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Parsing genetic models
(2022-01-01)
Applications of computer vision have seen great success recently, yet there are few approaches dealing with visual illustrations. We propose a collection of computer vision applications for parsing genetic models. Genetic ...
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 ...
Investigation into potential Dirofilaria immitis drug targets through rational anthelmintic synthesis and design
(2022-04-01)
Dirofilaria immitis is a mosquito-transmitted parasitic nematode that can cause debilitating disease in dogs. D. immitis is present in Canada and over the years has increased in prevalence due to several factors including ...
Novel electrode materials and advanced electrochemical diagnostics for electrochromic devices
(2022-04-01)
Electrochromic materials (ECMs) are a class of “smart” materials used in a variety of applications due to the ability to alter their optical properties with the application of a potential. For these applications, ECMs are ...
Proportional-integral control in the evaluation of glucose homeostasis and Type 2 Diabetes
(University of Ontario Institute of Technology, 2022-06-01)
Mathematical modelling of blood sugar dynamics has been explored since the early 1960s. For most of these models, measurements of hormones such as insulin and glucagon are required to find parameter values that yield ...
Towards a computational model of information trust
(2022-02-01)
Information has been an essential element in the development of collaborative and cooperative frameworks. From decision making to the attainment of different goals, people have been relatively adept at making judgments ...
Opportunities for the deep neural network method of solving partial differential equations in the computational study of biomolecules driven through periodic geometries
(2022-08-01)
As deep learning emerged in the 2010s to become a groundbreaking technology in machine vision and natural language processing, it also ushered in many new algorithms for use in scientific research. Among these is the neural ...
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 ...
Magic Pen: automatic pen-mode switching for document annotation
(2022-08-01)
Traditional digital pen interfaces use menu buttons to change pen modes, resulting in time and cognitive load spent on round-trips and potential errors from tapping small mode selection buttons. This thesis presents Magic ...