Browsing by Discipline
Now showing items 1-20 of 43
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3D GPU-based image reconstruction algorithm for the application in a clinical organ-targeted PET camera
(2022)Functional medical imaging is unique in its ability to visualize molecular interactions and pathways in the body. Organ-targeted Positron Emission Tomography (PET) is a functional imaging technique that has emerged to ... -
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 ... -
Detecting Crohn’s disease from high resolution endoscopy videos: the thick data approach
(2023)Detecting diseases in high resolution endoscopy videos can be done in several ways depending on the methodology for detection. One such method that has been a hot topic in the field of medical technology research is the ... -
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 ... -
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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 ... -
Exploration of contrastive learning strategies toward more robust stance detection systems
(2023)Stance Detection, in general, is the task of identifying the author’s position on controversial topics. In Natural Language Processing, Stance Detection extracts the author’s attitude from the text written toward an issue ... -
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 ...
