Computational Science and Its Applications – ICCSA 2024 : 24th International Conference, Hanoi, Vietnam, July 1–4, 2024, Proceedings, Part I / / edited by Osvaldo Gervasi, Beniamino Murgante, Chiara Garau, David Taniar, Ana Maria A. C. Rocha, Maria Noelia Faginas Lago

• Autore: Gervasi Osvaldo
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (494 pages)
• Disciplina: 004.6
• Soggetto topico: Computer networks; Software engineering; Application software; Artificial intelligence; Computer Communication Networks; Software Engineering; Computer and Information Systems Applications; Artificial Intelligence
• Altri autori: MurganteBeniamino GarauChiara TaniarDavid C. RochaAna Maria A Faginas LagoMaria Noelia
• Nota di contenuto: Intro -- Preface -- Welcome Message from Organizers -- Organization -- Plenary Lectures -- Harnessing Artificial Intelligence for Enhanced Spatial Analysis of Natural Hazard Assessments -- Software Engineering Research in a New Situation -- Interpretability and Privacy Preservation in Large Language Models (LLMs) -- Contents - Part I -- Contents - Part II -- Computational Methods, Algorithms and Scientific Applications -- A Multi-centrality Heuristic for the Bandwidth Reduction Problem -- 1 Introduction -- 2 Problem Description and Mathematical Formulation -- 3 Relevant Related Work -- 4 Multi-centrality Heuristic Algorithm -- 4.1 Multi-centrality Constructive Algorithm -- 4.2 Selecting Centralities -- 5 Computational Experiments -- 5.1 Implementation Details and Parameters Tuning -- 5.2 MCH1 MCH2 MCH3 -- 5.3 Multi-centrality Heuristic Methods Published in the Literature -- 6 Conclusions and Future Works -- References -- Exact Algorithms for Weighted Rectangular Covering Problems -- 1 Introduction -- 2 Weighted Rectangular Covering Problem -- 2.1 Problem Definition -- 2.2 Porschen's Algorithm -- 2.3 Proposed Method -- 3 Weighted Line-Segment Covering Problem -- 3.1 Complexity Analysis -- 3.2 Exact Algorithm -- 4 Weighted Line-Segment Covering Problem with Unit-Length Line Segments -- 5 Conclusion -- References -- Clinical Factors to Investigate Survival Analysis in Cardiovascular Patients -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Design and Data Collection -- 2.2 Differential Sampling -- 2.3 Semi-parametric Cox Regression Model -- 2.4 Logistic Regression Model -- 3 Results and Discussion -- 3.1 Use of the Semi-parametric Cox Regression Model in Sample I -- 3.2 Use of Logistic Regression Model in Sample I -- 3.3 Experimental Procedure in Sample II -- 4 Conclusion -- References. ; A Study on Different Parameters Affecting Overall Cost of Global Content Distribution Services in Metropolitan Cloud Network -- 1 Introduction -- 2 Formulation of Cloud Network Flow Optimization -- 3 Cloud Augmented Graph and Service Graph Implementation -- 4 Professional Video on Demand (e.g.: Netflix) -- 5 Professional Live Video (e.g.: IPTV) -- 6 User Generated Video on Demand (e.g.: Facebook) -- 7 User Generated Live Video (e.g.: Facebook Live) -- 8 Overall Comparison for Network 2 & -- 2A -- 9 Conclusion -- References -- Fluid Simulation with Anisotropic Pressure Segregation and Time-Dependent Tensor Fields -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Navier-Stokes Equations with Tensor Fields -- 3.2 Anisotropic Helmholtz Projection and Varying Tensor Fields -- 3.3 Tensor X-IVAS: X-IVAS with Tensor-Based Pressure Segregation -- 3.4 Boundary Conditions -- 3.5 Implementation -- 4 Experiments with Time-Dependent Tensor Fields -- 4.1 Simulation with Axis-Aligned Planar Tensors -- 4.2 Simulation with the Strain-Rate Tensors -- 4.3 Discussion -- 5 Conclusion -- References -- Wave Source Localization Among Multiple Knife-Edges -- 1 Introduction -- 2 Problem Statement -- 3 Matched Field Processing -- 3.1 Adjoint Method Formulation -- 3.2 Bartlett MFP Processor -- 3.3 Minimum Variance -- 4 Multiple Knife-Edge Diffraction -- 5 Numerical Results and Discussion -- 5.1 Free Space -- 5.2 Source in Front of the Knife-Edge -- 5.3 Non Line of Sight -- 5.4 Two Knife-Edges -- 5.5 Horizontal Arrangement of Receivers -- 5.6 Multiple Knife-Edges -- 6 Conclusion -- References -- Image Segmentation Applied to Multi-species Phenotyping in Fish Farming -- 1 Introduction -- 2 Theoretical Foundation -- 2.1 Phenotyping -- 2.2 Reproductive Selection -- 2.3 Convolutional Neural Networks and the R-CNN Family of Methods -- 2.4 R-CNN -- 2.5 Fast R-CNN. ; 2.6 Faster R-CNN -- 2.7 Mask R-CNN -- 3 Development Methodology -- 4 Implementation -- 5 Results -- 5.1 Model Training -- 5.2 Phenotyping Piaractus mesopotamicus -- 5.3 Colossoma macropomum Phenotyping -- 6 Conclusion -- References -- Solving the Convection-Diffusion Equations via a Multiscale and Discontinuous Galerkin Approach -- 1 Introduction -- 2 Discontinuous Galerkin Formulation -- 3 Multiscale Framework -- 3.1 Nonlinear Process -- 4 Numerical Experiments -- 4.1 Example 1: Boundary Layers -- 4.2 Example 2: Boundary Layers -- 4.3 Example 3. Internal Layer -- 4.4 Example 4. Internal Layer -- 4.5 Convergence Rate -- 5 Conclusion -- References -- Iterated Local Search with Tabu Search for the Bandwidth Reduction Problem in Graphs -- 1 Introduction -- 2 Bandwidth Reduction -- 3 Related Works -- 4 Iterated Local Search with Tabu Search -- 5 Description of the Data and Tests -- 6 Results and Analysis -- 7 Conclusions -- References -- The Weighted Vector Finite Element Method for Vector Wave Equation with Singularity -- 1 Introduction -- 2 Notations and Problem Setting -- 3 Construction of the Weighted Vector Finite Element Method -- 4 Numerical Results -- 5 Conclusions -- References -- Geometric Modeling, Graphics and Visualization -- Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations -- 1 Introduction -- 2 Related Works -- 2.1 XAI for Medical Imaging -- 2.2 Comparisons Between XAI Methods -- 3 Experiments -- 3.1 Dataset -- 3.2 Models -- 3.3 Grad-CAM -- 4 Results -- 4.1 Accuracy by Class and Collection Location -- 4.2 Venn Diagram -- 4.3 Confidence Distribution -- 4.4 Visual Explanations -- 4.5 Data Preprocessing -- 5 Conclusion -- References -- Multi Modal Aware Transformer Network for Effective Daily Life Human Action Recognition -- 1 Introduction -- 2 Related Work -- 3 Proposed Architecture. ; 3.1 Spatial Self Attention Unit (SAU) -- 3.2 Temporal External Attention (TEA) Unit -- 3.3 Intermodal Attention-Based Feature Fusion Module (IAF) -- 4 Model Evaluation Procedure -- 4.1 Implementation Details -- 4.2 Comparison of Proposed Methodology and State of the Art Approaches on NTU- RGB+D Dataset -- 4.3 Ablation Study -- 5 Conclusion -- References -- Enhancing Image Registration Leveraging SURF with Alpha Trimmed Spatial Relation Correspondence -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 4 Experimental and Comparison Results -- 4.1 Experimental Results -- 4.2 Comparative Results -- 5 Conclusion and Future Work -- References -- Tomato Disease Detection from Tomato Leaf Images Using CNN-Based Feature Extraction, Feature Selection with Whale Optimization Algorithm, and SVM Classifier -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Dataset and Preprocessing -- 3.2 The CNN-Based Feature Extractor -- 3.3 Feature Selection with Whale Optimization Algorithm -- 3.4 The SVM Classifier -- 4 Experiments and Results -- 4.1 Experimental Setting -- 4.2 Performance of the Base CNN for Tomato Disease Detection -- 4.3 Tomato Disease Detection Performance of SVM Classifier with FSWOA -- 4.4 Comparative Discussion -- 5 Conclusion -- References -- Advanced and Emerging Applications -- Trajectories in Rutherford Dispersion According to Lagrangian Dynamics -- 1 Introduction -- 1.1 Rutherford's Dispersion Challenge: Beyond Newton's Law -- 1.2 Fundamentals and Objectives of Lagrangian Analysis in Particle Scattering -- 1.3 Principles of Lagrangian Dynamics -- 1.4 Historical Comparison: Newton's Law Versus Lagrange's Formalism -- 2 Methodology -- 2.1 Elaboration of the Lagrangian Model for Rutherford Scattering -- 2.2 Differential Equations in Particle Dynamics. ; 2.3 Analysis of Initial Conditions and Physical Variables Involved -- 2.4 Derivation of the Lagrangian Differential Equation -- 2.5 Transformations and Solutions of the Equation of Motion -- 2.6 Physical Implications of the Lagrangian Solution -- 3 Results -- 3.1 Comparison of Trajectories: Newtonian Approach vs. Lagrangian -- 3.2 Physical Interpretation of the Lagrangian Solution -- 4 Discussion -- 4.1 Critical Analysis of the Applicability of Lagrange Formalism in Dispersion -- 4.2 Advantages and Limitations of the Lagrangian Approach -- 5 Conclusions and Recommendations -- 5.1 Synthesis of Findings and Contributions to the Field of Particle Physics -- 5.2 Recommendations for Future Research and Practical Applications -- References -- Is There a Space in Landslide Susceptibility Modelling: A Case Study of Valtellina Valley, Northern Italy -- 1 Introduction -- 2 Literature Review -- 2.1 Landslide Susceptibility Modelling Approaches -- 2.2 Factors Influencing Landslide Susceptibility -- 3 Study Design -- 3.1 Research Questions -- 3.2 Research Methodology -- 3.3 Global Logistic Regression (GLR) -- 3.4 Geographically Weighted Logistic Regression (GWLR) -- 4 Study Area and Data Overview -- 4.1 Study Area -- 4.2 Data Acquisition and Processing -- 4.3 Landslide Data Sampling -- 4.4 Complete and Quasi-Complete Separation -- 4.5 Landslide Susceptibility Factors Selection and Preparation -- 4.6 Curse of Multicollinearity -- 4.7 Stepwise Selection of Significant Landslide Factors -- 5 Results -- 5.1 Model Evaluation and Validation -- 6 Discussion -- 7 Conclusion -- References -- Study of Relationships Between Time Series by Co-spectral Analysis -- 1 Introduction -- 2 Time Series Analysis and Fourier Series Transformation -- 2.1 Verification of Stationarity of Time Series -- 2.2 Correlograms and Spectrograms -- 3 Cross-Correlation and Co-spectral Analysis. ; 4 Application of the Proposed Technique to Financial Series Case.
• Sommario/riassunto: The two-volume LNCS set 14813 and 14814 constitutes the refereed proceedings of the 24th International Conference on Computational Science and Its Applications, ICCSA 2024, held in Hanoi, Vietnam, during July 1–4, 2024. The 53 full papers, 6 short papers and 3 PHD showcase papers included in these volumes were carefully reviewed and selected from a total of 207 submissions. The papers focus on the following six sub-areas within Computer Science and its Applications: Computational Methods, Algorithms and Scientific Applications; High Performance Computing and Networks; Geometric Modeling, Graphics and Visualization; Advanced and Emerging Applications; Information Systems and Technologies & Urban and Regional Planning.
• Titolo autorizzato: Computational Science and Its Applications - ICCSA 2024
• ISBN: 9783031646058; 3031646053
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910869184603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14813