mateus mendes
mateus mendes
Polytechnic Institute of Coimbra, Portugal, and Institute of Systems and Robotics of the University
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Cited by
Cited by
Artificial neural network modelling of the antioxidant activity and phenolic compounds of bananas submitted to different drying treatments
RPF Guiné, MJ Barroca, FJ Gonçalves, M Alves, S Oliveira, M Mendes
Food Chemistry 168, 454-459, 2015
Augmented reality maintenance assistant using yolov5
A Malta, M Mendes, T Farinha
Applied Sciences 11 (11), 4758, 2021
Comparing LSTM and GRU models to predict the condition of a pulp paper press
BC Mateus, M Mendes, JT Farinha, R Assis, AM Cardoso
Energies 14 (21), 6958, 2021
Modelling the influence of origin, packing and storage on water activity, colour and texture of almonds, hazelnuts and walnuts using artificial neural networks
RPF Guiné, CFF Almeida, PMR Correia, M Mendes
Food and Bioprocess Technology 8, 1113-1125, 2015
Predicting motor oil condition using artificial neural networks and principal component analysis
J RodRigues, I Costa, JT Farinha, M Mendes, L Margalho
Eksploatacja i Niezawodność 22 (3), 2020
Wind farm and resource datasets: A comprehensive survey and overview
D Menezes, M Mendes, JA Almeida, T Farinha
Energies 13 (18), 4702, 2020
Anticipating future behavior of an industrial press using LSTM networks
BC Mateus, M Mendes, JT Farinha, AM Cardoso
Applied Sciences 11 (13), 6101, 2021
Convective drying of apples: kinetic study, evaluation of mass transfer properties and data analysis using artificial neural networks
RPF Guiné, AC Cruz, M Mendes
International journal of food engineering 10 (2), 281-299, 2014
Robot navigation using a sparse distributed memory
M Mendes, M Crisóstomo, AP Coimbra
2008 IEEE International Conference on Robotics and Automation, 53-58, 2008
Experiments with assessment of creative systems: an application of Ritchie’s criteria
FC Pereira, M Mendes, P Gervás, A Cardoso
Proceedings of the workshop on computational creativity, 19th international …, 2005
Assessing a sparse distributed memory using different encoding methods
M Mendes, MM Crisóstomo, AP Coimbra
Proceedings of the world congress on engineering 1, 1-6, 2009
Evaluation of phenolic compounds and antioxidant activity of blueberries and modelization by artificial neural networks
RPF Guiné, S Matos, FJ Gonçalves, D Costa, M Mendes
International Journal of Fruit Science 18 (2), 199-214, 2018
Short and long forecast to implement predictive maintenance in a pulp industry
JA Rodrigues, JT Farinha, M Mendes, R Mateus, AM Cardoso
Eksploatacja i Niezawodność 24 (1), 2022
Modelling through artificial neural networks of the phenolic compounds and antioxidant activity of blueberries
R Guiné, C Gonçalves, S Matos, F Gonçalves, DVT Costa, M Mendes
Iranian Journal of Chemistry and Chemical Engineering 37 (2), 193-212, 2018
Artificial neural network modelling of the chemical composition of carrots submitted to different pre-drying treatments
MJ Barroca, RPF Guiné, ARP Calado, PMR Correia, M Mendes
Journal of Food Measurement and Characterization 11, 1815-1826, 2017
Influence of sociodemographic factors on eating motivations–modelling through artificial neural networks (ANN)
RPF Guiné, AC Ferrão, M Ferreira, P Correia, M Mendes, E Bartkiene, ...
International journal of food sciences and nutrition 71 (5), 614-627, 2020
Robot navigation and manipulation based on a predictive associative memory
S Jockel, M Mendes, J Zhang, AP Coimbra, M Crisóstomo
2009 IEEE 8th International Conference on Development and Learning, 1-7, 2009
Projected augmented reality intelligent model of a city area with path optimization
M Mendes, J Almeida, H Mohamed, R Giot
Algorithms 12 (7), 140, 2019
AI and memory: Studies towards equipping a robot with a sparse distributed memory
M Mendes, AP Coimbra, M Crisóstomo
2007 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1743 …, 2007
Offline handwritten signature verification using deep neural networks
JAP Lopes, B Baptista, N Lavado, M Mendes
Energies 15 (20), 7611, 2022
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