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Automatic fall risk detection based on imbalanced data
(2021-08-01)
In recent years, the declining birthrate and ageing population have gradually brought countries into an ageing society. In regards to the accidents that occur amongst the elderly, falls are an important problem that quickly ...
Assessing the memorability of familiar vocabulary for system assigned passphrases
(2021-08-01)
Text-based secrets are still the most commonly used authentication mechanism in information systems. Initially introduced as more secure authentication keys that people could recall, passphrases are tokens consisting of ...
Effect of copper contamination at the cathode in Cu-Cl electrolyzers for hydrogen production
(2020-04-01)
In this work the effects of copper contamination on the coulombic and voltage efficiency of the hydrogen evolution reaction (HER) via the Cu-Cl thermochemical cycle are investigated. A novel proton pump configuration was ...
Identifying metabolic indicators of phytoplankton and comparing the temporal changes in algal community composition in two Lake Ontario areas of concern
(2021-12-01)
Freshwater algal blooms transition into harmful algal blooms (HABs) when cyanobacteria produce toxins that impact ecosystem health. The point at which algal blooms transition into HABs is not fully understood, but I believe ...
Peer evaluation with graph neural networks
(2021-12-01)
Peer assessment systems are rising in various social contexts, such as peer grading in large (online) classrooms, peer review in conferences, peer art evaluation, etc. However, peer assessments might not be as accurate as ...
Automatic knobs-tuning for DB2 using deep reinforcement learning
(2021-12-01)
Modern database management systems have hundreds of different configuration parameters (knobs) that control various aspects of how they behave and perform. These knobs must be properly tuned in order to maximize the ...
Multi-character prediction using attention
(2020-01-01)
We propose a computational attention approach to localize and classify characters in a sequence in a given image. Our approach combines spatial soft-attention with attention regularization and learns “where-to-look” to ...
A big data and online health analytics framework extended to integrate clinical and countermeasure decision support
(2022-03-01)
Computing frameworks that utilize big data analytics to support Clinical Decision Support Systems (CDSS) have proven to impact human lives in applications on Earth and in space. In the application of Space Medicine Decision ...
Multi-scale local explanation approach for image analysis using model-agnostic explainable artificial intelligence (XAI)
(2022-08-01)
The recent success of deep neural networks has generated a remarkable growth in Artificial Intelligence (AI) research, and it received much interest over the past few years. However, one of the main challenges for the broad ...
Single magnetic resonance image super-resolution using generative adversarial network
(2022-08-01)
Super-Resolution is the process of converting given low-resolution images into corresponding high-resolution ones. The resolution enhancement process applied to medical images can potentially improve diagnostic accuracy ...