Low Dose Computed Tomography Denoising Using Deep Learning

CT (Computed Tomography) scans are widely used medical images used to diagnose disease such as cancer. CT Scanners pass x-rays through the body in order to generate cross-sectional images. Unfortunately pro-longed exposure to radiation (via x-rays) can damage the body, and thus one aims to minimize the x-ray dose they receive. However, modern CT scanners […]

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Quantitative Security Metrics in 5G Environment

The advent of 5G (fifth generation) telecommunication networks also brings new security challenges, in addition to many benefits to the community. Such is exemplified by its special nature of technology (as well as the new business model) and its deep involvement in people’s everyday life, hence more critical. We need proper security metrics to tell […]

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Anion Exchange Membranes for use in Industrial Electrolysis Systems for Salt-Splitting

Salt splitting is a technology in which an electrochemical cell containing 2 membranes to transport positive and negative ions, is used to produce sulfuric acid and caustic soda from sodium sulfate, a compound found commonly from industrial brine streams. Salt splitting electrolysis is a sustainable solution for the expanding markets of acid and caustic recovery […]

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Advancing methods and understanding: Status and drivers of mammal populations in Alberta

Biodiversity loss is a major concern worldwide. Alberta’s has abundant natural resources; however, developing these natural resources can impact species, including mammal species and those valued by the public. Understanding the impacts of disturbance on populations of mammals is necessary in order to inform environmental management. This project will harness existing data through the Alberta […]

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Development of a commercial protocol to differentiate human pluripotent stem cells into skeletal muscle progenitor cells (hPSC-SMPCs) with transplantation potential

Recent scientific breakthroughs have led to the development of methods to differentiate human PSCs (hPSCs) into skeletal muscle cells. This has allowed, for the first time, the development of cellular models to study muscle diseases such as Duchenne Muscular Dystrophy and the possibility to utilize these cells for cell therapy applications. However, the reliability, efficiency […]

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Generation of correlation hypotheses between Adverse Events (AEs) and NamedEntity Recognition (NER) of drugs in social media and scientific journals usinga machine learning approach

Pharmacovigilance (PV) has evolved and grown more complex over the past 5 to 10 years due to increasing data volumes, evolving regulations, influence of emerging markets and the emerging social media and innovative technological advances. Fast detection of Adverse Drug Reactions (ADRs) could allow the pharmaceutical industry to anticipate and then to control more efficiently […]

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An Integrated Multi-Case Study Approach to Advancing Business-to-Business (B2B) Online Marketing Strategies In an Expanded Multi-sector Study with 15 Companies

Business-to-business (B2B) marketing is considerably different from the business-to-consumer (B2C) marketing. Marketing strategies do not necessarily translate from one segment to another. This is evident in the social media/online marketing arena where many of the strategies and tools have been developed primarily for B2C marketing which results in many B2B companies dismissing social media/online marketing […]

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Development of Optical Fiber Sensing Devices for Strain Measurementin Rotational Components

Rotational components (e.g., shafts) are key parts of machinery equipment in automotive, aerospace, energy production, etc industries. These components are continuously monitored for structural sensing and failure diagnostics by attaching sensing devices on them. This project aims to implement optical fiber sensors for strain sensing in rotational components. The available technologies for strain measurement in […]

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Exploring applications of Machine Learning and Quantum Computing in optimization, finance, and the healthcare industry

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

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Visual Inspection UAV in Harsh Environments and Confined Spaces

Preforming regular visual inspections is essential in up keeping structures. These inspections are used to identify defects at an early stage before they pose a major threat. Unfortunately, these inspections require scaffolding or hiring a boom to access certain areas. Other areas are tight and put the worker at risk. The use of visual inspection […]

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Comprehensive Study of Tri-generation System based on ClimatwWellTechnology for Canadian Residential Homes

A feasibility study will be conducted for a proposed tri-generation (generation of heat, electricity and cooling) using a Stirling engine and a ClimateWell heat activated chiller. The Stirling engine will provide simultaneous heat and electricity from burning natural gas. The heat from the engine will be transferred to either space heating, domestic hot water heating, […]

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