Computational Science and Its Applications – ICCSA 2024 : 24th International Conference, Hanoi, Vietnam, July 1–4, 2024, Proceedings, Part II / / 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 (486 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 II -- Contents - Part I -- High Performance Computing and Networks -- e-CLAS: Effective GPUDirect I/O Classification Scheme -- 1 Introduction -- 2 Motivation -- 3 Implementation Details -- 3.1 System Architecture -- 3.2 e-CLAS Collection Process -- 3.3 I/O Categorization -- 3.4 I/O Reconstruction Process -- 4 Performance Evaluation -- 5 Conclusion -- References -- A Real-Time Visualization Tool of Hardware Resources for Flutter Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Frame per Second (FPS) Counter -- 3.2 Memory Usage -- 3.3 Network Traffic -- 3.4 Customization Parameters -- 4 Experimental Results -- 4.1 Sample Test Application -- 4.2 Wonderous -- 4.3 OpenLeaf -- 5 Conclusion and Future Works -- References -- Optimizing Cloud-Fog Workloads: A Budget Aware Dynamic Scheduling Solution -- 1 Introduction -- 2 Related Studies -- 3 System Architecture -- 4 Problem Domain -- 4.1 Problem Formulation -- 4.2 Task Scheduling Solution -- 5 Implementation and Analysis -- 5.1 Experimental Settings -- 5.2 Experimental Results -- 6 Conclusion -- References -- Information Systems and Technologies -- A Process to Identify Players' Motivational Profiles for Designing a Gamification Project -- 1 Introduction -- 2 Literature Review -- 3 The Process -- 3.1 Subprocess: Eliciting Motivational Profile Through Judges (S1) -- 3.2 Subprocess: Eliciting Motivational Profile with Game Dynamics (S2) -- 3.3 Subprocess: Eliciting Motivational Profile Through a Motivation Inventory (S3). ; 4 Testing the Process in a Complex Domain -- 4.1 Stage 1: Characterize the Application Domain of Gamification -- 4.2 Stage 2: Define the Target Audience -- 4.3 Stage 3: Execute Motivational Profile Elicitation Strategies -- 4.4 Stage 4: Unify the Motivational Profile -- 5 Discussion -- 6 Conclusion -- References -- The Effectiveness of Using AutoML in Electricity Theft Detection: The Impact of Data Preprocessing and Balancing Techniques -- 1 Introduction -- 2 AutoML -- 2.1 H2O AutoML Platform -- 2.2 TPOT AutoML Platform -- 3 Data Preprocessing and Feature Engineering -- 4 Data Balancing -- 5 Electricity Theft Predictions: The Proposed System Model -- 6 Experimental Results: Assessment -- 7 Discussion and Conclusion -- References -- On the Use of Predictive Deep Learning Approaches in the Frequency and Uniqueness-Based Representation of Sequential Browsing Events -- 1 Introduction -- 2 Fundamental Concepts and Literature Survey -- 2.1 Embedding Approaches -- 2.2 Other Embedding Methods -- 3 Methodology -- 3.1 An Overview of the ML Business Process -- 3.2 A Novel Methodology for Generating User Sequences -- 4 Proposed Framework Implementation -- 5 Experimental Work -- 6 Conclusions and Future Work -- References -- MPCD: An Algorithm for Discovering Multilevel Prevalent Co-location Patterns from Heterogeneous Distribution of Spatial Datasets -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Construction of Density-Wise Clusters -- 3.2 Multi-level SPCP Mining from Clusters -- 4 Experiments and Analysis -- 4.1 Experiments on Synthetic Datasets -- 4.2 Experiments on Real Datasets -- 5 Conclusion -- References -- Leveraging Wav2Vec2.0 for Kazakh Speech Recognition: An Experimental Study -- 1 Introduction -- 2 Background and Related Work -- 2.1 Wav2Vec 2.0 and XLSR-53 -- 2.2 Kazakh ASR -- 3 Materials and Method -- 3.1 Dataset -- 3.2 Methods. ; 4 Result and Discussion -- 5 Conclusion -- References -- The 2018 Brazilian Presidential Run-Off: A Complex Network Analysis Approach Using Twitter Data -- 1 Introduction -- 1.1 Political Polarization -- 1.2 The Brazilian Political Scenario -- 2 Related Work -- 3 Methodology -- 3.1 The Abstraction Model -- 3.2 Dataset and Preprocessing -- 4 Methods -- 4.1 Centrality Metrics -- 4.2 Community Detection -- 5 Results -- 5.1 Network Basic Features -- 5.2 Authorship Relations -- 5.3 Top 50 -- 5.4 Communities -- 6 Conclusions -- References -- A Descriptive and Predictive Analysis Tool for Criminal Data: A Case Study from Brazil -- 1 Introduction -- 2 Related Work -- 3 Criminal Analysis Tool -- 3.1 Scenario Filtering -- 3.2 Trend Analysis -- 3.3 Distributions Analysis -- 3.4 Temporal Heat Map -- 3.5 Layered Event Map -- 3.6 Regression Models -- 4 Experimental Evaluation -- 4.1 Data Characterization -- 4.2 Case Study -- 5 Conclusions -- References -- Approach to the Formation and Visualization of the Competency Profile of the Staff of Organizations Using the UGVA Method -- 1 Introduction -- 2 Existing Solutions -- 3 Method -- 3.1 Conceptualization of the Subject Area -- 3.2 The Model of the Profile of Research and Teaching Staff of the Department -- 3.3 Methodological Approach to Visualization -- 4 Case Study -- 5 Data Analysis and Results -- 6 Conclusion -- References -- Elevating Wearable Sensor Authentication with Hybrid Deep Learning and Squeeze-and-Excitation -- 1 Introduction -- 2 Related Works -- 2.1 Continuous Authentication -- 2.2 Deep Learning in Continuous Authentication -- 3 The Sensor-Based Continuous Authentication Framework -- 3.1 HMOG Dataset -- 3.2 Data Pre-processing -- 3.3 Training Deep Learning Models -- 3.4 Performance Measurement Criteria -- 4 Experiments and Research Findings -- 4.1 Experimental Setting. ; 4.2 Experimental Results and Discussion -- 5 Conclusion and Future Works -- References -- Applying LSTM Recurrent Neural Networks to Predict Revenue -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Model Development -- 3.3 Model Evaluation -- 4 Experimental Analysis -- 4.1 Algorithm and Computational Environment Configuration -- 4.2 Analysis Criteria -- 4.3 Results -- 4.4 Discussion -- 5 Conclusion -- References -- Incentivizing Honesty in Online Decentralized Markets -- 1 Introduction -- 2 Buyers' and Sellers' Dilemma -- 3 Literature Review - Phase 1 -- 3.1 Trust Network -- 3.2 Arbitrator -- 3.3 Payment Guarantee -- 3.4 Overall -- 4 Tagging OpenBazaar Historical Data - Phase 2 -- 4.1 OpenBazaar -- 4.2 Dataset -- 4.3 Manually Tagging Transactions -- 5 Honesty Incentive Models - HIMs -- 5.1 Trust Network - T -- 5.2 Trust Network + Arbitrator - TA -- 5.3 Trust Network + Payment Guarantee - TP -- 6 Experiment Results - Phase 3 -- 6.1 Trust Network only - T -- 6.2 Trust Network + Decentralized Arbitrator - TA -- 6.3 Trust Network + Payment Guarantee - TP -- 6.4 Answering the RQ and Threats to Validation -- 7 Conclusions and Future Work -- 7.1 Conclusions -- 7.2 Challenges for Future Work -- References -- Boosted HP Filter: Several Properties Derived from Its Spectral Representation -- 1 Introduction -- 2 Preliminaries -- 3 Spectral Representation of the bHP Filter -- 4 Several Properties of the bHP Filter -- 5 Concluding Remarks -- References -- MiSIS: An HL7 FHIR Middleware for Healthcare Information Systems -- 1 Introduction -- 2 Related Works -- 3 MiSIS: A Middleware Based on the HL7 FHIR Standard for Healthcare Information Systems -- 3.1 Solution Requirements -- 3.2 Solution Architecture -- 3.3 Solution Development -- 4 Studies on the Use and Evaluation of MiSIS -- 4.1 Analysis of Proofs of Concept. ; 4.2 Performance Test Analysis -- 5 Conclusions and Future Work -- References -- A Novel Leak Localization Method for Water Pipeline Systems Based on Acoustic Emission Monitoring and Event Correlation -- 1 Introduction -- 2 Background Concepts -- 2.1 Constant False Alarm Rate Detection -- 2.2 Minimum Entropy Deconvolution -- 3 Methodology -- 4 Experimental Setup -- 5 Results and Discussion -- 6 Conclusion -- References -- Maintaining the Quality of Evolving Ontologies in the Agriculture Domain: Challenges and a Specialised Evaluation Tool -- 1 Introduction -- 2 Related Work -- 3 The OntoQuaL Tool -- 3.1 Complexity Measures -- 3.2 Modularity Measures -- 3.3 Consistency Measures -- 3.4 Completeness Measures -- 3.5 Comprehensibility Measures -- 4 Evaluation and Discussion -- 4.1 Evaluation of the Developed Measures of Characteristics -- 4.2 Tool Experiments with an Agriculture Ontology -- 4.3 Future Works -- 5 Conclusion -- References -- Diverse Bagging Effort Estimation Model for Software Development Project -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Stage 1: Data Collection -- 3.2 Stage 2: Data Preprocessing -- 3.3 Stage 3: Hyperparameter Tunning -- 3.4 Stage 4: Construction of Proposed Model (DBEEST) -- 3.5 Stage 5: Proposed Model Evaluation Criteria -- 4 Results and Discussion -- 4.1 Performance of Models -- 5 Conclusion and Future Work -- References -- Integrating Dual Strengths: A Hybrid Architecture Merging Decentralized Trust with Server-Side Efficiency for Enhanced Secure Transactions -- 1 Introduction -- 2 Literature Survey -- 3 Preliminary Background -- 4 Proposed System -- 4.1 System Overview -- 4.2 Comparison with Existing Blockchain Enhcanced QR Desgins -- 4.3 Choice of Architecture -- 5 Implementation -- 5.1 Client-Side -- 5.2 Server-Side -- 6 Experimental Results -- 7 Limitations -- 8 Conclusion and Future Work. ; References.
• 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: 9783031646089; 3031646088
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910869181703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14814