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2019-02-01

Ayele, Selam, Fayek, Aminah Robinson

Productivity measurement is a concern for both construction practitioners and researchers. In construction, productivity can be measured at three levels: activity, project, and industry. At the project level, previous studies focused on measuring the productivity of specific activities. In...

2019-03-01

Halala, Yonas Samuel, Fayek, Aminah Robinson

The term advanced work packaging (AWP), coined by the Construction Industry Institute (CII), refers to a disciplined process for project planning and execution; it was developed to address challenges such as cost and schedule overruns in the industrial construction sector. Case studies conducted...

2020-11-01

Seresht, Nima Gerami, Lourenzutti, Rodolfo, Fayek, Aminah Robinson

Fuzzy inference systems (FISs) are a predictive modeling technique based on fuzzy sets that utilize approximate reasoning to mimic the decision-making process of human experts. There are several expert- and data-driven methods for developing FISs, among which fuzzy clustering algorithms are the...

2019-01-01

Mark A. Lewis, Zhisheng Shuai, P. van den Driessche

A general framework for threshold parameters in population dynamics is developed using the concept of target reproduction numbers. This framework identies reproduction numbers and other threshold parameters in the literature in terms of their roles in population control. The framework is applied...

2014-10-01

Potts, Jonathan R, Marie Auger-M´eth´e, Karl Mokross, Mark A. Lewis

Complex systems of moving and interacting objects are ubiquitous in the natural and social sciences. Predicting their behaviour often requires models that mimic these systems with sufficient accuracy, while accounting for their inherent stochasticity. Although tools exist to determine which of a...

2022-11-01

Cui, Ye, E, Hanyu, Pedrycz, Witold, Fayek, Aminah Robinson

In this study, we introduce and develop a novel decision-making model that provides an original solution to problems of renewable energy site planning. The main idea is to construct a comprehensive and systematic methodology of ranking alternatives encountered in the environment of multicriteria...

2014

Wu, B., Newton, F., Kouritzin, Michael A.

A new class of discrete random fields designed for quick simulation and covariance inference under inhomogenous conditions is introduced and studied. Simulation of these correlated fields can be done in a single pass instead of relying on multi-pass convergent methods like the Gibbs Sampler or...

2016-01-01

Rahman, Md., Mustafizur, Khan, Md., Mohib-Ul-Haque, Ullah, Mohammad, Ahsan, Zhang, Xiaolei, Kumar, Amit

Canada has many isolated communities that are not connected to the electrical grid. Most of these communities meet their electricity demand through stand-alone diesel generators. Diesel generators have economic and environmental concerns that can be minimized by using hybrid renewable energy...

2022-03-10

Xiunan Wang, Hao Wang, Pouria Ramazi, Kyeongah Nah, Mark Lewis

Accurate prediction of the number of daily or weekly confirmed cases of COVID-19 is critical to the control of the pandemic. Existing mechanistic models nicely capture the disease dynamics. However, to forecast the future, they require the transmission rate to be known, limiting their prediction...

2017-01-01

Mahbub, Nafisa, Oyedun, Adetoyese Olajire, Kumar, Amit, Oestreich, Dorian, Arnold, Ulrich, Sauer, Jörg

The life cycle energy consumption and greenhouse gas (GHG) emission performances of forest biomass-derived oxymethylene ether (OME) synthesis used as a diesel additive are analyzed in this study. OME, a new alternative liquid fuel, has great miscibility with conventional fuels like diesel. OME...