The shortage of Arabic language resources in the field of corpus linguistics compared to other popular languages such as English, Chinese and Spanish inspired this work. The research in the field of dialectal Arabic is still limited due to the relative unavailability of resource…
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The theories of formal language and automata are fundamental in several areas of computer science. During decades of development, these theories have been stretched out and reach many branches and application contexts, ranging from lexical analysis, natural language processing, …
Fingerprints are one of the most widely used personal identification traits. They play a crucial role in forensics because they are considered to be unique to each person. For many years, the identification of individuals had been carried out by human operators. However, with te…
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…
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…
Coherent structures form spontaneously in far-from-equilibrium spatiotemporal systems and are found at all spatial scales in natural phenomena from laboratory hydrodynamic flows and chemical reactions to ocean and atmosphere dynamics. Phenomenologically, they appear as key compo…
This study aims at developing and integrating a clinical decision support tool that involves accessing electronic health record data, preprocessing datasets from the electronic health record, and applying machine learning algorithms to the data to predict the possibility of a pa…
Big data is considered to play an important role in the fourth industrial revolution, which requires engineers and computers to fully utilize data to make smart decisions and improve the performance of industrial processes and of their control and safety systems. Traditionally, …