TreeGraSP

Avec le développement en parallèle de technologies de traitement automatique des langues de plus en plus performantes, de théories linguistiques de plus en plus précises et de banque de données de plus en plus riches, il est maintenant plus facile de comparer les langues et d’identifier leurs points communs et leurs divergences. Un défi pour […]

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Process parameter optimization for metal additive manufacturing: experimentation

Metal additive manufacturing is a promising manufacturing technique that has attracted attentions in the recent years due to the ability to manufacture complex parts. During the process, metal goes through complex thermal treatment, which causes defects such as porosity and lack of fusion in the final part. Understanding the relationship between process parameters and parts’ […]

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Indoor Object Detection for Blind People

Since 2003, Humanware develops a GPS-based dedicated device that helps blind people to orient themselves and guides them to their destination. In this project, we want to enhance the user experience by providing a better understanding of the environment and interacting with the device in a more natural way. This project specifically addresses how the […]

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Offloading Data Fusion to Programmable Data Planes

Big data refers to a class of applications that operate on large amounts of data. One paradigm that fits the big data applications category is the Internet of Things (IoT). Millions of IoT devices continuously produce data and exchange information to support critical applications in different scenarios, such as smart cities and smart homes. As […]

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Optimization models and algorithms for multi-period cutting stock Problems

Many manufacturing companies face production planning problems. Decisions that need to be taken over multiple periods include when and how much to produce of specific products, so that demand is satisfied. In this project we consider a complex production process, in which items with a customized length need to be cut from bigger objects with […]

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Process parameter optimization for metal additive manufacturing: AI modeling

Additive manufacturing (AM) is a product construction process by adding successive layers of materials according to computer-aided design models. Recently, metal AM products have been increasingly applied in aerospace, automotive, and biomedical industries. However, the complex interactions (i.e. thermal field) between metallic components and manufacturing processes make the product qualities inconsistent and unreliable, resulting in […]

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ML/DL for Action Detection in Movies for Haptic Effects Generation

Haptic signals are sent to movie or home theater motorized seats in order to create an immersive environment to the viewer by applying movements and vibration to the seat. The haptic signals are currently created using a tedious manual design process. These signals need to be matched and synchronized to specific actions in the movie, […]

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Improving the performance of manufacturing processes at GE Bromont by using artificial intelligence and pattern recognition

The products manufactured at GE Bromont go through a series of processes that produce the specific characteristics of each product according to required specifications. The number of these characteristics is very large, and several characteristics are dependent on the others. This reality makes the use of traditional statistical techniques for quality control of products laborious […]

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Realistic Few-Shot Learning

The main objective of this project is to investigate, develop and evaluate state-of-the-art deep-learning algorithms for joint few-shot classification and out-of-distribution (OOD) detection. Few-shot learning deals with the challenges of limited supervision, and OOD detection attempts to identify inputs that do not belong to the set of classes seen during training. The two research problems […]

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ML-based link prediction algorithm for RWA

Artificial Intelligence (AI) and Machine Learning (ML) are key technologies in the development of a new recommendation framework that is able to identify the association between users and items with greater accuracy. This link prediction algorithm can be used in economics, marketing, networking, and social media. It would decrease the rate of mispredictions and would […]

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Speculative Sensory Interfaces: Opening a dialogue between differently-abled bodies through sensory interventions

This project will use speculative design methodologies to create wearable technologies (wearables mounted with sensors that can be worn), capable of sending, receiving, and sharing sensory information across differently-abled human bodies. As the participants with different body structures, mobility, and agility move in space wearing aforementioned wearable technologies, proprioceptive information (sense of balance and body […]

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