Márcio das Chagas Moura

Orcid: 0000-0001-5486-2093

According to our database1, Márcio das Chagas Moura authored at least 25 papers between 2008 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Automated identification of pilot failures in aviation accidents using a BERT-based classifier and topic modeling.
Reliab. Eng. Syst. Saf., 2026

2025
A systematic procedure for the analysis of maintenance reports based on a taxonomy and BERT attention mechanism.
Reliab. Eng. Syst. Saf., 2025

Machine Learning for Long COVID Inference Based on the Acute Phase: A Case Study in Healthcare Professionals.
IEEE Access, 2025

Multi-Task Learning and Retrieval-Augmented Generation for Cause and Consequence Prediction on the HIAD Hydrogen Safety Dataset.
Proceedings of the 2025 9th International Conference on System Reliability and Safety (ICSRS), 2025

2024
Selection and classification of COVID-19 CT images using artificial intelligence: A case study in a Brazilian university hospital.
Biomed. Signal Process. Control., 2024

2023
Using experts' opinion for Bayesian prior reliability distribution of on-demand equipment: A case study of a novel sliding sleeve valve for open-hole wells.
Reliab. Eng. Syst. Saf., October, 2023

Prognostics and Health Management of Rotating Machinery via Quantum Machine Learning.
IEEE Access, 2023

2020
A human reliability analysis methodology for oil refineries and petrochemical plants operation: Phoenix-PRO qualitative framework.
Reliab. Eng. Syst. Saf., 2020

Reliability data analysis of systems in the wear-out phase using a (corrected) <i>q</i>-Exponential likelihood.
Reliab. Eng. Syst. Saf., 2020

Real-time classification for autonomous drowsiness detection using eye aspect ratio.
Expert Syst. Appl., 2020

Application of data-based prediction methods in newsvendor problems subject to purchase price uncertainty.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2018
Combining Generalized Renewal Processes with Non-Extensive Entropy-Based q-Distributions for Reliability Applications.
Entropy, 2018

2017
On the q-Weibull distribution for reliability applications: An adaptive hybrid artificial bee colony algorithm for parameter estimation.
Reliab. Eng. Syst. Saf., 2017

Analysis of extended warranties for medical equipment: A Stackelberg game model using priority queues.
Reliab. Eng. Syst. Saf., 2017

Stress-Strength Reliability Analysis with Extreme Values based on <i>q</i>-Exponential Distribution.
Qual. Reliab. Eng. Int., 2017

2016
Corrigendum to "Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model" [Reliab. Eng. Syst. Saf. 150(2016) 136-146].
Reliab. Eng. Syst. Saf., 2016

Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model.
Reliab. Eng. Syst. Saf., 2016

2015
A Multi-Objective Genetic Algorithm for determining efficient Risk-Based Inspection programs.
Reliab. Eng. Syst. Saf., 2015

Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression.
Reliab. Eng. Syst. Saf., 2015

2013
Selection of security system design via games of imperfect information and multi-objective genetic algorithm.
Reliab. Eng. Syst. Saf., 2013

Prediction of sea surface temperature in the tropical Atlantic by support vector machines.
Comput. Stat. Data Anal., 2013

2012
A particle swarm-optimized support vector machine for reliability prediction.
Qual. Reliab. Eng. Int., 2012

2011
Failure and reliability prediction by support vector machines regression of time series data.
Reliab. Eng. Syst. Saf., 2011

2009
Mathematical formulation and numerical treatment based on transition frequency densities and quadrature methods for non-homogeneous semi-Markov processes.
Reliab. Eng. Syst. Saf., 2009

2008
A semi-Markov model with Bayesian belief network based human error probability for availability assessment of downhole optical monitoring systems.
Simul. Model. Pract. Theory, 2008


  Loading...