-12097-8

URL: Volltext  (URL des Erstveröffentlichers)

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Format: 1 online resource (396 pages)

ISBN: 3-031-12097-3

Series Statement: Lecture Notes in Networks and Systems ; v.513

Note: Includes index. , 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 -- 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 -- 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 -- 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 -- 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 -- 4.3 Discussion -- 5 Conclusion -- References -- Supervised Learning Using Community Detection for Link Prediction -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 4 Test and Results -- 5 Conclusion -- References -- Survey on Remote Sensing Data Augmentation: Advances, Challenges, and Future Perspectives -- 1 Introduction -- 2 Data-level Issues -- 3 Data Augmentation Techniques -- 3.1 Basic Techniques -- 3.2 Imaging Simulation System Based Methods -- 3.3 Deep Learning-based Methods -- 4 Remote Sensing Data Augmentation Challenges -- 5 Remote Sensing Data Augmentation Works -- 6 Conclusion and Future Works -- References -- Emerging Technologies for Future Internet -- Microservice Instances Provisioning for IoT Applications in Fog Computing -- 1 Introduction. , 2 Related Works -- 3 Problem Statement and Formulation -- 3.1 System Model -- 3.2 Objective Model -- 3.3 Problem Description -- 4 Microservice Provisioning Algorithm Using NSGA-II -- 4.1 Coding of Individuals -- 4.2 Crossover and Mutation Operation -- 4.3 Selection for the Next Generation -- 5 Experiment Evaluation -- 5.1 Results Comparison -- 6 Conclusion -- References -- A New Fusion-Based Approach for License Plate Recognition: An Application to the Algerian Context -- 1 Introduction -- 2 ALPR Systems -- 2.1 Localization of the Plate -- 2.2 Segmentation of the Plate -- 2.3 Character Recognition -- 3 Data Fusion -- 3.1 Voting Method -- 3.2 Dempster-Shafer Theory -- 4 Proposed Approach -- 4.1 Voting Approach -- 4.2 Evidential Approach -- 5 Evaluation -- 5.1 Plate Localization -- 5.2 Plate Segmentation -- 5.3 Plate Recognition -- 6 Conclusion -- References -- 5G-Slicing of EVs Services: A Latency Analysis Model Based on Decentralized SDN-Fog Architecture -- 1 Introduction -- 2 Distributed SDN-Fog Architecture -- 3 Latency Analysis of EVs Energy Service Slices -- 4 Performance Evaluation -- 5 Conclusion -- References -- COTS-Based Embedded Systems Design Using an Iterative and Incremental Approach: A Case Study of an UAV Embedded System Development -- 1 Introduction -- 2 Proposed Development Approach -- 2.1 Component Based Development (CBD) -- 2.2 Test Driven Development (TDD) -- 2.3 Iterative and Incremental Development (IID) -- 2.4 Agile Principles -- 3 Case Study: Design of an UAV Embedded System -- 3.1 Requirements -- 3.2 System Design -- 3.3 System Integration -- 4 Conclusion -- References -- Swarm Robotics: A Survey -- 1 Introduction -- 2 Real-World Applications -- 2.1 Agriculture -- 2.2 Search and Rescue -- 2.3 Military Operations -- 2.4 Industry 4.0 and Warehouse Logistics -- 3 Swarm Robotics Research Platforms -- 4 Swarm Robotics Simulators. , 4.1 ARGoS -- 4.2 Gazebo -- 5 Design Methods -- 5.1 Manual Design -- 5.2 Automatic Design -- 6 Swarm Behaviours -- 6.1 Spatial Organization -- 6.2 Navigation -- 6.3 Collective Decision-Making -- 7 Conclusion -- References -- Computer Networks -- An Analysis of the Name Length Impact on NDN-Enabled IEEE 802.15.4 Networks -- 1 Introduction -- 2 Background, Motivation, and Problem Statement -- 3 Related Work -- 4 Simulation Analysis -- 4.1 Effect of the Name Prefix Length -- 4.2 Effect of the Name Compression -- 5 Conclusion and Outlook -- References -- A New GSPNs-Model for Sensors in Solar EHWSNs, Considering Seasonal Sunshine Levels and Sleeping Mechanism Based on Channel Polling Schedule -- 1 Introduction -- 2 Related Works -- 3 Background -- 3.1 Channel Polling Strategy -- 3.2 GSPN Formalism -- 4 Proposed Model -- 5 Numerical Results -- 5.1 Impact of Energy Harvesting Rate on the Performance Metrics -- 5.2 Impact of Duty Cycle on the Performance Metrics -- 6 Conclusion and Future Works -- References -- QoS-SDIoV: An Efficient QoS Routing Scheme for Software Defined Internet of Vehicles -- 1 Introduction -- 2 State of the Art -- 2.1 Internet of Vehicles (IoVs) Review -- 2.2 Software Defined Network (SDN) -- 2.3 Related Work -- 3 QoS-SDIoV: Our Proposal -- 3.1 System Architecture -- 3.2 System Model -- 3.3 System Operation -- 3.4 Control Plane (CP) -- 4 Performance and Simulation -- 4.1 Experimental Setup -- 4.2 Evaluation and Discussion -- 5 Conclusion -- References -- Study on Parameters Affecting 6TiSCH Network Formation -- 1 Introduction -- 2 Network Formation Procedure in 6TiSCH -- 2.1 TSCH Network Synchronisation -- 2.2 RPL DODAG Formation -- 2.3 6TiSCH Minimal Configuration -- 3 Related Works -- 4 Performance Evaluation -- 5 Analysis and Interpretation of Results -- 6 Conclusion and Perspectives -- References. , Bandit Algorithms for Robust Forwarding in Named Data Networking -- 1 Introduction -- 2 Named Data Networking Overview -- 3 Related Work -- 4 Our Proposal -- 4.1 Model and Design Overview -- 4.2 epsilonε-greedy Algorithm -- 4.3 Softmax Algorithm -- 4.4 UCB Algorithm -- 4.5 Thompson Sampling Algorithm -- 4.6 Handling Nack and Interest Expiration -- 5 Performance Evaluation -- 5.1 Simulations Setup -- 5.2 Results and Discussion -- 6 Conclusion -- References -- Optimization and Operational Research -- An Efficient Grasshopper Optimization Algorithm Using Arithmetic Crossover for Global Optimization -- 1 Introduction -- 2 Grasshopper Optimization Algorithm -- 3 Improved Grasshopper Optimization Algorithm (IGOA) Using Arithmetic Crossover -- 4 Computational Experiments and Results Discussion -- 4.1 Benchmark Test Functions -- 4.2 Real Applications -- 4.3 Pressure Vessel Design Problem -- 4.4 Cantilever Beam Design Problem -- 5 Conclusion -- References -- Augmented Lagrangian Genetic Algorithm Approach Towards Solving Constrained Numerical and Coverage Optimization -- 1 Introduction -- 2 The Proposed Hybrid Algorithm -- 2.1 Augmented Lagrangian Method -- 2.2 Genetic Algorithm -- 3 Numerical Results -- 3.1 Quality Findings and Setting up the Algorithm -- 3.2 Analysis of the Results -- 3.3 Experiment on Antenna Coverage Optimization -- 4 Conclusion -- References -- Improved Salp Swarm Optimization Algorithm for Engineering Problems -- 1 Introduction -- 2 Standard Salp Swarm Algorithm (SSA) -- 3 The Proposed Salp Swarm Algorithm-based on Levy Flight and Logarithmic Spiral Techniques (ISSA) -- 3.1 Levy Flight Technique (LF) -- 3.2 Behaviour of Logarithmic Spiral -- 4 ISSA for Engineering Problems -- 4.1 Pressure Vessel Design Problem -- 4.2 Welded Beam Design Problem -- 4.3 Tension/Compression Spring Design Problem -- 5 Conclusion -- References. , Grey Wolf Optimizer with Multi Step Crossover for Bi-objective Job Shop Scheduling Problem.

Additional Edition: Print version: Senouci, Mustapha Reda Advances in Computing Systems and Applications Cham : Springer International Publishing AG,c2022 ISBN 9783031120961

Language: English