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Now showing items 11-20 of 28
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 ...
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 ...
Toward lightweight fusion of AI logic and EEG sensors to enable ultra edge-based EEG analytics on IoT devices
(2021)
Electroencephalogram (EEG) analysis has garnered attention in the research domain
due to its ability to detect various neural activities starting from brain seizures to a
person’s concentration level. To make it more ...
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 ...
Medical workflow design and planning using Node-Red data fusion
(2021)
The space of clinical planning requires a complex arrangement of information, often not
capable of being captured in a singular dataset. As a result, data fusion techniques can be
used to combine multiple data sources ...
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 ...
Using homophily to analyze and develop link prediction models with deep learning framework
(2021)
Twitter is a prominent social networking platform where users’ short messages or “tweets”
are often used for analysis. However, there has not been much attention paid to mining the
medical professions, such as detecting ...
Hybrid deep learning with stacked dilated causal convolutions for health forecasting using multivariate time-series data
(2022)
Health forecasting using time-series data facilitates preventive medicine and healthcare interventions by predicting future health events. This thesis introduces a novel
hybrid deep-learning architecture for health ...
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 ...
Surface estimation from multi-modal tactile data
(2021)
The increasing popularity of Robotic applications has seen use in healthcare, surgery,
and as an industrial tool. These robots are expected to be able to make physical
contact with the objects in the environment which ...