Browsing Electronic Theses and Dissertations from 2009 by Discipline "Computer Science"
Now showing items 1-20 of 35
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The analysis of Canada's health through social media using machine learning
(2019)Real-time online data processing is quickly becoming an essential tool in the analysis of social media for political trends, advertising, public health awareness programs and policy making. Traditionally, processes ... -
The artificial facilitator: guiding participants in developing causal maps using voice-activated personal assistant
(2019)When it comes to any problem, their causes, and solutions, people often have very different perspectives, primarily due to the environment in which they were raised (culture, education, socio-economic status, and so ... -
Artificial intelligence empowered virtual network function deployment and service function chaining for next-generation networks
(2021)The entire Internet of Things (IoT) ecosystem is directing towards a high volume of diverse applications. From smart healthcare to smart cities, every ubiquitous digital sector provisions automation for an immersive ... -
Congestion control enhancement over wireless networks
(2019)In this thesis, we analyze the performance of wireless LAN networks subject to random loss. In this regard, we use a congestion control technique that has been introduced in a previous study, titled TCP Congestion Control ... -
Data preparation & model development for text simplification
(2021)Text simplification (TS), defined narrowly, is the process of reducing the linguistic complexity of a text, while still retaining the original information and meaning. More broadly, text simplification encompasses other ... -
Data-driven traversability estimation for mobile robot navigation
(2021)Mobile robots have a promising application prospect as they can assist or replace humans to perform laborious, repetitive or dangerous tasks in various scenarios. There has been a large number of studies for mobile robot ... -
Deep learning based image super resolution
(2021)Image super resolution is one of the most significant computer vision researches aiming to reconstruct high resolution images with realistic details from low resolution images. In the past years, a number of traditional ... -
Design, development and usability evaluation of social system interface and development of computational model
(2021)In recent times, methods of computational intelligence (CI) that aim to solve real-life problems are developed by computer science researchers in collaboration with domain experts. There has also been an increased emphasis ... -
Developing a collaborative MOOC learning environment utilizing video sharing with discussion summarization as added-value
(2015-06-16)With the fast-growing Massive Open Online Courses (MOOC) community and the increase in the number of Learning Management Systems (LMSs) available online, the amount of shared information is massive. Current LMS - in ... -
Developing machine learning coding similarity indicators for C & C++ corpora
(2020)The digital data in this modern world is vulnerable to copying, altering and claiming someone else’s work as their own. Performing the same activity in programming assignments can be referred to as source-code theft or ... -
Development of a language model and opinion extraction for text analysis of online platforms
(2021)Language models are one of the fundamental components in a wide variety of natural language processing tasks. The proliferation of text data over the last two decades and the developments in the field of deep learning ... -
Development of simulation and machine learning solutions for social issues
(2020)When developing solutions for social issues, it can be difficult to evaluate the impact they may have without a real world implementation. This may not be possible for reasons such as resource, time, and monetary ... -
Elastic-based multi-scale graph drawing
(2012-11-10)Graph drawing is an important information visualization technique with applications in a variety of disciplines, including VLSI design, bioinformatics, geography, and social network analysis. We present a new force-directed, ... -
An enhanced passkey entry protocol for secure simple pairing in bluetooth
(2020)Bluetooth devices are being used very extensively in today's world. From simple wireless headsets to maintaining an entire home network, the Bluetooth technology is used everywhere. However, there are still vulnerabilities ... -
Exploiting semantic similarity models to automate transfer credit assessment in academic mobility
(2021)Student mobility or academic mobility involves students moving between institutions during their post-secondary education, and one of the challenging tasks in this process is to assess the transfer credits to be offered ... -
Extracting specific text from documents using machine learning algorithms
(2018)Increasing use of Portable Document Format (PDF) files has promoted research in analyzing the files' layout for text extraction purpose. For this reason, it is important to have a system in place to analyze these documents ... -
Feature learning boosts network performance
(2020)Features are an important part of machine learning. Features are often the reduced-dimensional representation of input data, feature calculation, extraction, and fusion directly affect the final result of the network. ... -
From social media to expert reports: automatically validating and extending complex conceptual models using machine learning approaches
(2019)Given the importance of developing accurate models of any complex system, the modeling process often seeks to be comprehensive by including experts and community members. While many qualitative modeling processes can ... -
Identifying variables affecting students' academic performance among engineering students
(2018)An essential consideration for campus administrators and faculty members is that students complete their degree with good academic grades. Being able to predict factors affecting students performance is necessary to help ... -
Lightweight deep learning for monocular depth estimation
(2021)Monocular depth estimation is a challenging but significant part of computer vision with many applications in other areas of study. This estimation method aims to provide a relative depth prediction for a single input ...
