Abstract: A new dynamic time-delay fuzzy wavelet neural network model is presented for nonparametric identification of structures using the nonlinear autoregressive moving average with exogenous inputs approach. The model is based ...

Abstract: Accurate and timely forecasting of traffic flow is of paramount importance for effective management of traffic congestion in intelligent transportation systems. In this paper, a novel nonparametric dynamic time-delay ...

Abstract: The work zone capacity cannot be described by any mathematical function because it is a complicated function of a large number of interacting variables. In this paper, a novel adaptive neuro-fuzzy logic model is presented ...

Abstract: A new freeway work zone traffic delay and cost optimization model is presented in terms of two variables: the length of the work zone segment, and the starting time of the work zone using

Abstract: This paper presents a Bayesian hypothesis testing-based probabilistic assessment method for nonparametric damage detection of building structures, considering the uncertainties in both experimental results and model ...

Abstract: Concrete spalling in prefabricated shield tunnels is a well-recognized issue in underground engineering that impacts the performance and reliability of a tunnel. This paper presents a novel multivariate probabilistic ...