Architectural and Design Modelling for Blockchain-Intensive Systems

Blockchain technologies are increasingly becoming integral parts of information systems in domains that exhibit an increased need for resilience and can make no assumption of trust between parties. However, properly adopting blockchain in an information system design remains difficult, unsystematic and requires thorough understanding of the technology. In this project we explore ways by which […]

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Identifiability of latent factors through multiple self-supervision

Human perception has developed the ability to decompose scenes into fine grained elements. This lays the foundation for strong generalization to new situations where the base concepts can be recomposed to interpret objects never seen before. While it has been shown that, in the general case, proper decomposition is not possible, new paradigms provide provable […]

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Automatic Annotation of Vertebral Heart Score and Tibial Plateau Angle in X-ray Images

The proposed work combines artificial intelligence and diagnostic medicine. Using X-ray images, radiologists and veterinarians can perform an array of measurements to assess patient health. In a veterinary setting, standard measurements and annotations are performed on X-ray images to assess heart and knee health in canines, namely vertebral heart score (VHS) and tibial plateau angle […]

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Systeme de marketing electronique pour telephones intelligents

Avec ce projet, la compagnie The Money Tree Online Services Inc. propose des solutions innovantes dans Ie domaine des e-coupons. Un e-coupon ou coupon mobile est un coupon numerique envoye a un appareil mobile tel qu’un telephone sans fil etlou intelligent ou un assistant numerique personnel (PDA, Personal Digital Assistant). Essentiellement la compagnie vise la […]

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Single-view 3D tracking and trajectory classification of road users at intersections

The goal of the project is to research and develop computer vision algorithms, software, and specialized hardware for the analysis of mixed traffic at intersections. Road users will be detected and classified as motor vehicles, pedestrians and bicycles. Road users will be geo-located within a 3D model of the intersection, tracked and classified according to […]

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FiX – Flash-in-XNA (Xbox New Architecture)

V7 is seeking to advance its innovative rapid prototyping tool FiX (Flash-in-XNA) – a core piece of its game engine toolkit for Xbox360, PC, and Windows 7 Phone platforms. The tool allows designers and artists to build assets in Flash/Actionscript and bring them into an XNA platform.

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Quantum Resistant High Speed Blockchain Project

Secure, open, distributed computing platforms are able to provide trustable peer-to-peer transactions without the need for trusted intermediaries. However, as quantum-computers gain power and capability, the cryptographic systems they are built on are threatened. This project will provide the system described here with quantumresistant cryptographic protocols to ensure both system security and user privacy, and […]

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Développement d’un robot autonome pour le sarclage automatique du bleuet sauvage

Avec les progrès prodigieux des dernières années en matière d’agriculture de précision, ce projet apporte une solution originale à la problématique de la détection automatique des mauvaises herbes ainsi que leur éradication dans les bleuetières de bleuets nains (sauvages). Le principal objectif de ce projet consiste à développer un système robotisé autonome capable d’effectuer la […]

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Driver motion prediction using behaviour classifications of vehicles

A significant portion of decision making, path planning and navigation algorithms for Autonomous Vehicles (AV) rely heavily on accurate estimation of the current location as well as future trajectories of the surrounding road users. There are different kinds of drivers in urban environments, and an expert human driver will identify dangerous drivers and avoid them […]

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Low Dose Computed Tomography Imaging: Measuring effects of denoising algorithms by means of objective and subjective measurements, and algorithms parameters optimization

In Computed Tomography (CT), X-ray radiation is used to penetrate through the internal structure of the patient body in order to produce digital images. This means patients could be exposed to certain level of X-ray radiation dose. Accumulation of these exposures beyond certain threshold could increase risk offatal cancer. Thus it is of paramount importance […]

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Improving Conditional Text Generation Algorithms

The aim of this project is to survey and develop methods for improving text generation algorithms. Natural Language Generation (NLG) is a subfield of Deep Learning that studies how to enable computers to write coherent texts. Current methods lack the capacity to adapt the content they generate, producing articles that are not always coherent nor […]

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