Bull Trout (Salvenlinus confluentus) is a large fish species in the Salmonidae family, that is undergoing dramatic declines. This study will focus on stream reaches with critical Bull Trout habitat features in the foothills in Alberta, Canada. The objectives of this study are to: 1) determine temporal trends in Bull Trout abundance, and 2) assess […]

Three in five persons with dementia will wander. This statistic however was derived from the USA, and it is unknown as to how this number was generated and what it specifically entails. The collection of Canadian-based data involving missing persons with dementia in Canada is limited. Secours.io’s initiative of collecting missing persons data generated from […]

Humic Land is a multi-purpose, 100% organic fertilizer that was produced from black peat using innovative technology that protects live soil microorganisms. It contains a microbial consortia that may produce plant-growth promoting substances, thereby acting as biological promotor of crops growing in stressful conditions. This research will evaluate three mechanisms that could explain Humic Land’s […]

Cyber security is fundamental to guarantee the reliable operation of the electric power systems. As the energy industry migrates to the digital space with information and communication technology (ICT), managing the electricity delivery is becoming complex and increasingly dependent on industrial control systems (ICS). The heavy reliance on ICT and the rapid penetration of ICS […]

The result of this project can be used by engineers to design a multivariable control system that will optimize the dosing of chemicals in seawater pretreatment. Besides, the plant operators and technicians will be able to perform ‘what if’ scenarios based on computer modeling results to ensure that the outlet water quality is not decreased. […]

The most successful computer vision approaches are based on deep learning architectures, which typically require a large amount of labeled data. This can be impractical or expensive to acquire. Therefore, few-shot learning techniques were proposed to learn new concepts with just one or few annotated examples. However, unsupervised methods such as generative adversarial networks (GANs) […]

The objective of the proposed research program is to develop a flexible and unified multivariate framework for modeling the returns of financial assets. The program is innovative since it establishes closed-form formulas for an efficient and reliable calculation of risk measures and derivative prices. For financial institutions and government regulators, who are performing pricing and […]

Most computer services nowadays are provided in cloud environments. Inevitably, every individual needs to use these environments when they have to use computer services. Considering cyber threats in the cloud infrastructure, security and privacy conservation of one is really challenging. Out of date techniques are no more executable in these infrastructures. However, machine learning algorithms […]

Localization is a technical to find the location of a target, such as a worker walking in a plant. For outdoor localization, satellite-based global positioning system (GPS) is commonly used. GPS does not provide good accuracy for indoor localization due to the complicated indoor environment that affects the GPS signal propagation. Currently, there are two […]

This project is a collaborative relationship between the Combustion Research Laboratory (CRL) at the University of Toronto and Birla Carbon. Birla Carbon is one of the largest manufacturers and suppliers of high quality carbon black additives globally. Carbon black has usage potential across an array of diverse application segments including rubber products, black pigment, UV […]

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]

Our research seeks to better understand challenges that translators encounter in translating stories for the diverse sites on the Global Storybooks portal (https://globalstorybooks.net/), and how they resolve these challenges. We will draw on our existing database of translation data to investigate how translators draw on a range of linguistic resources to achieve a satisfactory representation […]