The power system transfers power from electricity producers to consumers in real time. The demand, generation, and system characteristics dictate how power flows across different transmission lines. Sometimes, the power flow can exceed the capacity of the transmission lines. This would be especially true if a new generator connects at a location within insufficient transmission […]

The candidate will be working with Modellicity to participating in the development and bringing-to-market of the company’s proprietary end-to-end AI model building platform that will enable users to quickly build, validate, and deploy AI models.

The grain sector is a key driver of Canada’s economic growth, with more than 20 million tons of wheat exports and over $20 billion in export sales annually. Many activities required for wheat production rely on laborious manual observation, such as post-harvest assessment of wheat kernels and wheat head detection. These manual, subjective tasks can […]

Animal experiments have made significant contributions to medical advances. However, there is increasing awareness in the scientific community that animal studies are not always carried out with utmost efficiency. When study design is suboptimal and/or errors are made, there is a risk that incorrect conclusions are drawn, and that time, money, and animal lives are […]

Traumatic brain injury (TBI) is a leading cause of death and disability. One area of injury prevention research is to use geographic information systems to identify at-risk neighbourhoods for targeted intervention. However, few studies have been conducted to investigate the geographical distribution of TBI in Canada. The proposed project is based on the linked trauma […]

The advantages of digital data (signal functions) processing have made this technique a standard for processing real world analog data in many areas of life, from music industry to seismology. Stored digitally, the data also become less sensitive to physical limitations than their analog counterparts. Other advantages include straightforward low frequency filtering procedures (e.g. as […]

Representing the collective consensus of global prescriptions of value, financial markets represent a sophisticated and complex system of academic and practitioner study. Quantitative and systematic investment strategies seek to understand characteristics of the market, and design investment strategies to profit off of those market features. A persistent and well-known market feature, known as trend, represents […]

Swallow events classification is significant to improve the performance of swallow detection in digital health technologies. Our work consists of two major contributions: First, we perform data preprocessing techniques and transform the raw sEMG signals into feature vectors before using them to train an ML classifier. It is important for developing a data exploration project […]

The project will consist on visiting the Gravitation and Cosmology research group of the university of Sheffield in order to start a collaboration in a specific area of mathematical aspects of gravitation. The research in this area will: provide insights on quantum theories of gravity, in particular Group Field Theory; help to develop general mathematical […]

Le projet porte sur une application en ligne (QuickCount) dédiée au traitement d’image agricole de drone par l’intelligence artificielle (IA). L’équipe de Drone des Champs a développé des modèles IA permettant différents types de traitement (indice de végétation, détection d’objet) sous forme de code Python. L’entreprise souhaite améliorer les modèles IA, et plus particulièrement la […]

Tastet est une plateforme de recommandations de bonnes adresses ainsi qu’un média spécialisé. Nous faisons rayonner la culture gastronomique du Québec et la soutenons tous les jours. Aucun restaurant, café ou bar ne paie pour apparaître sur notre site, par souci d’intégrité et de transparence. Nous devons donc optimiser nos processus afin de pouvoir nous […]

Scope of work: Develop and implement data science models to identify construction projects relevant to our clients, before they go up for bid. Apply machine learning algorithms to public and proprietary datasets to recommend contract opportunities at as early stage as possible in the building process. Develop and implement logic to be applied to this […]