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Marcelo C. Santos

ORCID: 0000-0002-7770-0713
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Contact & Profiles
A5053622672
Research Areas
  • Fault Detection and Control Systems
  • Radioactive contamination and transfer
  • Nuclear Engineering Thermal-Hydraulics
  • Anomaly Detection Techniques and Applications
  • Atmospheric and Environmental Gas Dynamics
  • Non-Destructive Testing Techniques
  • Nuclear reactor physics and engineering
  • Advanced Neural Network Applications
  • Radioactivity and Radon Measurements
  • Risk and Safety Analysis
  • Nuclear and radioactivity studies
  • Nuclear Physics and Applications
  • Intestinal and Peritoneal Adhesions
  • Male Reproductive Health Studies
  • Spectroscopy and Chemometric Analyses
  • Human-Animal Interaction Studies
  • Sperm and Testicular Function
  • Infrastructure Maintenance and Monitoring
  • Fluid Dynamics and Mixing
  • Particle Detector Development and Performance
  • Veterinary Medicine and Surgery
  • Precipitation Measurement and Analysis
  • Global Energy and Sustainability Research
  • Healthcare Technology and Patient Monitoring
  • Graphite, nuclear technology, radiation studies

Universidade Federal do Rio de Janeiro
 2016-2024

National Nuclear Energy Commission
 2017-2018

 Deep rectifier neural network applied to the accident identification problem in a PWR nuclear power plant
OPENALEX - Publications 
Marcelo C. Santos Victor Henrique Cabral Pinheiro Filipe Santana Moreira do Desterro Renato Koga de Avellar Roberto Schirru and 2 more Andressa dos Santos Nicolau Alan Miranda Monteiro de Lima

10.1016/j.anucene.2019.05.039 article EN Annals of Nuclear Energy 2019-06-07
 Optimizing Deep Neural Networks for Nuclear Power Plant Temperature Estimation: A Study on Feature Importance and Outlier Detection
OPENALEX - Publications 
Bernardo Mendonça Caixeta Joao Marcondes Correa Guimaraes Marcelo C. Santos Matheus Siqueira Silva Andressa dos Santos Nicolau and 4 more Roberto Schirru Marcos Candeias Grazielle Frazão Muzitano Marcelo de Castro Justino

10.2139/ssrn.5131784 preprint EN 2025-01-01
 Transformer-Based Approach for Nuclear Reactor Event Sequence Forecasting and Trip Detection
OPENALEX - Publications 
Bernardo Mendonça Caixeta Marcelo C. Santos Alan De Lima Victor Henrique Cabral Pinheiro Roberto Schirru

10.2139/ssrn.5226606 preprint EN 2025-01-01
 Nuclear Power Plant accident identification system with “don’t know” response capability: Novel deep learning-based approaches
OPENALEX - Publications 
Victor Henrique Cabral Pinheiro Marcelo C. Santos Filipe Santana Moreira do Desterro Roberto Schirru Cláudio Márcio do Nascimento Abreu Pereira

10.1016/j.anucene.2019.107111 article EN Annals of Nuclear Energy 2019-10-28
 Comparative study of CUDA-based parallel programming in C and Python for GPU acceleration of the 4th order Runge-Kutta method
OPENALEX - Publications 
Davi F. Fernandes Marcelo C. Santos Adilson Costa da Silva Alan Miranda Monteiro de Lima

10.1016/j.nucengdes.2024.113050 article EN Nuclear Engineering and Design 2024-03-05
 Accident classification methodology with don’t know response for PWR nuclear reactors using the cuckoo optimization algorithm and principal component analysis method
OPENALEX - Publications 
Diego José Silva Nuzza de Souza Marcelo C. Santos Andressa S. Nicolau Roberto Schirru

10.1016/j.nucengdes.2024.113200 article EN Nuclear Engineering and Design 2024-04-11
 Development of a Deep Rectifier Neural Network for dose prediction in nuclear emergencies with radioactive material releases
OPENALEX - Publications 
Filipe Santana Moreira do Desterro Marcelo C. Santos Kelcio J. Gomes Adino Heimlich Roberto Schirru and 1 more Cláudio M.N.A. Pereira

10.1016/j.pnucene.2019.103110 article EN Progress in Nuclear Energy 2019-07-30
 A multiple-architecture deep learning approach for nuclear power plants accidents classification including anomaly detection and “don’t know” response
OPENALEX - Publications 
Marcelo C. Santos Cláudio M.N.A. Pereira Roberto Schirru

10.1016/j.anucene.2021.108521 article EN Annals of Nuclear Energy 2021-07-03
 A novel radioactive particle tracking algorithm based on deep rectifier neural network
OPENALEX - Publications 
Roos Sophia de Freitas Dam Marcelo C. Santos Filipe Santana Moreira do Desterro William Luna Salgado Roberto Schirru and 1 more César Marques Salgado

Radioactive particle tracking (RPT) is a minimally invasive nuclear technique that tracks radioactive inside volume of interest by means mathematical location algorithm. During the past decades, many algorithms have been developed including ones based on artificial intelligence techniques. In this study, RPT applied in simulated test section employs simplified mixer filled with concrete, six scintillator detectors and a137Cs emitting gamma rays 662 keV. The was using MCNPX code, which code...

10.1016/j.net.2021.01.002 article EN cc-by-nc-nd Nuclear Engineering and Technology 2021-01-12
 Exploring LSTM-based prediction for radioactive plume atmospheric dispersion in nuclear power plant emergencies: A preliminary study
OPENALEX - Publications 
Marcos A.G.S. Filho Marcelo C. Santos Cláudio M.N.A. Pereira

10.1016/j.nucengdes.2024.112982 article EN Nuclear Engineering and Design 2024-02-03
 Development of a deep rectifier neural network for fluid volume fraction prediction in multiphase flows by gamma-ray densitometry
OPENALEX - Publications 
César Marques Salgado Roos Sophia de Freitas Dam William Luna Salgado Marcelo C. Santos Roberto Schirru

10.1016/j.radphyschem.2021.109708 article EN Radiation Physics and Chemistry 2021-07-11
 Prediction of fluids volume fraction and barium sulfate scale in a multiphase system using gamma radiation and deep neural network
OPENALEX - Publications 
Roos Sophia de Freitas Dam Marcelo C. Santos William Luna Salgado Bianca Lamarca da Cruz Roberto Schirru and 1 more César Marques Salgado

10.1016/j.apradiso.2023.111021 article EN Applied Radiation and Isotopes 2023-09-06
 GPU-based implementation of a diagnostic wind field model used in real-time prediction of atmospheric dispersion of radionuclides
OPENALEX - Publications 
André Pinheiro Filipe Santana Moreira do Desterro Marcelo C. Santos Cláudio M.N.A. Pereira Roberto Schirru

10.1016/j.pnucene.2017.05.027 article EN Progress in Nuclear Energy 2017-06-17
 Determination of eccentric deposition thickness on offshore horizontal pipes by gamma-ray densitometry and artificial intelligence technique
OPENALEX - Publications 
Tâmara P. Teixeira Marcelo C. Santos Caroline Mattos Barbosa William Luna Salgado Roos Sophia de Freitas Dam and 3 more César Marques Salgado Roberto Schirru Ricardo Tadeu Lopes

10.1016/j.apradiso.2020.109221 article EN Applied Radiation and Isotopes 2020-06-26
 OPTIMIZING DEEP NEURAL NETWORKS FOR NUCLEAR POWER PLANT TEMPERATURE ESTIMATION IN DEEP LEARNING-BASED: A STUDY ON FEATURE IMPORTANCE AND OUTLIER DETECTION
OPENALEX - Publications 
Bernardo Mendonça Caixeta J. M. A. B. Guimarães Marcelo C. Santos Andressa Nicolau Roberto Schirru and 3 more Marco Silva Grazielle Frazão Muzitano Marcelo de Castro Justino

10.29327/vii-sencir-semana-nacional-de-engenharia-nuclear-e-da-energia-e-ciencias-das-radiacoes-449507.956056 article EN 2024-01-01
 GPU-based implementation of a real-time model for atmospheric dispersion of radionuclides
OPENALEX - Publications 
Marcelo C. Santos André Pinheiro Roberto Schirru Cláudio M.N.A. Pereira

10.1016/j.pnucene.2018.09.015 article EN Progress in Nuclear Energy 2018-10-09
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