This project focuses on improving the performance of the real-time video streaming over Wi-Fi networks, in which losing packets is a serious concern. State-of-the-art methods try to improve the robustness of AL-FEC mechanisms by providing unequal protection to the packets. But such approaches are complex and increase even more the delays. In contrast, the proposed […]

State-of-the-art forecasting: Demand planning is a critical part of a business’ operations. Traditional approaches to forecasting use statistical methods to predict future demand from past transactions, but do not take into account contextual data. However, there are good reasons to believe that contextual data – such as weather, events, product descriptions, sentiment analysis (from reviews, […]

1-Currently, cows can be “locomotion scored”. These scores include a category for ‘imperfect locomotion’ or ‘uneven gait’ to define a cow that is unsound (favoring one leg) but not clinically lame. However, this detection method does not discriminate whether locomotion originate from the foot or the leg. Claw lesions are easily diagnosed in a trimming […]

The project aims to equip Hydro-Québec’s current and future fleet of inspection robots with autonomous inspection capabilities. The three main objectives of the project are: 1. Leverage breakthroughs in artificial intelligence to enable robotic vehicles to realize real-time automated visual inspection of the company’s infrastructure. 2. Facilitate and accelerate deep neural network (DNNs) machine learning […]

This project seeks to explore the use of a class of artificial intelligence algorithms called reinforcement learning for the purpose of aiding the training of new pilots. In the process, we seek to “teach” an algorithm how to fly an aircraft by exposing the AI pilot to a virtual environment and providing it with flight […]

The research project is focused on the relationship between cancer and telomeres. It is intended to be a functional investigation of the dynamics of TERRA, a long non coding RNA transcribed at telomeres, and hTR, the telomerase RNA subunit, in human cancer cells. TERRA is an important molecule implicated in telomere maintenance and genome stability. […]

Ce projet de recherche, en cours, est mis en place en concertation avec les principaux acteurs de la filière laitière québécoise principalement les producteurs bovins, le ministère de l’agriculture, les chercheurs de la faculté de médecine vétérinaire et l’association des médecins vétérinaires praticiens du Québec. Le but de ce travail est d’améliorer les connaissances sur […]

Le transport adapté des personnes ayant des besoins particuliers est une activité qui demande des outils et méthodes de planification différents du transport collectif régulier. Dans ce projet, nous proposons trois éléments : 1) des modèles de prévision de la demande de transport adapté à court et moyen terme, 2) un outil de planification permettant […]

The National Engineering Research Center for E-learning in Central China Normal University is a pioneer research center in the field of education, and we have theories and tools of education and education informatization assessment in the field of learning and education. One main objective for our group is to effectively design students’ assessment criteria of […]

The majority of license producers (LP) Cannabis producers have witnessed evidence of powdery mildew and grey mold and bud rot diseases. Plant yields and ultimate profitability can be severely undermined by these diseases. Medicinal plants produce essential oils in the form of secondary metabolites. The essential oils have the potential to be used as antibacterial, […]

In natural selection, differential fitness relies on the chromosomal shuffling during meiosis that enables the production of haploid gametes that are genetically different. However, meiotic-induced genetic variability can be an economic burden to the animal breeding industry since offspring often do not inherit the most desirable genes from their parents. Although genomic markers are currently […]

The proposed research will enable customers to see personalized recommendations based on multiple factors such as their order history, their preferences and contextual information such as the meteo and the day of the week. The main expected benefit is to increase the average bill by showing personalized recommendation