Browsing Master Theses & Projects by Title
Now showing items 279-298 of 326
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Study of a 2 dimensional aggregation model with non-linear adaptations
(2018-08-01)In this paper we will explore the impacts on collective animal motion of adding non-linearity to the animals’ turning rate in a 2-dimensional model of aggregation. The model in question was proposed by Fetecau and implements ... -
Subgraph classification through neighborhood pooling
(2023-06-01)Subgraph classification is an emerging field in graph representation learning where the task is to classify a group of nodes (i.e., a subgraph) within a graph. Graph neural networks (GNNs) are the de facto solution for ... -
Supporting student success with machine learning and visual analytics
(2019-08-01)Post secondary institutions have a wealth of student data at their disposal. This data has recently been used to explore a problem that has been prevalent in the education domain for decades. Student retention is a complex ... -
A survey of algebraic algorithms in computerized tomography
(2010-08-01)X-ray computed tomography (CT) is a medical imaging framework. It takes measured projections of X-rays through two-dimensional cross-sections of an object from multiple angles and incorporates algorithms in building a ... -
Synthesis and characterization of nanostructured catalysts for photovoltaic applications
(2013-07-01)The objective of this project was to investigate the effect of the morphology of titanium dioxide (TiO2) nanoparticles on the electron transport properties and light harvesting potential in a dye sensitized solar cell ... -
Synthesis and characterization of purely sulphonated and composite membranes for high temperature fuel cells
(2010-04-01)Fuel cell technologies have developed high interest due to their ability to provide energy in an environmentally friendly method. Proton exchange membrane fuel cells (PEM-FCs) require a PEM for use, where the most accepted ... -
Synthesis and in vitro assessment of chemically modified siRNAs targeting BCL2 that contain 2'-ribose and triazole-linked backbone modifications
(2015-08-01)Short interfering RNAs (siRNAs) are biomolecules used for post-transcriptional gene regulation, and therefore hold promise as a future therapeutic by silencing gene expression of overexpressed deleterious genes. Chemically ... -
The synthesis and in vitro evaluation of chemically modified siRNAs that contain internal azobenzene derivative spacers for selective and tunable photocontrol of activity
(2017-08-01)Short interfering RNAs (siRNAs) are biopolymers that are used as post-transcriptional gene regulators and as a natural endogenous defense against attack from viruses. These molecules hold a great deal of interest as ... -
The synthesis and in vitro evaluation of short interfering RNA containing triazole functionalized sphingolipid-based derivatives
(2021-12-01)RNA Interference (RNAi) is a natural cellular process that silences the expression of a target gene in a sequence-specific manner by mediating targeted mRNA degradation. One of the main challenges in RNAi research is ... -
The synthesis and in vitro evaluation of short interfering RNAs that contain internal modified alkyl spacers
(2014-08-01)The ability to silence genes effectively at the pre-translational level through the use of short interfering ribonucleic acid (siRNA) has become a widely studied area since the discovery of the RNA interference pathway in ... -
Synthesis of internal amide bond short interfering RNAs (siRNAs) and investigation of their gene silencing properties
(2012-10-01)Cancer is a leading cause of death worldwide, accounting for around 13% of all death [1]. Traditional cancer therapeutics usually require careful selection of one or more intervention, such as surgery, radiotherapy, and ... -
Synthesizing play: exploring the use of artificial intelligence to evaluate game user experience
(2020-03-01)Digital games are a complex interactive medium providing a multitude of different experiences. The field of games user research (GUR) is dedicated to investigating and optimizing user experience in games. Such inquiries ... -
TCP congestion control using reinforcement learning
(2022-10-01)TCP, a transport layer protocol which ensures the reliable delivery of information on the network, is the basis of Internet connectivity, with 85% of the worlds Internet traffic being TCP based. TCP however, is slow to ... -
Temperature dependent structural, electronic and optical properties of the Si(100) surface from first principles
(2019-04-01)The results presented here were obtained using the local density approximation (LDA) to density functional theory (DFT), within the pseudo-potentials scheme. We present the results of the numerical simulations for the Si ... -
Templated N-doped carbon materials for energy storage and conversion: synthesis and characterization studies
(2020-08-01)Sustainable energy sources are necessary to decrease the environmental problems associated with fossil fuels. Modified mesoporous carbon materials have been studied with aims of improving the performance of energy conversion ... -
Topic models for image localization
(2013-08-01)We present a new scheme for partitioning geo-tagged reference image database in an effort to speed up query image localization while maintaining acceptable localization accuracy. Our method learns a topic model over the ... -
Total knee replacement serious game for surgical education and training
(2012-08-01)Traditionally, orthopaedic surgical training has primarily taken place in the operating room. Given the growing trend of decreasing resident work hours in North America and globally due to political mandate, training time ... -
Toward graph layout of large data visualization: algorithms, evaluations and application
(2016-01-01)Generating layouts for millions of points on a spatially-restricted platform is a difficult task with a unique set of constraints. These layouts are traditionally generated on a server out of sight of the user. User-oriented ... -
Towards a concurrent implementation of keyword search over relational databases.
(2014-06-01)Vast amounts of data are stored in relational databases. Traditionally, querying this data required a deep understanding of the underlying schema in addition to knowledge of a query language such as structured query language ... -
Towards deep learning models for automatic computer program grading
(2023-04-01)Automatic grading of computer programs has a great impact on both computer science education and the software industry as it saves human evaluators a tremendous amount of time required for assessing programs. However, to ...