Nii Attoh-Okine
- 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 (März 2025). (2025):
- Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis. In: Journal of Transportation Engineering, Part A: Systems, v. 149, n. 3 (März 2023). (2023):
- Using Tensor Factorization to Predict Network-Level Performance of Bridges. In: Journal of Infrastructure Systems, v. 23, n. 3 (September 2017). (2017):
- 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 (Dezember 2021). (2021):
- 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). (2020):
- 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 (Dezember 2019). (2019):
- 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 (Dezember 2018). (2018):
- 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 (Juni 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 (Juni 2017). (2017):
- Pavement crack classification based on tensor factorization. In: Construction and Building Materials, v. 48 (November 2013). (2013):
- Using copula method for pipe data analysis. In: Construction and Building Materials, v. 106 (März 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). (2016):
- 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 (Januar 2014). (2014):
- Sealing system selection for jointed concrete pavements – A review. In: Construction and Building Materials, v. 20, n. 8 (Oktober 2006). (2006):
- 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 (Januar 2018). (2018):