Design errors constitute the major part of rework in construction engineering projects. Due to the significant overlap between engineering, design and construction works industrial Engineering, Procurement and Construction (EPC) projects have high propensity of encountering desi…
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This research proposes a novel framework to control the stencil cleaning operation in the stencil printing process (SPP) on a real-time basis. In a surface mount assembly (SMA) line, most of the soldering defects result from the SPP. Stencil cleaning is necessary to remove the a…
Discovering important patterns in data can help cities to plan, monitor, and assign resources more efficiently, converting them in smart cities with more organized communities. Machine learning models can take advantage of this large amount of data to improve and scale these cit…
Complex nonlinear dynamical systems are frequently utilized and play a significant role in the study of natural science and many other fields. This thesis studies dynamical systems both theoretically and numerically with the help of machine learning, quantifying uncertainties in…
In this dissertation, I use novel methodologies that incorporate machine learning into causal policy evaluation such as double robust machine learning to study some key issues in Productivity and Finance. In the first chapter, I evaluate the impacts of European public subsidies …
This PhD thesis utilises diagrams as a language for research and design practice to critically investigate algorithmic prediction. As a tool for practice-based research, the language of diagrams is presented as a way to read algorithmic prediction as a set of intricate computati…
This study presents mathematical modeling for resilience measure of a regionally classified sub-system within a grid and the total power grid itself. This study also introduces and compares a non-classification and classification-based machine learning restoration framework for …
Cyber-Physical System consists of the integration of computational components in the cyber-domain with the physical-domain processes. In cyber-domain, embedded computers and networks monitor and control the physical processes, and in the physical-domain the sensors and actuators…
Manually repairing code is quite time-consuming for programmers and costly for companies. We observe that the repairs for dependency-related build failures are typically hand-worked and highly rule-based.
Human organs require a relatively high and constant arterial blood pressure (ABP) to ensure adequate perfusion. A prolonged period of low blood pressure (BP) is a dysfunction of the cardiovascular system called arterial hypotension and frequently occurs in intensive care units o…
Abdominal aortic aneurysms (AAA) is a dilation of the abdominal aorta, typically within the infra-renal segment of the vessel that cause an expansion of at least 1.5 times the normal vessel diameter. It is becoming a leading cause of death in the United States and around the wor…
Through the convergence of disability studies and literary cognitive studies, Autistic Characters: (de)coding embedded sentiment explores depictions of autistic characters in literature with the use of close readings and scaled readings, a computational analytics method which us…
In this dissertation, we consider the approximation of unknown or intractable integrals using quadrature, especially when the evaluation of these integrals is considered very costly. This is a central problem both within and without machine learning, including model averaging, (…
Cyberbullying, or online bullying, is a form of harassment that occurs through the use of digital communication devices and social networking platforms, and ultimately leads to physical or mental harm or distress to the intended target. While the widespread use of social media s…
Every ecological system, past or present, developed from a path-dependent history of evolution and ecology. A tangible way to describe this history is through characterizing biodiversity patterns and processes of stability or change. Although the traditional use of biodiversity …
Digital image forensics entails the deduction of the origin, history and authenticity of a digital image. While a number of powerful techniques have been developed for this purpose, much of the focus has been on images depicting natural scenes and generic objects. In this thesis…
Healthcare delivery is facing a paradigm change to embrace rapid development in information technology, data analytics, artificial intelligence, as well as numerous medical devices and treatments to achieve smart and interconnected care.
The world-wide refugee problem has a long history, but continues to this day, and will unfortunately continue into the foreseeable future. Efforts to adequately anticipate, mitigate and prepare for refugee flows, however, are still lacking. There are many potential causes for re…
Modern machine learning methods have been widely applied in genomics and metagenomics data analysis. This dissertation focuses on the area of unsupervised machine learning and discusses community membership testing, matrix completion and generative adversarial nets with applicat…
This dissertation focuses on two different but related natural language processing problems, namely, question answering and question generation. Automated question answering (QA) is the process of finding answers to natural language questions. This problem has been studied since…