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Issue DateTitleAuthor(s)
2011-01-01Improving the reliability of a bridge deterioration model for a decision support system using artificial intelligenceLee, J; Guan, H; Blumenstein, M; Loo, YC
2013-03-04Minimising uncertainty in long-term prediction of bridge elementLee, J; Blumenstein, M; Guan, H; Loo, YC
2011-10-11Modelling long-term bridge deterioration at structural member level using Artificial Intelligence techniquesHong, G; Wang, XP; Lee, J; Loo, YC; Blumenstein, M
2014-04-01Development of an integrated method for probabilistic bridge-deterioration modelingBu, G; Lee, J; Guan, H; Blumenstein, M; Loo, YC
2019-01-01Learning to propagate labels: Transductive propagation network for few-shot learningLiu, Y; Lee, J; Park, M; Kim, S; Yang, E; Hwang, SJ; Yang, Y
2014-09-01Development of a long-term bridge element performance model using elman neural networksLee, J; Guan, H; Loo, YC; Blumenstein, M
2012-01Towards a formal evaluation of creativity in parametric design process: a pilot studyLee, J; Gu, N; Jupp, JR; Sherratt, SM; Durling, D; Israsena, P; Poldma, T; Valtonen, A
2012-05-01Refinement of backward prediction method for reliable artificial intelligence-based bridge deterioration modellingLee, J; Guan, H; Loo, YC; Blumenstein, M
2012-11-27Long-term performance of bridge elements using integrated deterioration method incorporating elman neural networkBu, G; Lee, J; Guan, H; Loo, YC; Blumenstein, M
2019-01-01Multidisciplinary Analysis and Multiobjective Design Optimization of a Switched Reluctance Motor for Improving Sound QualityKim, H; Nerse, C; Lee, J; Wang, S
Results 1-10 of 12 (Search time: 0.013 seconds).