Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Quantum Training of Neural Networks

We are witnessing an explosion in the use of machine learning (ML) algorithms with significant impacts on the world’s economic and social activities. The backbone of a machine learning algorithm is a deep neural network which is composed of hundreds to thousands of neurons. To make the neural networks (NNs) functional, they need to be trained using a training dataset. It is known that the training of the networks is computationally intensive and may take several weeks or even months to complete. In this research project, we aim to develop a quantum program to train classical neural networks. The core of a training algorithm is matrix multiplication which is a linear operation and can be implemented in a quantum computer. This research project opens up new avenues for further research in the area of quantum computing and enables deployment of more accurate ML algorithms for real world applications.

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Superviseur du corps professoral :

Ehsan Atoofian

Étudiant :

Partenaire :

CMC Microsystems

Discipline :

Engineering

Secteur :

Artificial Intelligence; Technology; Information and Communications Technology; Quantum Science

Université :

Lakehead University

Programme :

Accelerate

The effects of internal dialyzer hemodynamics on the development of microvascular dysfunction during hemodialysis in healthy and chronic renal failure rats

Patients with end-stage renal failure (ESRF) require hemodialysis (HD) to clear their blood from metabolic waste products. While generally considered mildly invasive, research shows that HD can induce severe side effects, often affecting microvascular blood flow in tissue.
We successfully developed a small animal model that allows us to successfully dialyze laboratory rats (approx. 250 grams) while simultaneously performing an intravital microscopic observation of the microcirculation. It will enable us to investigate how microvascular tissue perfusion is affected by HD directly. Moreover, since the microdialyzers are designed and produced in-house, the dialyzer’s design and functional aspects can be easily modified. As such, we can easily change the dialyzer setup, evaluate different membrane materials, modify the HD procedure, or evaluate the effect of any pharmacological treatment strategy.

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Superviseur du corps professoral :

Barry GH Janssen;Christopher W McIntyre;Christopher W McIntyre

Étudiant :

Partenaire :

Baxter

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Lawson Health Research Institute

Programme :

Accelerate

Innovations in Municipal Bylaw Adjudication

This research will look at existing and possible innovations that would make municipal bylaw enforcement and adjudication in Saskatchewan more accessible, effective and efficient and would reduce the involvement of the formal court system. This may build on the example of regional co-operation offered by the Municipal Bylaw Court in Kindersley, and it may include ways to adjudicate bylaw prosecutions outside of the court system. Any proposed solutions will be suitable for the Saskatchewan context, and any necessary changes to Saskatchewan legislation will be specifically identified.

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Superviseur du corps professoral :

Felix Hoehn

Étudiant :

Partenaire :

Municipalities of Saskatchewan

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

University of Saskatchewan

Programme :

Accelerate

L’incubation au sein d’une structure coopérative : quels leviers et obstacles au développement de l’agriculture urbaine au Québec ?

L’agriculture urbaine est une expertise québécoise qui tend à se développer fortement ces dernières années, à travers le développement de nombreuses structures commerciales. La Centrale Agricole est l’une d’entre elles : c’est une structure coopérative d’incubation d’entreprises agricoles urbaines. À travers les services et les biens qu’elle offre à ses membres, ainsi que les conseils et soutiens à la recherche, la Centrale Agricole a pour objectif de participer au développement de cette industrie à Montréal. Toutefois, il pourrait être potentiellement intéressant de répliquer ce modèle coopératif d’incubation aux autres régions du Québec. C’est l’objectif de ce projet de recherche : évaluer le fonctionnement de cette structure coopérative pour identifier les leviers et les obstacles à sa transférabilité.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Chadoin

Étudiant :

Partenaire :

Laboratoire sur l'agriculture urbaine

Discipline :

Sociology

Secteur :

Agriculture; Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

Accelerate

Fully Automated End to End Analysis of Non-small-cell Lung Carcinoma using Deep Learning Techniques.

Deep learning in medical imaging analysis has revolutionized the field in areas such as computer-aided detection and segmentation of clinical abnormalities. Several studies have been published on lung cancer screening using deep learning methodologies. Specific to lung cancer screening, algorithms have been trained to automatically detect and diagnose lesions in the lungs in low dose computed tomography (CT) by leveraging longitudinal imaging in combination with biopsy results. Perez et.al [3] proposed a three-dimensional (3D) CNN model to detect lung nodules and predict lung cancer using CT images. The lung is extracted from the entire volume in each patient and the extracted data is used to train the model. To increase the precision, both 2D and 3D convolutions were used. They were able to achieve best results using 3D convolutions suggesting there is information between slices that is relevant for lung cancer analysis.

Voir la description complète du projet
Superviseur du corps professoral :

Eranga Ukwatta

Étudiant :

Partenaire :

Altis Labs Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

YWCA Regina BSI Project

The overall objective of this project is to diversify the YWCA’s revenue stream in a strategic way that provides both sustainability and alignment with the organization’s values. Pursuing this project will raise questions such as; can the YWCA’s rental spaces compete with current rental space trends? What value will the project add to the downtown Regina community? And what level of upkeep can the YWCA staff expect from taking on this project. The student intern will be required to assess rental space needs, research current rental space norms or expectations, determine ways the YWCA will be able to differentiate themselves, and create a strategic plan that will lead to the actual implementation of the project.

Voir la description complète du projet
Superviseur du corps professoral :

Jacqui Gagnon

Étudiant :

Partenaire :

YWCA Regina

Discipline :

Business

Secteur :

Other services (except public administration)

Université :

University of Regina

Programme :

Business Strategy Internship

Placeholder Canada Inc. – Operations Analyst 2

Operations Analysts help run our business by interacting with customers to understand their needs, make space recommendations, create and review space listings, source new channels of supply and demand for our marketplace, and prepare strategic analysis on various topics.

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Superviseur du corps professoral :

Martin Halek

Étudiant :

Partenaire :

PlaceHolder Inc

Discipline :

Business

Secteur :

Other

Université :

University of Calgary

Programme :

Business Strategy Internship

Tastet – Optimisation des processus

Activité principale développement commercial et amélioration du processus client
– Participer à l’optimisation des processus de vente et de gestion des partenariats;
– Aider à la réalisation des objectifs commerciaux des partenaires de Tastet;
– Élaborer des processus pour améliorer la gestion des partenariats et la réalisation des objectifs commerciaux
des partenaires de Tastet;
– Soutenir l’équipe de gestion des partenariats;
– Effectuer des analyses des campagnes des partenaires;
– Participer à l’élaboration et la réalisation de projets commerciaux (tours gourmands, cours gourmands, etc.)
– Soumettre des recommandations pour l’amélioration des campagnes des partenaires et les mettre en place;

Voir la description complète du projet
Superviseur du corps professoral :

Sylvain Perron

Étudiant :

Partenaire :

Tastet

Discipline :

Business

Secteur :

Information and cultural industries

Université :

HEC Montréal

Programme :

Business Strategy Internship

Two machine learning problems related to fitness and relaxation – RES0054116

Project is intended to optimize health and wellness by analyzing the relationships between various forms of feedback while monitoring key indicators such as eye movement, or in other cases specified diet regimes.

Voir la description complète du projet
Superviseur du corps professoral :

Eleni Stroulia

Étudiant :

Partenaire :

Stream.ML

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Business Strategy Internship

Advancing an Intelligent Transportation Data Platform and Environmental Sensing to Promote Sustainable Cities

Transportation services, ranging from public buses to private logistic fleets, could benefit significantly from the introduction of Roger’s 5G wireless networks. This project has a primary objective to support UBC’s efforts to achieve its 2050 GHG emission reduction goals with emphasis on reduction of GHG and air pollutant emissions from transportation services.

Voir la description complète du projet
Superviseur du corps professoral :

Naomi Zimmerman;Mahmudur Fatmi;Anas Chaaban;Carson Woo

Étudiant :

Partenaire :

Rogers Communications Inc.

Discipline :

Engineering

Secteur :

Information and cultural industries

Université :

The University of British Columbia; The University of British Columbia - Okanagan

Programme :

Accelerate

Implementation and evaluation of a surface estimation algorithm to modify the control of ADAS features

Road departure is a critical factor in vehicle accidents, which could happen as a result of a driver’s impairment or lack of attention, or the road surface condition due to inclement weather. Therefore, it has been a high priority for the automotive industry to improve advanced systems for stability and path control. GM novel approach aims to use a control method to maintain a vehicle in the intended path during automated braking, while the deceleration and collision prevention is optimized. The proposed research will generate a simulation platform to verify the performance of such a control system for different road surface conditions and driving scenarios. The insight from this study helps to improve the safety of motor vehicles and all road users. The partnership of the academic researchers and GM engineers will facilitate knowledge transfer between academia and industry and assure smooth and rapid commercialization of the intellectual property.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Agelin-Chaab

Étudiant :

Partenaire :

General Motors of Canada

Discipline :

Engineering

Secteur :

Management of companies and enterprises; Manufacturing

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

Challenges of integrating machine learning in rock engineering design

There is an increasing interest in applications of machine learning to solve mining and geotechnical problems; this is made easier thanks to user-friendly and open source machine learning codes and improved computational power. The benefit of incorporating machine learning in rock engineering design are apparent, including the reduction in the time required to sort and characterize field data and the capability to find mathematical correlations between complex sets of input data. However, there are challenges to be investigated, including the use of qualitative data. This project investigates the readiness of the technical community to integrate machine learning in rock engineering design at this time. To fully realize the potential and benefits of machine learning tools, the technical community must be willing to accept a paradigm shift in the data collection process and, if required, abandon or improve on empirical systems that are considered ‘industry standards’ by virtue of being commonly accepted despite acknowledging their limitations.

Voir la description complète du projet
Superviseur du corps professoral :

Davide Elmo

Étudiant :

Partenaire :

Golder (Vancouver, BC)

Discipline :

Engineering

Secteur :

Mining; Natural Resources; Environmental Science and Technology

Université :

The University of British Columbia

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.