Amélio souhaite développer un modèle prédictif novateur pour anticiper les intentions de départ des employés. Ce projet utilisera des techniques avancées en apprentissage automatique pour aider les entreprises à mieux comprendre les dynamiques internes et renforcer leur stratégie de rétention.

This project aims to develop a new method to design clock frequency multipliers. This game-changing technology can overcome the limitations of conventional clock frequency multipliers and can potentially introduce a new paradigm in high-speed circuit design. Such novel technology will position ESS Technology as the leading semiconductor company specializing in the design of future-generation high-speed […]

Employee absenteeism presents significant challenges for organizations, affecting productivity, team morale, and operational efficiency. Accurately predicting absenteeism enables businesses to proactively address its underlying causes, optimize workforce planning, and minimize disruptions. Advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL) provide robust methods for analyzing complex datasets to uncover patterns associated with […]

challenges such as long wait times and overcrowding. These delays impact patient health and strain healthcare resources. This project aims to address these challenges by enhancing SiMLQ, a cutting-edge software tool that uses data to simulate and optimize ED operations. Using real-world data from Erie Shores Healthcare Center as an example, the project will develop […]

This project will analyze five years of bumblebee data to determine the number of bee species is present in Unama’ki, the environmental factors that exist in their natural habitat and their flower preference and the timing of that preference. Through data analytics a data story can emerge that will form the necessary management practices needed […]

Le projet de recherche cherche à établir un cadre de référence quantifiable des propriétés géotechniques des remblais entreposés en carrière, notamment près des centres urbains de Montréal. Cette pratique connaît une forte croissance en raison de la densification urbaine, de l’intensification de l’extraction d’agrégats pour la construction et de la réhabilitation des sites. Les remblais […]

Additional research is required to fully understand the effects of a powerful antioxidant Curcumin on the short and long term impact of exercise. Previous studies have demonstrated other antioxidants can potentially slow recovery and reduce benefits of exercise. However, there is lacking information regarding the effects of Curcumin on cardiovascular health and exercise performance. The […]

We will be looking at the feasibility and acceptability of a healing program that incorporates Ketamine medicine sessions with First Nations healing practices. The intern will be helping give surveys to the participants. The partner organization will benefit by learning how they can improve the program, and the intern will benefit by gaining experience in […]

This research project aims to answer whether a parasport coach workshop can lead to positive changes in coaching behavior, increase coaches’ confidence, and improve the sport experiences of adult parasport athletes in Nova Scotia. With the support of Sport Nova Scotia and the Canadian Sport Institute Atlantic, the project will test a pilot workshop that, […]

The overall research aims at conducting studies that use high volume data and analytics in order to provide realtime process optimization and optimal control to processes that are to be controlled in preparation for the industrial environment. These investigations is the first stage or Phase 1 associated with creating the mechanism to have machines learn, […]

Le projet consiste à utiliser une source bio carbonée de charbon, issus de résidus de coupe de bois, afin de s’en servir comme substrat pour un système de traitement des eaux par marais filtrant. L’objectif du projet se décrit en deux volets. Le premier sera de tester les capacités hydrauliques de différents biochars, afin de […]

Design an efficient way to store and organize the large amounts of data required by our real time bidding application. Data such as campaign information, campaign assets (images, links, html) campaign targeting settings, and campaign optimization data could be arranged for fast access and processing inside the RTB application. Efficient storage and processing methods are […]