Le but de ce projet est de développer des modèles précis du mouvement des membres supérieurs en utilisant des modèles précis de la biomécanique des membres supérieurs et des algorithmes de machine learning. Ces modèles seront utilisés afin de mettre en place des protocoles expérimentaux permettant de mieux comprendre la manière avec laquelle le système […]

The oral history interviews will preserve for posterity first-person perspectives of the careers and achievements of eminent Canadian engineers since the 1960s. Interviewees will be individuals who have made significant contribution to Canadian achievements in biological, civil, electrical, geotechnical, mechanical, and dam engineering fields. As much as possible, they will represent a broad diversity of […]

The aim of this study is to develop novel biolubricants based on complex esters for non-internal combustion engine applications, and the main task of this project include synthesis and characterization of complex esters derived biolubricants. vegetable oils cannot be used directly as lubricants due to some performance limitations such as thermal and oxidative stability. In […]

The facial recognition and identity solution industry was a USD 3.4 billion market in 2019 which is growing at a rate of 14.5%. Unsurprisingly, this untapped market is a target market for different technology firms but such lucrative markets also have some issues due to the ‘young’ nature of the sector. The main difficulty is […]

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non-Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. The […]

Securing autonomous vehicle environments has recently become a hot topic for both industry and academia due to the significant safety and monetary costs associated with security breaches of such environments. This requires different approaches to address the challenges and propose potential solutions at multiple levels of these environments. To that end, machine learning (ML) and […]

This project aims to examine — through “la Bibliothèque de la Pléiade”, the French publishing world’s most prestigious book collection made of Bible paper, leather cover, and gold — the relation between the choices made to publish some literary works and the formation of “literary giants”, considered authors that achieve the status of being called […]

Technologies that can speedily and efficiently analyze large amounts of data in real-time play a critical role in helping healthcare professionals and governments predict the impact and spread of a pandemic such as the Covid-19 virus over time. Our Syndrome Anomaly Detection System (SADS) is an innovative platform that uses artificial intelligence (AI) to capture […]

XLScout is a startup engaged in democratizing innovation and connecting research and development with intellectual property (IP) departments across the world. The company is developing proprietary algorithms, using Artificial Intelligence and Machine learning, to mimic the behaviour of an expert searcher. XLScout hosts a data vault of about 130+ million patent documents which occupies approximately […]

Research has illustrated the significant challenges that youth in care often face in meeting their education goals and in managing their mental health and well-being. Specifically, a subset of these transitional aged youth, often referenced as “NEET” (youth not in employment, education, or training) often face significant challenges to meeting their subsequent educational or occupational […]

The objective of this research is to create a data architecture and a state-of-the-art machine learning algorithms to build a robust user-profile system that (i) extracts, stores, builds, and analyses synchronously up to 1 million user profiles generating at least 50 behavioral data (alpha-numeric value of 64 bytes) per second, (ii) provides over 5 millions […]

Risk aggregation is omnipresent in insurance applications. A recent example, borrowed from the modern regulatory accords, is the determination of the aggregate economic capital and its consequent allocation to risk drivers. A more traditional illustration of the importance of risk aggregation in insurance is the celebrated collective risk theory that dates back to the early […]