In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

Utilisé en sécurité de l’information, le tableau de bord de gestion (TBG) est un outil visuel permettant de faire le suivi de la performance en affichant graphiquement un ensemble de métriques, représentant notamment l’état des risques et des incidents. L’objectif principal de cette recherche est de créer un modèle de représentation visuelle de métriques de […]

The proposed project aims to improve the prediction of mineral resources for better decision making throughout a mining project, that is, to decide whether to reject or to process extracted material using machine learning algorithms. This will help maximize profit for mining companies while minimizing environmental impact as the correct material will be processed more […]

NonDestructive Testing (NDT) is a key discipline in major industrial sectors to ensure quality and safety. Several methods are regularly employed in areas ranging from x-ray or ultrasound testing of metallic or composite components in the automotive and aerospace industries, to the inspection of petrochemical ducts using eddy currents or acoustical emissions. The present proposal […]

Locating and identifying multiple individuals in a scene are challenging tasks in real-time video surveillance applications. Although tracking allows to locate a person over time, automatically tracking multiple targets under real-world conditions is a challenging problem due to changes in appearance, occlusions and complex backgrounds. Target models are typically adapted for robust discriminative tracking, although […]

Many young adults are affected by tooth sensitivity stimulated by eating or drinking something hot, cold, sweet or acidic, which impacts their life quality. Tooth sensitivity can start when the softer, inner part of the tooth called dentin becomes exposed. The dentin contains a large number of parallel microtubules that run from the outside of […]

In this project, the goal is first to design a domain ontology that models the innovation management forms semantically. At this step, the ontology contains domain-specific background knowledge, which is expressed using terminological statements. Then every completed form and the value of its fields are asserted as instances of different concepts of the ontology. Afterwards, […]

Vitamin D compounds are being developed for the treatment of chronic kidney disease. The purpose of this proposal is to develop a cell-based screening platform that will allow the rapid assessment of relative efficacy of a library of compounds. The intern will use recombinant DNA methodology to generate a cell-based assay in which the green […]

The objective of this project is to elaborate an automated and scalable approach to assist security analyst in investigating and identifying underlying key cause (or causes) behind security or compliance failures of network services in NFV-based environment. Finding the root cause allows appropriate and achievable actions to be taken to recover or/and prevent the recurrence […]

This project will develop a smart parking solution, including both hardware sensors and the analytics platform, that provides real-time parking availability data, which can support decision makings, such as policy refinements, demand-responsive pricing, etc. Our project aims to optimize the rate of parking facilities’ utilization as well as improving drivers’ parking experience. In terms of […]

In Canada, motorists are faced with a wide range of environmental conditions. Weather, in the form of rain, snow, other frozen precipitation, fog or strong winds, occurs 10 to 20 percent of the time, depending on the location and year. This project, which involves a three-way partnership between State Farm Insurance, the Institute for Catastrophic […]

Hydraulic fracturing technique has become an essential requirement in exploiting tight and light oil reserves in Saskatchewan and Alberta. The recovery in tight oil fields in these provinces is low with rapid production decline in hydraulically fractured wells. Also, it should be noted that fracturing horizontal wells can consume millions of gallons of water; a […]