Joaquim Tinoco
Joaquim Tinoco
PhD in Geotechnical Engineering
Email confirmado em civil.uminho.pt
TítuloCitado porAno
Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time
J Tinoco, AG Correia, P Cortez
Construction and Building Materials 25 (3), 1257-1262, 2011
632011
Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns
J Tinoco, AG Correia, P Cortez
Computers and Geotechnics 55, 132-140, 2014
492014
A novel approach to predicting Young's modulus of jet grouting laboratory formulations over time using data mining techniques
J Tinoco, AG Correia, P Cortez
Engineering Geology 169, 50-60, 2014
322014
Evaluation of mechanical properties of jet grouting columns using different test methods
AG Correia, T Valente, J Tinoco, J Falcão, J Barata, D Cebola, S Coelho
17th International Conference on Soil Mechanics and Geotechnical Engineering …, 2009
282009
Artificial intelligence applications in transportation geotechnics
AG Correia, P Cortez, J Tinoco, R Marques
Geotechnical and Geological Engineering 31 (3), 861-879, 2013
252013
A new empirical system for rock slope stability analysis in exploitation stage
M Pinheiro, S Sanches, T Miranda, A Neves, J Tinoco, A Ferreira, ...
International Journal of Rock Mechanics and Mining Sciences 76, 182-191, 2015
242015
Jet grouting column diameter prediction based on a data-driven approach
J Tinoco, A Gomes Correia, P Cortez
European Journal of Environmental and Civil Engineering 22 (3), 338-358, 2018
152018
A data mining approach for jet grouting uniaxial compressive strength prediction
J Tinoco, AG Correia, P Cortez
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 553-558, 2009
102009
Using data mining techniques to predict deformability properties of jet grouting laboratory formulations over time
J Tinoco, AG Correia, P Cortez
Portuguese Conference on Artificial Intelligence, 491-505, 2011
92011
Jet grouting mechanicals properties prediction using data mining techniques
J Tinoco, AG Correia, P Cortez
Grouting and Deep Mixing 2012, 2082-2091, 2012
82012
Geomechanical characterization of volcanic rocks using empirical systems and data mining techniques
T Miranda, LR Sousa, AT Gomes, J Tinoco, C Ferreira
Journal of rock mechanics and geotechnical engineering 10 (1), 138-150, 2018
72018
A data mining approach for predicting jet grouting geomechanical parameters
J Tinoco, AG Correia, P Cortez
Road Materials and New Innovations in Pavement Engineering, 97-104, 2011
72011
The use of data mining techniques in rockburst risk assessment
LR e Sousa, T Miranda, RL e Sousa, J Tinoco
Engineering 3 (4), 552-558, 2017
62017
Prediction of soil-cement mechanical properties using EC2 approach
J Tinoco, AG Correia
Advanced materials research 779, 286-289, 2013
62013
Application of data mining techniques to jet grouting columns design
JAB Tinoco
62012
Application of data mining techniques in the estimation of mechanical properties of jet grouting laboratory formulations over time
J Tinoco, AG Correia, P Cortez
Soft Computing in Industrial Applications, 283-292, 2011
62011
Modelling tyre-road noise with data mining techniques
E Freitas, J Tinoco, F Soares, J Costa, P Cortez, P Pereira
Archives of Acoustics 40 (4), 547-560, 2015
52015
SQI–A quality assessment index for rock slopes
M Pinheiro, S Sanches, TFS Miranda, A Neves, JAB Tinoco, A Ferreira, ...
XVI ECSMGE Geotechnical Engineering for Infrastructure and Development 4 …, 2015
52015
Stability condition identification of rock and soil cutting slopes based on soft computing
J Tinoco, A Gomes Correia, P Cortez, DG Toll
Journal of Computing in Civil Engineering 32 (2), 04017088, 2017
42017
A data-driven approach for qu prediction of laboratory soil-cement mixtures
J Tinoco, A Alberto, P da Venda, AG Correia, L Lemos
Procedia engineering 143, 566-573, 2016
42016
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Artigos 1–20