Anessa offers software solutions for different stages in the lifecycle of a biogas plant. Solutions include feasibility analysis, feedstock planning and optimization, and monitoring. This proposal focuses on improvements and advances in the areas of optimization and monitoring. As a biogas digester uses living bacteria to transform waste materials into gas and fertilizer, creating and […]

This research project focuses on improving wireless communication systems by studying and optimizing new technologies called Reconfigurable Intelligent Surfaces (RIS). These surfaces can control how wireless signals travel, helping expand coverage and improve connection quality in urban and rural areas. A special type of RIS, known as STAR-RIS (Simultaneously Transmitting and Reflecting), allows signals to […]

Cette recherche explore l’intégration des espaces physique et virtuel en production cinématographique. L’espace physique regroupe acteurs, décors, éclairages et caméras, tandis que l’espace virtuel crée des environnements numériques immersifs. Pour un rendu visuel réaliste, les mouvements de la caméra physique doivent être précisément suivis et reproduits dans l’espace virtuel. Actuellement, ce suivi repose sur des […]

FONEX Data System Inc. is developing solutions to address the challenges that telecommunication service providers face in upgrading their access networks to sustain the growth in data traffic. A key component of these solutions is the development of a low-cost, widely tunable external cavity laser (ECL) utilizing Photonic Integrated Circuit (PIC) technology. A significant advantage […]

La prévision de la charge, ou de la demande électrique, est une activité fondamentale pour les utilités électriques et en particulier pour Hydro-Québec. Dans un contexte opérationnel, elle vise à prévoir sur un horizon de temps relativement court, typiquement 24 ou 48 heures la quantité d’électricité qui sera consommée par un ensemble de clients donnés. […]

Our project aims to tackle the persistent issue of bank check fraud by using advanced deep learning technologies. By developing a system that can automatically detect fraudulent alterations in check images, we seek to enhance the security and reliability of financial transactions. This project is a collaboration with Verafin Inc., a leading provider of fraud […]

The proposed research project aims to tackle the issue of bank cheque fraud. The project will use advanced object detection AI models to accurately extract and segment bank cheques into their component fields, a crucial step in detecting fraudulent activity. These AI models will be trained to recognize specific parts of a cheque, such as […]