Image denoising is a fundamental process in most of computer vision systems, imaging systems, and photography productions. Recently, with the power of deep neural networks, image denoising has been pushed towards new boundaries. However, neural network image denoisers are constrained by the accuracy of the noise model used to train them. Training on a poor […]

Private pension plan sponsors wishing to manage their longevity risk transfer it to insurers through annuity contracts or bespoke longevity swap arrangements. They increasingly rely on such contracts to reduce their risk exposure. For example, annuity purchase activity from Canadian private pension plans expanded from $1 billion in 2012 to almost $2.7 billion in 2016 […]

Model-free Reinforcement Learning (RL) has recently demonstrated its great potential in solving difficult intelligent tasks. However, developing a successful RL model requires an extensive model tuning and tremendous training samples. Theoretical analysis of these RL methods, more specifically policy optimization methods, only stay in a simple setting where the learning happens in the policy space. […]

Tout au long de l’histoire de l’humanité le progrès scientifique et technique a été un moteur de notre évolution comme espèce. Ce progrès pousse l’humain constamment à reconsidérer ses propres limites tant du point de vue physique que cognitif. Bien que les conséquences des actions erronées des humains soient connues depuis l’antiquité, industrie 4.0 mène […]

Le but de cette étude est de réaliser une presse à vis pour compacter une suspension de chaulage. L’étude sera divisée en plusieurs étapes : la caractérisation de la boue, la simulation de la presse à vis, l’assemblage de la vis, le paramétrage de la vis et son opération. La phase de simulation permettra le […]

Cancer cells are nearly impossible to distinguish from normal tissue without sophisticated detection methods and conventional methods fail to provide real-time information during the surgical procedure. ODS Medical is developing an exclusive Raman spectroscopy system that collects data through an optical probe and is interfaced with sophisticated machine learning algorithm to identify tissues abnormalities in […]

Computer vision has become part of our daily life with applications in surveillance cameras, medical imaging, self-driving cars, and so on. Recently, deep convolutional neural networks (CNNs) have shown substantial progress in many vision applications such as image recognition and object detection. Utilizing CNNs from 2012 have reduced the error of image recognition dramatically which […]

Nickel based alloys manufactured via powder metallurgy (PM) are the next generation of materials that offer great service performance and increased efficiency of gas turbine engines. This class of material is characterized by their poor machinability. Additionally, limited information is known about the integrity of machined surfaces; thus limiting its acceptance by the industry. This […]

L’optimisation combinatoire occupe une place prépondérante dans notre société actuelle. Que ce soit la logistique, le transport ou la gestion financière, tous ses domaines se retrouvent confrontés à des problèmes pour lesquels on recherche la meilleure solution. Cependant, un grand nombre de problèmes très complexes reste encore hors de portée des méthodes d’optimisation actuelles. C’est […]

Musculoskeletal models are an interesting avenue for human movement analysis since they allows us to noninvasively estimate muscles forces and internal joint loads. Consequently, they are becoming also more important in the clinical practice. So far our musculoskeletal shoulder model can perform only simple movements like abduction and flexion. However, it is in the great […]

Le projet de recherche qui sera entrepris en France vient dans le cadre d’un projet de thèse qui met en question l’effet de la manifestation des gradients de contrainte sur les propriétés électromécaniques et photoniques des couches minces de titanate de strontium (SrTiO3) synthétisés par la méthode de pulvérisation cathodique. Un des principaux objectifs de […]

Electrostatic charging can occur when any kind of solid particles, from grains in silos to powders in chemical plants, undergo a lot of collisions through movement or mixing. Particle charging can create some serious challenges – highly charged particles can stick to surfaces and hinder industrial processes, and in some cases can create sparks that […]