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Joaquim Tinoco
Joaquim Tinoco
PhD in Geotechnical Engineering
Email confirmado em civil.uminho.pt
Título
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Ano
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
1522014
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
1142011
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
812017
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
592014
Artificial intelligence applications in transportation geotechnics
A Gomes Correia, P Cortez, J Tinoco, R Marques
Geotechnical and Geological Engineering 31, 861-879, 2013
582013
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
562018
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
512015
A novel approach based on soft computing techniques for unconfined compression strength prediction of soil cement mixtures
J Tinoco, A Alberto, P da Venda, A Gomes Correia, L Lemos
Neural Computing and Applications 32 (13), 8985-8991, 2020
452020
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
Proceedings of the 17th International Conference on Soil Mechanics and …, 2009
402009
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
352018
An application of Markov chains to predict the evolution of performance indicators based on pavement historical data
AV Moreira, J Tinoco, JRM Oliveira, A Santos
International Journal of Pavement Engineering 19 (10), 937-948, 2018
332018
Piezometric level prediction based on data mining techniques
J Tinoco, M de Granrut, D Dias, T Miranda, AG Simon
Neural Computing and Applications 32 (8), 4009-4024, 2020
292020
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, 2018
222018
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
212009
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
182016
Predictive and prescriptive analytics in transportation geotechnics: Three case studies
J Tinoco, M Parente, AG Correia, P Cortez, D Toll
Transportation Engineering 5, 100074, 2021
162021
Data-driven model for stability condition prediction of soil embankments based on visual data features
J Tinoco, A Gomes Correia, P Cortez, DG Toll
Journal of Computing in Civil Engineering 32 (4), 04018027, 2018
142018
Modelling tyre-road noise with data mining techniques
EF FREITAS, J Tinoco, F Soares, J Costa, P Cortez, P Pereira
Archives of Acoustics 40 (4), 547–560, 2015
142015
Application of data mining techniques to jet grouting columns design
JAB Tinoco
PQDT-Global, 2012
142012
Jet grouting mechanicals properties prediction using data mining techniques
J Tinoco, AG Correia, P Cortez
Grouting and Deep Mixing 2012, 2082-2091, 2012
142012
O sistema não pode efectuar a operação agora. Tente mais tarde.
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