This study presents a new approach for nonlinear multi-scale constitutive models using artificial neural networks (ANNs). Three ANN classes are proposed to characterize the nonlinear multi-axial stress-strain behavior of metallic, polymeric, and fiber reinforced polymeric (FRP) …
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Many transit agencies are interested in employing transit signal priority (TSP) at signalized intersections in urban areas to reduce travel time and achieve other operational benefits. However, state-of-the-art systems do not consider the influence of bus dwelling activities at …
The emergency department (ED) provides medical care to a variety of patients with different ailments, acuity levels and various "chief complaints". While most ED patients are discharged after receiving treatment, some will be admitted to the hospital's units. The objective of th…
In this research study, an attempt is made to address limitations in soil stabilization. Incorporation of the clay mineralogy aspects of the soils into the stabilization design process was first addressed, followed by durability studies to address the long-term effectiveness of …
Transportation networks of highway bridges are considered the lifelines of a community’s infrastructure as they play a significant role in joining communities and serving as the first outlet during a calamity such as earthquakes. They are expected to sustain minor damage and mai…
Reserve estimation is an essential part of developing any reservoir. Predicting the long-term production performance and estimated ultimate recovery (EUR) in unconventional wells has always been a challenge. Developing a reliable and accurate production forecast in the oil and g…
A new methodology was developed for flow regime identification in pipes. The method utilizes the pattern recognition abilities of Artificial Neural Networks and the unprocessed time series of a system-monitoring-signal. The methodology was tested with synthetic data from a conce…
Vision-based object stabilisation is an exciting and challenging area of research, and is one that promises great technical advancements in the field of computer vision. As humans, we are capable of a tremendous array of skilful interactions, particularly when balancing unstable…
Self-healing systems promise operating cost reductions in large-scale computing environments through the automated detection of, and recovery from, faults. However, at present there appears to be little known empirical evidence comparing the different approaches, or demonstratio…
Soil compaction is a widely spread problem in agricultural soils that has negative agronomic and environmental impacts. The former may lead to poor crop growth and yield, whereas the latter may lead to poor hydraulic properties of soils, and high risk to flooding, soil erosion a…
The discoveries of materials property-property correlations usually require prior knowledge or serendipity, the process of which can be time-consuming, costly, and labour-intensive. On the other hand, artificial neural networks (ANNs) are intelligent and scalable modelling techn…
The forecasted proportions of urban population to total population in Malaysia are steadily increasing from 26% in 1965 to 70% in 2020. Therefore, there is a need to fully appreciate the legacy of the urbanization of Malaysia by providing affordable housing. The main aim of this…
Short-term electricity price forecasting is now crucial practice in deregulated electricity markets, as it forms the basis for maximizing the profits of the market participants. In this thesis, short-term electricity prices are forecast using three different predictor schemes, A…
Global warming arises from an energy imbalance where increased radiative forcing from greenhouse gases traps additional heat in the Earth system. Over recent decades, more than 90% of this heat has gone into the ocean, causing thermal expansion that leads to sea level rise. Addi…
Circular air-coupled ultrasonic testing (ACUT) setup for the inspection of commercial carbon-carbon composite aircraft brake disks was developed in Intelligent Measurement and Evaluation Laboratory (IMEL) at Southern Illinois University Carbondale (SIUC). The developed test setu…
Although Black-Scholes (BS) model was a major breakthrough in the theory of finance it exhibited significant, persistent, and systematic biases due to some of its simplified assumptions. Consequently, several parametric models have been developed where some of the BS's simplifie…
The purpose of this study is to compare the performance of the Ordinal Logistic Regression (OLR) and Artificial Neural Network (ANN) models when analyzing ordinal data using different scenarios by varying the combinations of the marginal probability distributions and correlation…
Developing a landfill model is essential to understanding how the landfill gases are generated, and migrate. In this Thesis, four different aspects of landfill modeling are studied, in order to design a realistic model for a landfill, and an efficient landfill numerical simulato…
A model for estimating travel time on short arterial links of congested urban networks, using currently available technology, is introduced in this thesis. The objective is to estimate travel time, with an acceptable level of accuracy for real-life traffic problems, such as cong…