Automatic Machine Learning for Recommender Systems

This project aims to improve recommendation systems by using advanced computer techniques called Auto Machine Learning and Meta Machine Learning. This involves automating parts of the machine learning process, like finding similar data and picking the best settings for the computer model. This project also aims to make it easier for others to set up […]

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Real-time DNS tunneling detection using Machine Learning & Deep Learning techniques

Domain Name System (DNS) tunneling is a malicious technique that enables attackers to bypass network security measures and steal sensitive information. Traditional detection methods that rely on signature-based approaches are often ineffective against advanced attacks. In light of this, recent years have seen a growing interest in the use of deep learning techniques for network […]

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DNS tunneling detection method based on ML & DL models

Domain Name System (DNS) tunnels as a covert communication channel between a controlled host and a master server can be utilized by malicious attackers disguising the master server as an authoritative domain name server. DNS tunneling can cause significant harm due to its ability to easily evade network security mechanisms by using DNS traffic, so […]

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Security enhancement of free-space quantum key distribution system

Satellites have become a crucial part of everyday life. We use satellites for watching television, navigation, weather predication, national defense, and everything in between. Therefore, the safety and security of our satellites is very important. However, there are two problems that put satellites at risk of cyberattack: 1. As computers become more advanced, old cryptographic […]

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Enhanced machine learning for hematology analytics with near-field microscopy

Alentic Microscience Inc has developed a highly portable device that can analyse blood in a few minutes, opening the possibility for much improved healthcare for a lower coast. The system uses AI a proprietary sensor system that provides data for an AI based analysis technique. In this project we will evaluate the impact of recent […]

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Fusion d’une méthode classique et d’une méthode par apprentissage automatique pour la détection de mouvements humains par radar

Le radar développé par Morphée+ détecte avec une grande précision la présence de 1 à 3 sujets/objets mobiles dans une pièce vide ou avec des objets immobiles. Cette identification des mouvements est affectée lorsque d’autres objets ou sujets sont en mouvement dans la pièce. La méthode utilisée actuellement par Morphée+ se base sur l’utilisation de […]

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Sales Process for medical technology

Foqus has built a software solution that can speed up MRI scans and is applying for regulatory clearance to commercialize the software. This project focuses on the sales process of the product and facilitates taking the software to the market.

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