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Joaquim Tinoco
Joaquim Tinoco
PhD in Geotechnical Engineering
Verified email at civil.uminho.pt
Title
Cited by
Cited by
Year
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
1482014
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
1112011
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
792017
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
552018
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
492015
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
422020
Evaluation of mechanical properties of jet-grouting columns using different test methods
AG Correia, T Valente, J Tinoco, J Falc„o, J Barata, D Cebola, S Coelho
Proceedings of the 17th International Conference on Soil Mechanics and†…, 2009
372009
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
272020
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
212018
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
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Articles 1–20