Computational science and its applications -- ICCSA 2023 23rd International Conference, Athens, Greece, July 3-6, 2023, Proceedings. Part I /
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...
| Corporate Authors: | ICCSA (Conference) Athens, Greece) |
|---|---|
| Other Authors: | ICCSA (Conference), Gervasi, Osvaldo, Murgante, Beniamino, Taniar, David, Apduhan, Bernady O.,, Braga, Ana Cristina,, Garau, Chiara, Stratigea, Anastasia, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2023]
|
| Physical Description: |
1 online resource (lxvii, 760 pages) : illustrations (some color). |
| Series: |
Lecture notes in computer science ;
13956. |
| Subjects: |
| Summary: |
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. |
|---|---|
| Item Description: |
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. 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. Includes author index. |
| Physical Description: |
1 online resource (lxvii, 760 pages) : illustrations (some color). |
| ISBN: |
9783031368059 3031368053 |
| ISSN: |
1611-3349 ; |