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Victor Henrique Cabral Pinheiro
Victor Henrique Cabral Pinheiro
Lecturer of Artificial Intelligence, University of Tartu
Verified email at ut.ee - Homepage
Title
Cited by
Cited by
Year
Deep rectifier neural network applied to the accident identification problem in a PWR nuclear power plant
MC dos Santos, VHC Pinheiro, FSM do Desterro, RK de Avellar, R Schirru, ...
Annals of Nuclear Energy 133, 400-408, 2019
532019
Nuclear Power Plant accident identification system with “don’t know” response capability: Novel deep learning-based approaches
VHC Pinheiro, MC dos Santos, FSM do Desterro, R Schirru, ...
Annals of nuclear energy 137, 107111, 2020
332020
Genetic programming applied to the identification of accidents of a PWR nuclear power plant
VHC Pinheiro, R Schirru
Annals of Nuclear Energy 124, 335-341, 2019
312019
Toward automated machine learning-based hyperspectral image analysis in crop yield and biomass estimation
KY Li, R Sampaio de Lima, NG Burnside, E Vahtmäe, T Kutser, K Sepp, ...
Remote Sensing 14 (5), 1114, 2022
272022
An automated machine learning framework in unmanned aircraft systems: new insights into agricultural management practices recognition approaches
KY Li, NG Burnside, RS de Lima, MV Peciña, K Sepp, VH Cabral Pinheiro, ...
Remote Sensing 13 (16), 3190, 2021
162021
Deep neural networks for estimation of temperature values for thermal ageing evaluation of nuclear power plant equipment
A dos Santos Nicolau, VHC Pinheiro, R Schirru, MC da Silva, AS de Mello, ...
Progress in Nuclear Energy 156, 104542, 2023
72023
Determination of alarm templates for decision support in nuclear power plants alarm floods using evolutionary computation
R Schirru, M Schirru, MVB Junior, A dos Santos Nicolau, AMM de Lima, ...
Progress in Nuclear Energy 123, 103308, 2020
72020
Identification of Postulated Accidents of a PWR Nuclear Power Plant Using Deep Autoencoders.
MC SANTOS, FSM DESTERRO, VHC PINHEIRO, R SCHIRRU, ...
International Nuclear Atlantic Conference – INAC, 2019
42019
Preliminary Investigation on the Application of Autoencoder Neural Networks to Enhance Differentiation Amongst Hardly Separable Patterns for Nuclear Accident Classification.
FSM DESTERRO, MC SANTOS, VHC PINHEIRO, R SCHIRRU, ...
International Nuclear Atlantic Conference - INAC, 2019
22019
Programação genética aplicada à identificação de acidentes de uma usina nuclear PWR
VHC Pinheiro
Universidade Federal do Rio de Janeiro, 2018
22018
Prediction of LOCA’s break size and location based on random forest and Multi Tasking Deep Neural Network
FSM Desterro, VHC Pinheiro, CMNA Pereira, R Schirru
Nuclear Engineering and Design 415, 112711, 2023
12023
Redes neurais de aprendizado profundo aplicadas a problemas complexos da engenharia nuclear
VHC Pinheiro
Doctoral Thesis. COPPE/UFRJ Rio de Janeiro, Brazil, 2020
12020
Alert Diagnostic System: SDA
AS Nicolau, MC dos Santos, VHC Pinheiro, FSM do Desterro, R Schirru, ...
Application of Expert Systems-Theoretical and Practical Aspects, 2018
12018
Caracterização físico-química de carbeto de silício, estado da arte
VHC Pinheiro
CETEM/MCTI, 2007
12007
An Automated Machine Learning Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition Approaches
L Kai-Yun, NG Burnside, RS de Lima, MV Peciña, K Sepp, VHC Pinheiro, ...
Remote Sensing 13 (16), 3190, 2021
2021
Alert Diagnostic System: SDA
A dos Santos Nicolau, MC dos Santos, VHC Pinheiro, FSM do Desterro, ...
Application of Expert Systems-Theoretical and Practical Aspects, 2019
2019
MEDIÇÃO DA POTÊNCIA SONORA EMITIDA POR ÔNIBUS
VHC Pinheiro
UNIVERSIDADE FEDERAL DO RIO DE JANEIRO, 2014
2014
Modelling of an Expert System for the Reactivity Control of a Pwr Nuclear Reactor
IB Baptista, AMM Lima, VHC Pinheiro, R Schirru
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