Multisensor Integration for UAV Indoor Navigation and Mapping

UAVs are becoming essential solutions in a wide range of industries. In this market growth, the potential of UAVs to fly in indoor environments represents a massive opportunity for companies. In particular, for applications such as medical care, search and rescue operations, and industrial management and inspections. The main concern of UAVs flying indoors is […]

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Conception d’un outil intelligent, chatbot, capable de valider des auprès des utilisateurs des changements de comportement financiers

Le projet consiste à aider un partenaire à développer un coach de bien-être financier. Ce produit, qui prend la forme d’une application mobile, sert à guider ses utilisateurs à atteindre des objectifs financiers. L’objectif du projet est de concevoir un chatbot intelligent, capable de valider auprès des utilisateurs des changements de comportement financiers. L’application doit […]

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ProNotes Internship

The summer internship student will be responsible for computing, presenting, and performing the verification of the design of the design. Prior to being able to test the usability of the application the signal processing feature must be developed so that it is deployable on a mobile device that first obtains the raw data from the […]

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Applications of Tensor Neural Networks to pricing early-exercise options

An early-exercise option is a financial agreement which grants one party the right, but not the obligation, to buy or sell an underlying asset at a pre-agreed price at a series of pre-determined times. The problem of pricing an option is of great practical importance and is typically addressed using computationally expensive numerical simulation methods. […]

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Advisor churn prediction in financial institutes

The partner company is a business that provides solutions for financial institutes and wealth management companies. This company has provided services to more than 100 financial firms with a total of 1 trillion Asset Under Management. The financial churn prediction is important for these client companies because leaving financial advisors is likely to lead to […]

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Synchronization between cloud database andmobile applications

The project will provide FarmAtHand – the partner organization a scalable and secure solution for making applications on multiple mobile platform like iOS, Android, and Windows Phone. With this solution FarmAtHand will benefit by receiving brand new mobile applications on iOS, Android, Windows Phone, and websites on which they can implement their farming approach. The […]

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Étude comparative de modèles de segmentation d’instances de légumes

Pour résoudre une problématique liée à l’analyse d’images en temps réel, Lapalme Gestion Conception Mécanique recherche un algorithme d’intelligence artificielle qui soit performant dans un contexte de tâches agricoles. Cependant, malgré la grande quantité de recherche faite en intelligence artificielle, l’évaluation de modèles sur des données agricoles est plutôt rare. Ce projet vise donc à […]

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Developing a Farm Management System: Migrating from iOS to Android platform

The project conducts a research to explore and investigate ways in developing a farm management tool that will assist farmers to have instant and secure access to information, and have the ability to update those information. Information updated on a device outside the coverage of wireless connection will be updated and synchronized when the device […]

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Developing trajectory predictions for AI-enabled psychiatric clinical decision support systems – Aifred Health

Aifred Health has developed an AI-powered clinical decision support system to support doctors treating patients with depression, which is currently under clinical trial. This project aims to improve Aifred’s existing offering by developing technology for trajectory predictions. This technology can be used for several applications involving time-series data, including tracking patient treatment progress. This will […]

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Arctic Research Foundation – Data Migration

This phase will concentrate on providing a means of transferring data from the Polar Data Catalogue in a CCADI approved format. This will include analysis of the Polar Data Catalogue data and comparison to CCADI’s standards, and creating a Extract Load Transform (ETL) processes to transfer the data to the Arctic Research Foundation platform.

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Hybrid Graph-based Generative Architecture of Schematic Floor Plans

Our research provides time-cost and financial effective solutions for construction projects and customers. The solutions include a performing of the graph represented generative floorplan, the scalable and user-participated framework. This research targets performing an end-to-end generative pipeline to conduct valid schematic floor plan designs for contextual adjustment representation of any functional buildings. The goals are […]

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