Adaptive Slicing for Intelligent Network Automation

The forthcoming 5G networks will be much more complex than their predecessors. They are on the verge of a generational transformation driven by the coverage, connectivity, availability, speed and latency demands of 5G. 5G networks will use network slicing to open up the network “as a service” to various third parties and their diversified applications, […]

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Gated and RGB Fusion for Robust Perception

Robust perception in all weather conditions is a critical requirement for autonomous vehicles. This project proposes fusing gated and conventional RGB camera images for robust scenes encoding, depth estimation and trajectory prediction. Conventional approaches using lidar and RGB camera fail to perform robustly in rain, fog and snow. By extending existing computer vision algorithms to […]

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Constrained Batch Estimation for Train Positioning with Inertial Sensors

Similar to current efforts in the automotive industry, there is a substantial interest in developing fully autonomous trains. One of the key steps towards enabling autonomous operation is being able to accurately estimate train position and speed. In addition to this, better estimates will also increase safety and reduce distance between trains, allowing more frequent […]

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Balancing organic nutrient solution for hydroponics using specific ion monitoring.

Cannafish is a Startup working with hydroponic farmers to include manure and compost in their fertilisation plan. Doing so, they reduce the use of chemical fertilizer in hydroponics while valorizing organic residual matter. However, to replace chemical with organic fertilizers requires good practice and precision to achieve competitive yield. Hence, using a specific ion monitoring […]

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Investigation of Low-Ductility Geogrid Reinforcement for Ground-supported Concrete Structures

Steel rebars are the dominant reinforcement elements in reinforced concrete structures due to their relatively adequate manufacturing, material property and established construction codes. In an ideal environment and under nominal loading, conventional concrete reinforcement is expected to govern the design strength based on which they are designed. However, under environmental loading conditions, such as very […]

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Erosion studies of southern Ontario tills and St. Lawrence Valley marine clays and assessment of an extreme precipitation prediction approach

Quaternary glacial deposition has covered much of southern Ontario with tills and the Saint Lawrence Valley with marine fines. Rivers incised into these materials exhibit particular geomorphologic behavior. Civil engineering works built either in (e.g. dams, bridge piers, etc.), beside (linear infrastructure such as roads, railways, etc.) or across (e.g. bridges, etc.) such rivers must […]

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Microalgae for the production of plant specialized metabolites of interest – Industrial PDF Fellowship Revision

Algae-C is a company specialized in algal biomass production. It enables on-site production of algae for a wide variety of sectors (aquaculture, nutraceutical, cosmetic and biofuel). To date, many fuels, pharmaceuticals and cosmetic products are extracted from plants. These valuable plant natural products (PNPs) are often produced in low quantities in plants and extraction methods […]

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Detection and Prediction of Network Vulnerabilities with Machine Learning Models and Algorithms

The project investigates the development of artificial intelligence models and algorithms to analyze telecommunication networks, looking for signs that indicate the presence, or imminent arrival, of faults and outages on the network. The project will use as its main input data (network topology and network health metrics) collected by EXFO in real-time and accumulated over […]

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Improving the Reliability of AI Systems from a Software Engineering Perspective

Artificial Intelligence techniques have been widely applied to solve real-world challenges, from autonomous driving cars, to detecting diseases. With the popularity of 5G wireless network, more and more AI systems are being developed to provide convenient services to everyone. It is important to ensure the reliability and quality of AI systems from every phase in […]

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New therapeutics against T-cell acute lymphoblastic leukemia

A protein named c-Myc is causally implicated in over 50% of all human cancers. Preliminary work supports two proteins (POZ domain protein and c-Myc cofactor Miz-1) as a new drug target to disable c-Myc function. We have identified small molecules which act on this target and will now serve develop a series of optimized and […]

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Fostering Indigenous Small-scale fisheries for Health, Economy and food Security in Cree communities of northern Quebec (FISHES)

Northern fisheries are facing major changes and reducing the negative impacts is crucial for communities tied to the fisheries for their food security and culture. The identification of regions important for subsistence, commercial and recreational harvesting and whether they comprise genetically distinct groups of populations is a key requirement for adaptive co?management of harvest. Our […]

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