Indoor thermal comfort in residential buildings is usually achieved by tenants manually adjusting fixed temperature set-points; this is known as a 'static' method. Prior research has explored automated control of thermal comfort based on the concept of a Predicted Mean Vote (PMV…
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Motor vehicle crashes are one of our nation’s most serious social, economic and health issues. They are the leading cause of death among children and young adults, killing approximately 1.35 million people each year. Providing a safe and efficient transportation system is the pr…
Global climate change is a major area of concern to public and climate researchers. It impacts flooding, crop yields, water based diseases, etc. Significant effort has gone into developing climate models. Global climate models use a coarse grid of 300x300 Km 2 , while the resolu…
Short-term load forecasting of power system has been a classic problem for a long time. Not merely it has been researched extensively and intensively, but also a variety of forecasting methods has been raised. This thesis outlines some aspects and functions of smart meter. It al…
Hospital readmission is a complicated issue and the high readmission rates have attracted great attention to the U.S. healthcare systems. This research proposed a neural-network-based classification approach and the swarm intelligence-based support vector machine (SVM) to identi…
Intelligent control that involves both intelligence and control theory to solve complex, nonlinear, multivariate systems is a challenging problem. Among the various neurocontrol schemes, adaptive critic designs (ACDs), proposed by Werbos, is the most powerful and yet the most di…
Today, there is a substantial number of software and research groups that focus on the development of image processing software to extract useful information from medical images, in order to assist and improve patient diagnosis. The work presented in this thesis is centred on pr…
Artificial Neural Networks (ANNs) have been comprehensively researched, both from a computer scientific perspective and with regard to their use for predictive modelling in a wide variety of applications including hydrology and the environment. Yet their adoption for live, real-…
There are two main defined classes of uncertainty namely: fuzziness and ambiguity, where ambiguity is ‘one-to-many’ relationship between syntax and semantic of a proposition. This definition seems that it ignores ‘many-to-many’ relationship ambiguity type of uncertainty. In this…
The history of crude oil desalting/dehydration plant (DDP) has been marked in progressive phases-the simple gravity settling phase, the chemical treatment phase, the electrical enhancement phase and the dilution water phase. In recent times, the proper cachet would be the contro…
This thesis is concerned with one important question in artificial neural networks, that is, how biologically inspired connectivity of a network affects its associative memory performance. In recent years, research on the mammalian cerebral cortex, which has the main responsibil…
Towards having a one size fits all solution to cocaine detection at borders; this thesis proposes a systematic cocaine detection methodology that can use raw data output from a fibre optic sensor to produce a set of unique features whose decisions can be combined to lead to reli…
This thesis proposes a novel set of generic and compact biologically plausible VLSI (Very Large Scale Integration) neural circuits, suitable for implementing a parallel VLSI network that closely resembles the function of a small-scale neocortical network. The proposed circuits i…
This work focused on the power estimation of plug load devices, and in particular on Personal Computers. As a result, neural network classification estimated power with less than 5.4% errors. Study showed that internal performance counters properly described the overall system a…
The rapid growth of Photovoltaic (PV) technology has been very visible over the past decade. Recently, the penetration of PV plants to the existing grid has significantly increased. Such increase in the integration of solar energy has brought attention to the solar irradiance fo…
Site search is usually not as advanced as the global search engine and suffers from a few problems such as lack of algorithm transparency and maintenance capability. Also, site search is challenged by the reality that data set are significantly smaller, with fewer searches and m…
Manufacturing processes are known for their intricacies in changing material shapes and properties. New generations of manufacturing technologies, known as flexible manufacturing, are moving toward design freedom, which allows producing parts with optimized geometries and high c…
Early efforts to predict the spread of disease have been traced back to the 14 th century. Most notable in historical disease prediction is the Black Death which engulfed Europe from 1347 to 1351, killing an estimated 200 million people. Attempts to predict the spread of disease…
A human brain has billions of processing elements operating simultaneously; the only practical way to model this computationally is with a massively-parallel computer. A computer on such a significant scale requires hundreds of thousands of interconnected processing elements, a …