Browsing by Discipline
Now showing items 1-20 of 70
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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 ... -
Adding time-series data to enhance performance of naural language processing tasks
(2023)In the past few decades, with the explosion of information, a large number of computer scientists have devoted themselves to analyzing collected data and applying these findings to many disciplines. Natural language ... -
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 ... -
Argument summarization: enhancing summary generation and evaluation metrics
(2024)In the current era of mass digital information, the need for effective argument summarization has become paramount. This thesis explores the domain of argument summarization, focusing on the development of techniques and ... -
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 ... -
Boosting feature extraction performance on the aspect of representation learning efficiency
(2022)Machine learning is famous for its automatic data handling. While there is a slow growth in the performance of the state-of-the-art models in the most recent well-known learning frameworks, the number of parameters and ... -
A comparison and analysis of explainable clinical decision making using white box and black box models
(2024)Explainability is a crucial element of machine learning-based making in high stake scenarios such as risk assessment in criminal justice [80], climate modeling [79], disaster response [82], education [81] and critical ... -
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 ... -
A data warehouse-oriented methodology for qualitative semi-structured web information and social networking sites' user status search
(2019)Finding most desired and useful information from the diverse information and content embedded on webpages has become more challenging due to the rapid growth of websites and webpages, dynamic changes and updates of ... -
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 ... -
Efficient path planning and battery management for electric vehicles
(2023)The rapid advancement in battery technology has brought electric vehicles (EVs) into reality, and the increasing adoption of autonomous electric vehicles (AEVs) has presented significant challenges. Existing research in ... -
Efficient routing algorithms in vehicular ad hoc networks
(2021)During the last decade, the research on Intelligent Transportation System (ITS) has improved exponentially in real-life scenarios to provide optimized transport network performance. It is a matter of importance that the ...
