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.
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) LeafDisease 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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