The proposed research will report and deliver a critical review of the current and relevant studies on community annoyance and human health impacts due to noise related to airport and aircraft operations. It will also investigate, identify and analyse the relevant factors, other than the traditional noise metrics (eg., LDN, CNEL, Leq, etc.), associated with […]

Time Series is a sequence of records and observations ordered in time. For instance, feedback from a sensor with timestamps can be considered a time series set. Studying Time Series can help with the predicting and understanding of a system and its behaviour. It can also be used to control the mechanism. In the past, […]

Counterproductive Work Behaviours (CWB) refer to negative behaviours in the workplace that hinder organizational effectiveness. CWB ranges from violence and harassment to stealing and drug consumption on the job. Despite its importance and prevalence, little attention has been paid to leader CWB, as the focus has been mainly on employee CWB. Leader CWB, could be […]

Clinical logistics has more than 20 years of experience in providing clinical samples to some of the largest pharmaceutical companies for the clinical studies. These samples are mainly used in clinical studies for research and development of new drugs. Thus the quality and timely provision of sample is of utmost importance. Currently the operation of […]

Feldan Therapeutic developed the Feldan Shuttle platform, a breakthrough peptide-based delivery method that allows the introduction of foreign proteins inside cells. The Feldan Shuttle overcomes delivery obstacles in therapeutic context by providing a safe and highly efficient approach that is associated with low regulatory burden. The Shuttle platform can transfer active nucleases and transcription factors […]

The current project is designed to assess the level of damage that a realistic irregular bridge will undergo after the occurrence of an earthquake. This study encourages an improved understanding of post-seismic return to service and repair of an irregular bridge. A more sophisticated approach will be used to analyze the complex vibrations of the […]

La turbidité des lacs fait référence à la teneur de l’eau en matières en suspension (MES) qui la troublent. Elle peut être causée soit par des particules : organiques (matières animales ou végétales), ou inorganiques (limon, argiles ou composés chimiques). En 2010, Tata Steel Minirals Canada (TSMC) s’est établie dans la région de Schefferville pour […]

The aim of this project is to explore the automation of tree selection, which consist of selecting which trees to cut in a forest harvesting operation. When selecting a tree, one must consider multiple characteristic of the tree: its size, its position relative to other trees, its health and many other things. We begin this […]

This project aims to develop a tool for cities and municipalities to use to negotiate and evaluate how large real estate development projects coming into communities, especially vulnerable neighbourhoods, can provide benefits back to that community. The specific focus of these benefits is on providing work and training opportunities for local residents, as well as […]

Le monde agricole québécois est à la recherche d’alternatives écologiques aux produits phytosanitaires conventionnels dont l’utilisation massive provoque des effets négatifs sur l’environnement et la santé humaine. Dans cette optique-là, le projet Mitacs propose d’étudier le potentiel antifongique et herbicide de liquides produits par pyrolyse de biomasse lignocellulosique. La pyrolyse est un procédé qui décompose […]

Pain is among the top 3 most common reasons for seeking medical help. ManagingLife has developed a mobile-based app, called Manage My Pain, to help chronic-pain patients by providing a simplistic, customizable and comprehensive interface to track pain symptoms and pain experience at a frequency chosen by the users. ManagingLife is interested in understanding the […]

A safe video platform can provide a healthy and suitable environment for users in general and children in particular. This project aims to utilize machine learning and deep learning techniques to identify and flag sensitive and questionable content (e.g., content related to violence, sexuality, etc.). The algorithm will leverage video frames extracted from the database […]