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 […]

Automatic mixing is a field of music technology research looking to automate sound engineering processes. The project will look to expand the field, using machine learning techniques to analyze the relationship of the subjective sound engineering techniques of audio engineers. From this, a unique and quantifiable data set will be we gathered in order to […]

SportsPrevention.com estimates the risk levels of preventable injuries associated with training program, training response, recovery and health status by continuously more than 20 evidence-based overtraining and injury markers and risk factors. Each marker is statistically analyzed on an individual basis and results are presented in a simple and meaningful way, along with actionable ‘how to […]

Multi-physics considerations are important for many engineering applications. For example, we may want to know at what rate heat is transferred between two different systems or how a fluid and solid interact with each other for applications such as turbo-machinery, parachutes, or blood flow through an artery. Engineers often rely on numerical methods to solve […]

examine the feasibility of an innovative solution that combines Federated Learning with Deep Reinforcement Learning (DRL) to optimize the selection of edge nodes for model aggregation. Through the proposed DRL-based client selection method, the system can actively select nodes that have shown superior performance based on their training quality, computational resources, and network conditions. This […]

Procurement Intern: Norsat International Inc. aims to improve its procurement operations by streamlining supplier relationships, managing inventory more effectively, and ensuring that product deliveries align with the company’s operational goals. The challenge is to enhance the efficiency of supplier communication and ensure timely product deliveries to meet production needs without delay. This requires gathering detailed […]

This project aims to develop advanced, self-managing networks that reduce the need for manual intervention by allowing network administrators to set high-level goals, called “intents,” rather than dealing with complex configurations. By automating network management tasks and ensuring that these intents are consistently met, the project will help the partner organization operate more efficiently, reduce […]

Cloud computing is one of the pillars of the modern computing infrastructure mainly because it allows the procurement of computing services on a pay-as-you-go basis. However, despite the many benefits offered by cloud computing, it has several significant drawbacks such as data lock-in, lack of universal geographic proximity, risk of service outages, and variable cost […]

The proposed research focuses on improving wildfire evacuation planning by creating a real-time, AI-driven route optimization system. Using advanced geospatial tools like ArcGIS, the project will analyze GPS, traffic, weather, and wildfire data to identify safe, efficient evacuation routes. It will also incorporate evacuee behavior, such as common stops at essential services, to ensure routes […]

Développement d?une solution IA pour accélérer la réponse aux demandes de support technique et faciliter l?accès à la documentation technique. Le stage se concentrera sur le développement d?un chatbot, qui utilisera des données structurées pour fournir des recommandations en temps réel. L’efficacité du chatbot sera évaluée par un taux de satisfaction des utilisateurs de 80%. […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW