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Extending the relational model with constraint satisfaction
(2021-01-01)
We propose a new approach to data driven constraint programming. By extending the relational model to handle constraints and variables as first class citizens, we are able to express first order logic SAT problems using ...
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 ...
Monolayer terpyridyl metal complexes for high-efficiency electrochromic materials
(2021-08-01)
Electrochromic materials (ECMs) can change their color with changes of applied electrochemical potential. Currently, the use of ECMs in the industry is limited to mainly inorganic metal oxides, conjugated conducting polymers, ...
A mixed-method approach to analyze the robustness of natural language processing classifiers
(2021-04-01)
Natural language processing algorithms (NLP) have become an essential approach for processing large amounts of textual information with applications such as spam, phishing and content moderation. Malicious actors can craft ...
The synthesis and in vivo evaluation of chemically modified siRNAs that contain red-shifted internal azobenzene derivative spacers for selective and tunable photocontrol of activity without UV light
(2021-08-01)
Short interfering RNAs (siRNAs) are biopolymers that are used for post-transcriptional gene regulation and act as endogenous defenses against attack from viruses and dsRNA parasites. The siRNA field is making advances for ...
Computational methods for medical image registration
(2021-04-01)
A significant amount of research has been dedicated to the improvement of techniques in the field of medical image analysis. Imaging modalities have been improved and new acquisition methods have been introduced to reveal ...
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 ...