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Investigation of KimiaNet's and DenseNet's deep features in lung cancer subtypes
(2020-12-01)
Deep neural networks (DNN) have extended applications in the _eld of digital pathology. One of which is to act as feature extractors for content-based image retrieval (CBIR) systems. Therefore, it is necessary to investigate ...
Unified processing of natural language and relational data
(2022-09-01)
This work outlines a method for performing natural language tasks as part of a relational framework. Utilizing features of PostgreSQL as a relational database and its extensibility to allow for word embedding without leaving ...
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 ...
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 ...
A heart rate and skin response module for adaptive difficulty in virtual reality
(2022-09-01)
Virtual Reality (VR) is becoming an ubiquitous technology currently being in many areas as it offers simulated realistic environments suitable for training. Despite the advances in VR technology, one-size-fits solutions ...
A nonlinear and nonlocal model for animal aggregation
(2022-09-01)
An aggregation model is a kind of model used to show the dynamics of the distribution of the population of organisms. Mathematically, we can use a partial differential equation to model the density of an organism at different ...
Discrete optimization of upgrade scheduling
(2022-08-01)
A primary objective of the mission to meet climate change goals of reducing greenhouse gas (GHG) emissions is to transition from fossil fuels to zero-emission energy. Fossil fuel production and transportation account for ...
Anodic alcohol fuel cell reactions at platinum active sites on doped metal oxide supports
(2022-12-01)
Fuel cells produce electrical energy via chemical reactions, which take place on the carbon supported platinum catalyst (Pt/C). As attractive as these devices may seem, their practicality is often limited by the functionality ...
A modular approach to image matting
(2022-11-01)
Image matting is the art of creating an accurate alpha matte for the purpose of foreground separation in an image or video. Although there have been many methods which only require an input image, the best-performing image ...