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Modelling calcite dissolution in a rotating disc reaction vessel
(2021-06-01)
The carbonate system is ubiquitous in nature, playing a role in many natural and industrial processes. For calcite dissolution, the kinetics and mass transport of the dissolved species reflect both the chemistry of the ...
Determining the effects of harmful algae blooms and their toxins on fish from both environment and laboratory-based studies through the use of proteomics
(2021-01-01)
The effects of harmful algae blooms (HABs) on wild, freshwater, large-bodied fish have been under examined. Blood samples were collected from fish in Hamilton Harbor and Lake Erie to assess the effects of HABs on a molecular ...
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 ...
Evolutionary multi-objective design of autoencoder for compact representation of histopathology images
(2021-08-01)
Deep learning can cope with complex tasks; however, it suffers from the crucial problem of high dimensionality which makes it intractable to learn the patterns and classify the data. Importantly, having a fixed model cannot ...
Echo: reconstructing gameplay sessions for analysis
(2021-04-01)
We created Echo, a tool designed to help bridge the gap between game analytics and video footage analysis. Echo reconstructs gameplay sessions from recorded data and presents them with their original graphics. A comparative ...
Group representation learning for group recommendation
(2021-01-01)
Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Existing group recommendation methods mostly learn group members' individual ...
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 ...
SegmentPerturb: effective black-box hidden voice attack on commercial ASR systems via selective deletion
(2021-08-01)
Voice control systems continue becoming more pervasive as they are deployed in mobile phones, smart home devices, automobiles, etc. Commonly, voice control systems have high privileges on the device, such as making a call ...
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 ...