Browsing by Discipline
Now showing items 21-40 of 84
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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 a generic academia mobile sport messaging system using the notion of design patterns
(2005)Designing reusable applications is vital area of research. Design patterns are an innovative notion that promotes reusability. This thesis attempts to develop generic and reusable Short Messaging Systems that can be used ... -
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 ... -
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 ... -
Enhancing machine vision using human cognition from EEG analysis
(2022)Visual classification is the perceptible/computational effort of arranging objects and visual contexts into distinct labels. Humans and machines have mastered this advanced problem in their own varied contexts. However, ... -
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 ... -
Exploring name-based bug detection in Python
(2024)Names of source code elements provide useful contextual information about the code and development tasks. Prior studies leverage the similarity between the names of arguments and method parameters to detect bugs that are ... -
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 ... -
Fairness, engagement, and discourse analysis in AI-driven social media and healthcare
(2023)This thesis addresses the critical concerns of fairness, accountability, transparency, and ethics (FATE) within the context of artificial intelligence (AI) systems applied to social media and healthcare domains. First, a ... -
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. ... -
Federated learning framework and energy disaggregation techniques for residential energy management
(2023)Residential energy use is a significant part of total power usage in developed countries. To reduce overall energy use and save funds, these countries need solutions that help them keep track of how different appliances ... -
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 ... -
Harnessing generative AI for overcoming labeled data challenges in social media NLP
(2023)With the introduction of Transformers and Large Language Models, the field of NLP has significantly evolved. Generative AI, a prominent transformer-based technology for crafting human-like content, has proven powerful ...