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.