DETONATION : Prédiction et l’optimisation des sources acoustiques à l’aide de l’apprentissage profond

Traditionnellement, la nuisance sonore a toujours été une problématique au coeur de l’aviation moderne avec l’avènement du turboréacteur. De plus, l’apparition de nouvelles technologies comme les drones ou les taxis volants urbains avec des hélices multiples ne fait qu’accentuer la part prépondérante du bruit généré par les machines tournantes dans les moyens de transport aériens. […]

Read More
A Synthesis of Current Workplace Equity and Diversity Practices

Over the past 10 years, industry has drawn on different principles to support the creation of more inclusive and diverse workplaces. These principles include Equity, Diversity and Inclusion; Gender Based Analysis; decolonization; and safe spaces. In this research project, we will read what experts have written about these topics to find out what is most […]

Read More
Mill Manufacturing Process Anomaly Detection

The objective is to develop models that can identify types and frequency of process inefficiencies that may eventually result in the decline of production at the mills below a certain threshold level. The outcome of this project is an early detection of process inefficiencies that will enable the operation team to predict production outcomes ahead […]

Read More
Targeted Online Marketing Based on Machine Learning

Online marketing is a popular type of advertising, which utilizes the Internet to deliver advertising information to consumers in the digital era. Despite the advantages of online marketing, there is still much room for efficiency improvement. The major problem with existing online marketing is that there tend to be a mismatch between what are delivered […]

Read More
Unmanned Aerial Vehicles operating Beyond the Visual Line Of Sight in Urban Settings over 5G Networks: Market analysis and Applications

The goal of the broader Alliance submission is to develop a technology platform to test and benchmark best practices, policy recommendations, and regulations for the safe and reliable operation of automated UAVs during ground-based BVLOS (Beyond the visual line of sight) missions in urban areas, using 5G networks, a first in Canada. The Mitacs internships […]

Read More
Developing urban asset agents (institutional buildings, commercial buildings, transformers) and user-aggregator Unified Modelling Language within a transactive energy framework

This project provides key elements that would help create a transactive energy framework testbed. The testbed is expected to be used for analyzing different market and business models which facilitate increased participation of the end-users, improved efficiency in the grid and optimal usage and distribution of the energy present in the urban neighbourhoods. The work […]

Read More
Personal and Organization Assessment Innovation Adoption

Individual, team and organizational assessments continue to deliver value to performance improvement by providing objective insights into challenges and opportunities faced by people, teams and organizations. On Purpose Leadership has throughout its history provided services and tools to clients in this regard. With the emergence of new technological innovations, client comfort with these tools and […]

Read More
EarlyDetect: a cloud based mental health screening tool

Mental illness is the leading cause of disability in the world. Diagnosing mental health syndromes have proved challenging for clinicians. This has led to delay in diagnosis or misdiagnosis. Furthermore, the majority of individuals who have mental disorders have more than one condition (co-morbid), which are essential to screen and diagnosis early to achieve symptom […]

Read More
Post-traitement statistique des quantiles extrêmes de prévisions issues de modèles météorologiques d’ensemble

Le projet de recherche s’inscrit dans le contexte précis du besoin d’Hydro-Québec de mieux estimer la probabilité de manifestation de vents de forces dites extrêmes et potentiellement dommageables pour le réseau d’infrastructures électriques. Il aura pour objectif de développer des modèles statistiques permettant de corriger les biais dans les prévisions de vents afin de mieux […]

Read More