Jaeho Lee
- Development of a Long-Term Bridge Element Performance Model Using Elman Neural Networks. Dans: Journal of Infrastructure Systems, v. 20, n. 3 (septembre 2014). (2014):
- Minimising uncertainty in long‐term prediction of bridge element. Dans: Engineering, Construction and Architectural Management, v. 20, n. 2 (février 2013). (2013):
- (2012): Performance Prediction of Concrete Elements in Bridge Substructures using Integrated Deterioration Method. Présenté pendant: 18th IABSE Congress: Innovative Infrastructures – Towards Human Urbanism, Seoul, Korea, 19-21 September 2012.
- Effective Implementation of a Bridge Management System Using Limited Historical Inspection Records. Présenté pendant: IABSE Conference: Information and Communication Technology (ICT) for Bridges, Buildings and Construction Practice, Helsinki, Finland, June 2008. (2008):
- (2013): Enhancing Visual-based Bridge Condition Assessment for Concrete Crack Evaluation Using Image Processing Techniques. Présenté pendant: IABSE Symposium: Long Span Bridges and Roofs - Development, Design and Implementation, Kolkata, India, 24-27 September 2013.
- (2009): Generating Historical Condition Ratings for the Reliable Prediction of Bridge Deteriorations. Présenté pendant: IABSE Symposium: Sustainable Infrastructure - Environment Friendly, Safe and Resource Efficient, Bangkok, Thailand, 9-11 September 2009.
- Development of hybrid optimisation method for Artificial Intelligence based bridge deterioration model — Feasibility study. Dans: Automation in Construction, v. 31 (mai 2013). (2013):
- Refinement of Backward Prediction Method for Reliable Artificial Intelligence-Based Bridge Deterioration Modelling. Dans: Advances in Structural Engineering, v. 15, n. 5 (mai 2012). (2012):
- Estimation of model parameters and ground movement in shallow NATM tunnel by means of neural network. Dans: Tunnelling and Underground Space Technology, v. 21, n. 3-4 (mai 2006). (2006):
- Identification and prediction of deformation behavior around a shallow NATM tunnel using strain softening model. Dans: Tunnelling and Underground Space Technology, v. 21, n. 3-4 (mai 2006). (2006):
- Improving the reliability of a Bridge Management System (BMS) using an ANN-based Backward Prediction Model (BPM). Dans: Automation in Construction, v. 17, n. 6 (août 2008). (2008):
- Development of an Integrated Method for Probabilistic Bridge-Deterioration Modeling. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 28, n. 2 (avril 2014). (2014):
- Improving Reliability of Markovian-based Bridge Deterioration Model Using Artificial Neural Network. Présenté pendant: 35th Annual Symposium of IABSE / 52nd Annual Symposium of IASS / 6th International Conference on Space Structures: Taller, Longer, Lighter - Meeting growing demand with limited resources, London, United Kingdom, September 2011. (2011):
- (2010): Long-term Prediction of Bridge Element Performance Using Time Delay Neural Networks (TDNNs). Présenté pendant: IABSE Symposium: Large Structures and Infrastructures for Environmentally Constrained and Urbanised Areas, Venice, Italy, 22-24 September 2010.
- (2008): An ANN-Based Backward Prediction Model for Reliable Bridge Management System Implementations Using Limited Inspection Records – Case Studies. Présenté pendant: 17th IABSE Congress: Creating and Renewing Urban Structures – Tall Buildings, Bridges and Infrastructure, Chicago, USA, 17-19 September 2008.