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Record Nr. |
UNINA9910746093903321 |
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Autore |
Gervasi Osvaldo |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (819 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 13956 |
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Altri autori (Persone) |
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MurganteBeniamino |
TaniarDavid |
ApduhanBernady O |
BragaAna Cristina |
GarauChiara |
StratigeaAnastasia |
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Disciplina |
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Soggetti |
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Computer networks |
Computer Communication Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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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. |
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Sommario/riassunto |
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The two-volume set LNCS 13956 and 13957 constitutes the refereed proceedings of the 23rd International Conference on Computational |
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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. |
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