Amélioration services publics de la Ville de Trois-Rivières

Projet 1 : Centralisation des droits d’accès aux logiciels Projet 2 : Système de maintien des droits d’accès aux logiciels Projet 3 : Automatisation de la création des environnements de tests utilisateurs Projet 4 : Feu et glace : Amélioration des tableaux de bords interactifs de l’incendie et du déneigement Projet 5 : Mise en […]

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Improving the Onboarding Process for the Heardthat App

The use of artificial intelligence (AI) is ushering in a new era of technology for assistive hearing devices. One example is HeardThat, a smartphone app that uses AI to enhance speech comprehension. It helps people carry on conversations more easily in the presence of background noise. This is something that many struggle with even if […]

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AI For Real-Time Embedded Applications: Honeypot Learning and Predicting for OoD Attack Patterns

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

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Predicting Perfect Matches Between Organizations

Successful partnerships between non-profit organizations and funders are fundamental for organizations’ abilities to concentrate on their mission, and for founders to see their philanthropic investments align with their values and make real impacts. Matching founders and organizations has traditionally been done informally through personal connections, networks, and expensive prospecting software and databases. Just like a […]

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Development of an online and customizable corporate challenge and integrated workplace wellness tracking and self-monitoring platform

The main objective of the project is to develop a customizable corporate challenge and integrated workplace wellness tracking and self-monitoring platform. Physical inactivity has a direct impact on employees’ medical condition, workplace stress, health metrics, self-reported work impairment, and absenteeism. Thus there is a crucial need for wellness programs that maximize employee participation to physical […]

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Tiresias: Client Private Malware Protection

Tiresias is a client private solution to malware protection and threat intelligence. Tiresias allows a user to put all their incoming files in a cryptographically secure Data Chest locally. After sending the Data Chest to our cloud environment, our AI scans and infers if it is malicious without seeing the actual file content from the […]

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Targeted marketing procedures by data mining operations on Social Networks.

Built on Web 2.0 principles, LimeSpot Solution Inc. will work with intern(s) to research on multiple modules that cover a variety of different aspects of applicability of social network in marketing and e-commerce: user driven, provider driven, device driven, and multiple providers. The research will help the partner organization to improve upon the current offerings […]

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A novel phishing detection approach using Fuzzy Logic and Deep Learning

People are switching from traditional shopping to internet commerce as Internet access increases quickly. So nowadays people are becoming more dependent on e-commerce-based websites. On the other hand, instead of robbing businesses like banks and stores, modern thieves now use the anonymous internet architecture to track down their victims online. Hackers are employing new strategies, […]

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Systeme de Suivi Automise des discussions sur Twitter

Ce projet vise le developpement d’un nouvel algorithme permettant de mieux suivre l’evolution d’une discussion sur des reseaux sociaux, notamment Twitter. Il se base sur une analyse de la cooccurence des mots-clics (hashtags) utilises par les usagers pour faire une expansion de requete. Cette demiere permettra une adaptation en temps reel du systeme de cueillette […]

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Beneva : Explicabilité post-hoc des réseaux profonds

L’utilisation des algorithmes de type « boîte noire » gagne en popularité en entreprise, même au niveau de l’aide à la décision. En assurance collective, ces algorithmes peuvent être d’un précieux soutien pour l’actuaire chargé de la négociation avec un groupe. Toutefois, dans ce contexte, la difficulté à comprendre les prédictions de l’algorithme nuit grandement […]

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Valorisation des données dans les services d’urgences

Les patients dans les services d’urgences ont besoin d’accéder aux soins dans des délais spécifiques afin d’assurer le bon traitement au bon moment. Le nombre limité des ressources humaines et la mauvaise planification ne permet pas l’exploitation optimale en urgence. Le déséquilibre entre la demande d’accès aux soins et la capacité des services d’urgences devient […]

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