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Multi-character prediction using attention
(2020-01-01)
We propose a computational attention approach to localize and classify characters in a sequence in a given image. Our approach combines spatial soft-attention with attention regularization and learns “where-to-look” to ...
Impact of potato protein supplementation with dietary fermentable materials on immune measures in Sprague-Dawley rats
(2020-09-01)
Bacteria may influence the immune system by fermenting dietary fermentable materials (DFM) that resist digestion and reach the colon intact. This study investigated how resistant protein supplementation could affect the ...
Material properties and mechanical behaviour of large-scale additively manufactured multi-layered steels
(2020-03-01)
Metal Big Area Additive Manufacturing is an additive manufacturing technique based on gas metal arc welding. The systems’ dual nozzle design prints two steels simultaneously; in this study, the test samples are made from ...
The World Trade Web: using network analysis and machine learning as tools for public policy decision-making
(2020-11-01)
The World Trade Web (WTW) contains a wealth of information that upon rigorous analysis can aid governments in public policy decision-making. In my attempt to provide this valuable input, this dissertation uses two main ...
Kill switch design pattern for microservice architectures on internet of things devices
(2020-12-01)
Containers and virtual machines are being adopted to develop embedded Linux Internet-of-Things applications. Consumer Internet-of-Things devices have been notoriously insecure due to loss of continued software support. To ...
Automatic fault localization in concurrent programs using noising and search strategies
(2020-05-01)
Multithreaded programs can have considerable performance benefits over sequential programs. However, these advantages often come at a cost with respect to program understandability as well as testing and debugging challenges. ...
An in-depth analysis of guesser behavior
(2020-11-01)
We propose a methodology to perform an in-depth analysis on different password guessers and their guessing abilities. We devise new metrics and statistics that directly compare the types of passwords each guesser generates, ...
Deep learning approach to discontinuity-preserving image registration
(2020-05-01)
Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ...
Comparative analysis of deep learning and graph cut algorithms for cell image segmentation
(2020-08-01)
Image segmentation is a commonly used technique in digital image processing with many applications in the area of computer vision and medical image analysis. The goal of image segmentation is to partition an image into ...
Characterization of a carbon source-dependent, phytohormone-responsive, free methionine-(R)-sulfoxide reductase from Komagataeibacter hansenii
(2020-05-01)
Komagataeibacter hansenii ATCC 23769 is a gram negative, non-pathogenic, acetic acid bacterium, best known for its ability to produce bacterial cellulose (BC). BC, an extracellular polysaccharide, is an important component ...