Diagnostics and Explainable Machine Learning Models

Despite the advances of Machine Learning, the models are still being considered black-boxes that are difficult to diagnose and explain. The model performance diagnostic measures are critical to the assessment of the model’s relevance, accuracy and robustness. Good models’ performance is the primary enabler of their successful deployment in real-life applications. However, even if the […]

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Synthèse d’encres actives pour des cellules photovoltaïques de nouvelle génération à base de pérovskites organométalliques.

Ce projet permettra à Pi-Sol Technologies, notre partenaire industriel, de développer des encres actives innovantes et performantes à faibles coûts pour des applications diverses incluant les énergies renouvelables. Les produits développés seront très compétitifs dans un marché nouveau et ouvert dont la valeur atteindra, dès 2020, des milliards de dollars. Le projet regroupe des partenaires […]

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Integrated Optimal CLT Building Design Considering Energy Performance and Structural Performance

This research proposed a method to conduct optimal CLT building design, which has minimum CLT usage and minimum operating energy consumption. This is a multidisciplinary research pushing the boundary of current definition of optimal design for each disciplinary to another level. With the developing of Building information modeling and automized simulation-optimization technology, the design of […]

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Étude sur la conciliation travail-famille et vie personnelle comme élémentde rétention des chercheurs étrangers établis au sein des territoiresrégionaux. Le cas du Bas-Saint Laurent, du Saguenay Lac St Jean et del’Abitibi Témiscamingue (UQAR, UQAC et UQAT)

Cette étude vise entre autres à mieux comprendre la gestion des dimensions temporelles (travail-famille-vie personnelle) qui conduisent à l’intégration et à la rétention des personnes immigrantes au sein des territoires régionaux du Bas-Saint Laurent/Saguenay Lac St Jean/Abitibi Témiscamingue. Elle a également pour but de favoriser des pistes d’actions desserrant le poids du travail pour favoriser […]

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Automatic matching of service offers to calls for tenders

The process for responding to tenders is very long, arduous and involves many repetitive tasks. Among these, it is necessary to read the invitation to tender in order to find the different requirements, important dates, legal obligations, constraints of presentation of the response, etc. All of these factors are used for the prequalification of a […]

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Effect of neuromuscular electrical stimulation using the StimaWELL 120MTRS system on multifidus muscle morphology and function in patients with chronic low back pain

Chronic low-back pain (CLBP) is a significant health issue in North America. CLBP patients demonstrate structural changes to and reduced function of the multifidus muscle, which is important to low-back health. Neuromuscular electrical stimulation (NMES) is a treatment used to improve pain and function in low-back pain patients, but is frequently painful. Our partner has […]

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Machine Learning for Modeling Soil-Tool Interactions

When construction equipment digs, this generates a complex set of physical interactions between the machine and the soil. Being able to accurately simulate such interactions in real-time opens the door to improved operator training and even adaptively-tuned digging operation that optimize the energy-efficiency of construction equipment. With recent advanced in artificial intelligence (AI), this is […]

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Testing and optimizing the performance of a digital micromirror device (DMD) for mid-wavelength infrared imaging

Mass fever screening, as the most effective way to control the spread of these pandemic diseases, is vital to reduce the impact of COVID-19 to Canada. However, existing methods for mass fever screening is largely inefficient due to limited sensitivity in temperature measurement, which is attributed to easy interference by ambient parameters, low resolution, and […]

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