Search
Now showing items 21-30 of 46
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 ...
Simulating a virtual drilling task using audio, visual, and mouse movement cues during the COVID-19 pandemic
(2021-04-01)
This work examined whether a real-world drilling task can be successfully simulated using combinations of appropriate audio, visual cues, and basic haptic stimuli obtained with mouse movements instead of a haptic device. ...
Enhanced knowledge distillation by auxiliary classifiers
(2021-08-01)
Deep neural models have shown promising results in various areas, e.g., computer vision and natural language processing, at the cost of high computation and storage resource consumption. These characteristics of deep neural ...
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 ...
On deep learning in physics
(2021-04-01)
Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...
Investigating the distribution of Nitellopsis obtusa in Ontario Lakes and its role as an ecosystem engineer
(2021-08-01)
Nitellopsis obtusa is a non-native macrophyte introduced into the Laurentian Great Lakes in 1974. Over the last decade, increasing reports emerged for N. obtusa within lakes in the Great Lakes Basin. Despite N. obtusa being ...
A deep learning approach to focal cortical dysplasia segmentation in children with medically intractable epilepsy
(2021-08-01)
Paediatric epilepsy is one of the most common neurological disorders and has major impact on the cognition and quality of life of children. Focal Cortical Dysplasia (FCD) is one of the most common causes of medically ...
Immunomodulatory activity of Lacticaseibacillus rhamnosus R0011: analysis of secretome-mediated impacts on innate immune outcomes in intestinal epithelial cells and antigen presenting cells
(2021-12-01)
Certain lactic acid bacteria (LAB), such as Lacticaseibacillus rhamnosus R0011, are associated with immune modulatory activities including down-regulation of pro-inflammatory gene transcription and expression. While host ...
Development and characterization of chemical modifications for siRNA strand selection
(2021-12-01)
Small interfering RNA (siRNA) are non-coding, double-stranded RNA that enable efficient gene silencing through RNA interference (RNAi) mechanisms. The primary effector of RNAi is an RNA-guided nuclease, Ago2, which selects ...