Nii Attoh-Okine
- (2025): Multiway Analytics Applied to Railway Track Geometry and Ballast Conditions. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 11, n. 1 (March 2025).
- (2023): Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis. In: Journal of Transportation Engineering, Part A: Systems, v. 149, n. 3 (March 2023).
- (2017): Using Tensor Factorization to Predict Network-Level Performance of Bridges. In: Journal of Infrastructure Systems, v. 23, n. 3 (September 2017).
- (2021): Hybrid Rail Track Quality Analysis using Nonlinear Dimension Reduction Technique with Machine Learning. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 48, n. 12 (December 2021).
- (2020): Risk and Advantages of Federated Learning for Health Care Data Collaboration. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 6, n. 3 (September 2020).
- (2019): Machine Learning Ensembles and Rail Defects Prediction: Multilayer Stacking Methodology. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 5, n. 4 (December 2019).
- (2018): Bivariate Severity Analysis of Train Derailments using Copula-Based Regression Models. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 4, n. 4 (December 2018).
- (2017): Hybrid Particle Swarm Optimization and K-Means Analysis for Bridge Clustering Based on National Bridge Inventory Data. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 3, n. 2 (June 2017).
- (2017): Prediction of Structural Deficiency Ratio of Bridges Based on Multiway Data Factorization. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 3, n. 2 (June 2017).
- (2013): Pavement crack classification based on tensor factorization. In: Construction and Building Materials, v. 48 (November 2013).
- (2016): Using copula method for pipe data analysis. In: Construction and Building Materials, v. 106 (March 2016).
- (2016): Using multiple adaptive regression to address the impact of track geometry on development of rail defects. In: Construction and Building Materials, v. 127 (November 2016).
- (2014): Analysis of ground penetrating radar data using hierarchical Markov Chain Monte Carlo simulation. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 41, n. 1 (January 2014).
- (2006): Sealing system selection for jointed concrete pavements – A review. In: Construction and Building Materials, v. 20, n. 8 (October 2006).
- (2018): Copula parameter estimation using Bayesian inference for pipe data analysis. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 45, n. 1 (January 2018).
Structurae cooperates with
