Bulk storage of energy is a relatively new concept in many power systems. Among various energy storage media, batteries have shown great promise as a suitable option for use in power systems. Integrating a battery energy storage system in a power grid is not a trivial task and requires extensive studies to ensure that the […]

This research project aims at creating a robust, efficient and reliable conversational agent for the banking domain that will offer a high level of performance in both key areas of conversational agent architecture: Natural Language Understanding and Response Generation. Natural language understanding approaches, retrieval-based models, as well as deep learning will be used to develop […]

L’amélioration est processus (quelle que soit leur nature) est un souci constant des entreprises dans un domaine compétitif comme c’est le cas du domaine bancaire et financier. En 2018, cette amélioration est indissociable de l’intégration de l’analytique d’affaire. En exploitant à l’aide des méthodes appropriées les données de l’entreprise, des gains substantiels sont à escompter. […]

Wireworm (click beetle) has becoming a devastating pest for the potato industry in Prince Edward Island (PEI) and many places in the country and around the world. It is a soil born insect that can penetrate a large number of potato tubers, degrading their quality for processing. The problem is more difficult to control after […]

Applications of wireless security approaches are increasing in number by the day. One such application is detection and interception of rogue aerial intruders. Drone technology is growing at a tremendous pace and is expected to be a $12 billion industry by 2021. Coupled with this growth comes the increasing threat of rogue intruders disrupting day-to-day […]

The main objective of this research project is to investigate, develop and evaluate state-of-the-art image processing and machine learning algorithms, which are suitable for accurate modeling and recognition from large-scale medical image datasets that are weakly labeled. In particular, we will focus on the learning of recognition models in medical image computing applications that are […]

Based on the original Statistical Inventory Reconciliation(SIR) Test Method (Quantitative), K-folds cross validation is used to increase P(D) and decrease P(FA) by adjusting K, which are related to bias and standard deviation. There is a trade-off between bias and variance, with very flexible models (overfit) having low bias and high variance, and relatively rigid models(underfit) […]

Lithium batteries are almost universally integrated in modern electronics applications due to their high efficiency and scalability. However, the liquid lithium-ion electrolyte utilized in these batteries has a multitude of safety concerns including flammability, toxicity, and the ability to explode if short-circuited. These issues lead to problems while operating in hazardous environments, more stringent transportation […]

Microarray testing allows high-volume analysis. This work will compare open-source software to in-house analysis methods within SQI Diagnostics. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support SQI’s technology leadership position. After implementing a print run […]

Epilepsy affects an estimated 50 million people worldwide. These people can experience unexpected seizures that make it dangerous for them to engage in everyday activities like driving and walking. A portable wireless neuro-monitoring headset prototype that is worn on the head has been developed by Avertus Inc. to address this issue. The headset is designed […]

The firm CO2 Solutions Inc (CSI) from Québec has developed an enzyme-accelerated CO2 capture technology which may be appended to a variety of gas scrubbing equipments. Simultaneously, our Université Laval research group has been working on membrane gas phase separations using polymeric hollow fibers and mixed matrix membranes. The objective of the present Engage proposal […]

In Canada, lung cancer is the leading cause of cancer-related deaths for both sexes. Non-small-cell lung cancer (NSCLC) constitutes ~85% of lung cancer cases. Mutations in the KRAS and EGFR genes are two most common oncogenic drivers for NSCLC and responsible for ~30% and ~15% of NSCLCs, respectively. Unlike the EGFR-mutant type, KRAS-mutant NSCLC is […]