Computational Science and Its Applications – ICCSA 2023 : 23rd International Conference, Athens, Greece, July 3–6, 2023, Proceedings, Part I / / edited by Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea

• Autore: Gervasi Osvaldo
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (819 pages)
• Disciplina: 004.6; 004
• Soggetto topico: Computer networks; Computer Communication Networks
• Altri autori: MurganteBeniamino TaniarDavid ApduhanBernady O BragaAna Cristina GarauChiara StratigeaAnastasia
• Nota di contenuto: General Track 1: Computational Methods, Algorithms and Scientific Applications -- Review on nuclear thermal propulsion analysis of fuel element and simulation methods -- Modified Differential Evolution Algorithm applied to Economic Load Dispatch Problem -- An evaluation of direct and indirect memory accesses in fluid flow simulator -- Design and implementation of wind-powered charging system to improve electric motorcycle autonomy -- Computational studies unveiling the mechanism of action of selected Pt-, Te-, Au-, Rh-, Ru-based drugs -- Formulations for the Split Delivery Capacitated Profitable Tour Problem -- Multidimensional Scattered Time-varying Scattered Data Meshless Interpolation for Sensor Networks -- CFD Prediction of Wind Turbine Blade Compressible Aerodynamics -- Fast CUDA geomagnetic map builder -- A Compact-RBF-FD Scheme for Valuing Financial Derivatives based on Short-Rate Models -- Heuristics for the De Bruijn Graph Sequence Mapping Problem -- Computational grid optimization for the 3D higher-order parabolic equation -- Sensitivity Analysis of Markovian Exact Reproduction Numbers -- Invariant polarization signatures for recognition of hydrometeors by airborne weather radars -- Extended Pairwise Sequence Alignment -- Exploring machine learning algorithms and numerical representations strategies to develop predictive models for protein networks -- A Constructive Algorithm for the Split Delivery Vehicle Routing Problem (SDVRP) -- General Track 2: High Performance Computing and Networks -- Energy consumption monitoring system (kWh) and load control through messaging applications -- Developing Ultrahigh-resolution E3SM Land Model for GPU systems -- A RELIABILITY BASED TASK SCHEDULING METHOD FOR WIRELESS DISTRIBUTED SYSTEMS -- General Track 5: Information Systems and Technologies -- Maize (Corn) Leaf Disease Detection System Using Convolutional Neural Network (CNN) -- An Empirical Study on the Effectiveness of Bi-LSTM-Based Industry Rotation Strategies in Thai Equity Portfolios -- Prediction of Urban Population-Facilities Interactions with Graph Neural Network -- JurisBERT: a new approach that converts a classification corpus into an STS one -- Computational Music: Analysis of Music Forms -- Learning By Small Loss Approach Multi-label To Deal With Noisy Labels -- Predicting Multiple Domain Queue Waiting Time via Machine Learning -- Evaluation of time series causal detection methods on the influence of Pacific and Atlantic Ocean over Northeastern Brazil precipitation -- An approach for team formation using modified grey wolf optimizer -- FastCELF++: a novel and fast heuristic for influence maximization in complex networks -- Enhancing Amazigh Speech Recognition System with MFDWC-SVM -- Bibliometric Analysis of Robotic Process Automation Domain: Key Topics, Challenges and Solutions -- A software architecture based on the blockchain-database hybrid for electronic health records -- Convolutional Neural Networks and Ensembles for Visually Impaired Aid -- Artificial Bee Colony Algorithm for Feature Selection in fraud detection process -- Automatic features extraction from the optic cup and disc segmentation for Glaucoma classification -- Implementation of eXplainable Artificial Intelligence: Case Study on the Assessment of Movements to Support Neuromotor Rehabilitation -- A Novel Natural Language Processing Strategy to Improve Digital Accounting Classification Approach for Supplier Invoices ERP Transaction Process -- Knowledge Management Model: a Process View -- eXplainable Artificial Intelligence - A Study of Sentiments about Vaccination in Brazil -- Integrating counterfactual evaluations into traditional interactive recommendation frameworks -- Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers -- Interactive Information Visualization Models: A Systematic Literature Review -- A framework to assist instructors help novice programmers to better comprehend source code - A decoding perspective -- From Selecting Best Algorithm to Explaining Why It is: A General Review, Formal Problem Statement and Guidelines Towards to an Empirical Generalization -- A Machine Learning Methodology for Optimal Big Data Processing in Advanced Smart City Environments -- Structural Node Representation Learning for Detecting Botnet Nodes -- AutoML Framework for labor potential modeling -- A preliminary result of implementing a deep learning-based earthquake early warning system in Italy.
• Sommario/riassunto: The two-volume set LNCS 13956 and 13957 constitutes the refereed proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Lesvos Island, Greece, during July 3–6, 2023. The 67 full papers and 13 short papers and 6 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 283 submissions. The contributions are grouped in topics which deal with General Track 1: Computational Methods, Algorithms and Scientific Applications; General Track 2: High Performance Computing and Networks; General Track 3: Geometric Modeling, Graphics and Visualization; General Track 4: Advanced and Emerging Applications; General Track 5: Information Systems and Technologies; General Track 6: Urban and Regional Planning; and PHD Showcase Papers.
• Titolo autorizzato: Computational Science and Its Applications - ICCSA 2023
• ISBN: 3-031-36805-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910746093903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13956