Research Publications
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Publication Embargo Improving Pipe Degradation Modeling Using Artificial Intelligence Models with Age Plus Other Variables(American Society of Civil Engineers (ASCE), 2026-10-01) Salman F.M; Micevski, T; Dias W.P.SThis paper uses data on stormwater pipes from 21 distinct ages ranging from 3 to 110 years, the degradation of which had been originally modeled using a Markov scheme (using only age as an explanatory variable); in order to establish whether artificial intelligence (AI) models can improve the fitting and prediction of degradation levels. The AI models comprise (1) an artificial neural network (ANN) with only age as a variable; (2) another ANN model with pipe material, pipe diameter, exposure condition, and soil type as variables in addition to age; and (3) a random forest (RF) model with the same five variables. The multiparameter models, especially the RF one, were found to perform much better (e.g., R2 value of 0.98) than those using only age as the independent variable (with R2 values around 0.24). The RF model also showed better performance with respect to time stationarity. Pipe material was found to be an explanatory variable almost as dominant as age, with concrete pipes deteriorating much less than vitreous clay ones. The fluctuation of the observed overall damage rating with age was reflected in a similar pattern of fluctuation for the proportion of clay pipes in the samples obtained at the different ages.Publication Embargo A Methodological Approach for the Quality Assurance of Virtual Platforms Delivering Short-Term Online IT Courses(IEEE, 2023-06-12) Munasinghe, B.A; Gamage, M. P. A. W.; Dinesh Asanka, P. P. G.Online course delivery democratizes learning throughout life and creates opportunities for knowledge socialization. Short online IT courses have become famous among the audience. This research paper specifies weights by applying the Best Worst Method (BWM) for the dimensions and indicators determined as criteria a platform needs to meet to be a quality short online IT course delivery platform (SOITCDP). In this context, the paper considers thirteen popular SOITCDP and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to rank them based on their performance. The Sensitivity analysis ensures that the framework universally applies to evaluating any SOITCDP. The evaluation results are presented through comprehensive and interactive dashboards demonstrated on Power BI. The result of the research depicts that the "Teaching Resources" of the dimensions gained the highest weight while the "Attraction" indicator secured the rank one.The overall performance of platforms showcases that "Udemy" has excelled in all dimensions and indicators. The subsequent study also provides directions for implementing a framework to evaluate the performance of the platforms. The novelty of the research is highlighted on the grounds of implementing a framework unique to the evaluation of short-term online IT courses and the demonstration of results on interactive dashboards.