Real-Estate Valuation with Heterogeneous Geospatial Information

The proposed project investigates the extraction of geo-location information from online map services to augment the available attributes of real-estate properties, thereby enhancing model valuation of property sales price. Specifically, five distinct and concurrent objectives are proposed, each undertaken by a separate intern, to explore the feasibility of utilizing different data types retrieved from online […]

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Network security and machine learning development projects – part 2

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

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Attribute-Driven Automatic Generation of Realistic Face Textures

When creating a video game, every digital character must be created by professional artists. Their work is very labor intensive because the number of created characters are in the thousands, each of which has multiple visual components that must be created for each one. “Scanning” real actors to create a digital version of themselves can […]

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Development of an artificial intelligence solution for facial and object recognition

With this project, Nuvoola will propose a whole new process of detection, identification and monitoring of people in its entirety from embedded algorithms within an “EDGE” computer system, with a view to performance, and reliability and precision. The innovation lies in the ability of the application to perform a face and body combination while taking […]

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User Interface with analytics for Mini-substation monitoring

The project entails the creation of a web based application that will monitor sensors on substations. The application will graph data from the sensors with warning thresholds. It will notify specific users via text and email when thresholds have been met. The app will also store sensor data and look for trends using machine learning. […]

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Remote Life Signs and Self-Harming Behaviors Monitoring System

Suicide is one of the most important causes of deaths in the prison environment, both in Canada and internationally. Rates of attempts of suicide and self-harm have been on the rise in recent years. To address this problem, there is a real and immediate need for an automated, private, and effective monitoring system that can […]

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Preventing school dropout through community worker interventions modeling

The project is part of a desire to address the school dropout issue, particularly in multi-ethnic and disadvantaged communities. Despite the implementation of several universal interventions in Quebec, the drop-out rate remains high in numerous areas. In the Eastern Townships area, a partnership between the Sherbrooke Regional School Board and the Université de Sherbrooke in […]

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Evaluation of Clustering Methods on Game Play Data

The goal of the project is to evaluate several clustering algorithms on players’ styles data in the context of Video Lottery Terminals (VLTs). The previous work has shown that by segmenting anonymous player data by sessions, and then clustering the sessions using the simple k-means algorithm, we can get a descriptive statistic on player styles, […]

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Data-Driven and Anthropometric Local Editing of Facial Polygon Meshes

Editing the faces of 3D avatars is a difficult and important task. We will develop an approach that enables users to perform local edits of faces through means of adjusting the values of anthropometric measurements. Such measurements are derived from well-established research about the shape and proportion of faces. Based on a data set of […]

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Efficient Detection and Mutli-Target Tracking of Persons in Real-Time Video Surveillance

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 […]

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Classifying Innovation Management Forms Using Ontology Reasoning

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, […]

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