Computational Science and Its Applications - ICCSA 2023

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.