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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 ...
Palatable game development: lessons learned from Foodbot Factory, accessibility, and audio games
(2023-04-01)
To address a lack of serious game work focusing on the development itself, this thesis describes recommendations for developers based on the development of Foodbot Factory, a nutrition-based serious game. Additionally, to ...
Java lock contention antipatterns and their detection within Java code
(2023-04-01)
Java Based Multithreaded programs are used in a wide variety of applications and consequently many developers are required to create code designed for synchronized environments. However, finding problems in synchronized ...
Effects of per-and polyfluoroalkyl substances (PFAS) on the freshwater gastropod (Planorbella pilsbryi) in the laboratory and in situ integrating a multi-omic approach
(2023-09-01)
Per- and polyfluoroalkyl substances (PFAS) are anthropogenic chemicals that are globally used in consumer and industrial applications. Specifically, perfluorooctane sulfonate (PFOS) has been under scrutiny due to its ...
Preliminary design of a social asymmetric virtual reality upper-limb exergame for individuals with dementia utilizing insights from caregivers
(2023-10-01)
This thesis investigates the usability, task load, cooperative performance, and social presence effects of an asymmetric VR game for upper limb activity in the context of elderly care from the perspective of caregivers. ...
Integrated traffic analysis and visualization for future road events
(2023-04-01)
The existing traffic simulation methods are limited to specific synthetic scenarios. In addition, the natural structure of traffic and accident data requires modeling the dependent observations on multiple levels. Therefore, ...
Optimizing relational search with embedded neural network
(2023-04-01)
Our research focuses on a novel method to query relational data. We propose the partial tuple search problem where a user can utilize keyword search to explore complex relational datasets. The challenge of evaluation of ...
An investigation into the use of ConvNext within IICS/IIDS framework for person Re-ID
(2023-05-01)
In this thesis, we explore the integration of ConvNeXt, a CNN-based network inspired by vision transformers, into the Intra and Inter Camera Similarity (IICS) and Intra and Inter Domain Similarity (IIDS) frameworks for ...
Discovery of trend dependencies over time-series
(2023-11-01)
We improve constraint-based data quality using trend dependency (TD) discovery, extending existing order dependencies (ODs) to allow variations and exceptions. Unlike ODs, TDs capture approximate functional mappings between ...
An optimization-based approach to image fusion using structural similarity
(2023-05-01)
This thesis examines a framework for solving optimization problems involving structural similarity index measure Mean. Image fusion involves combining multiple images to preserve their most desirable characteristics. The ...