Speed Eco has developed an interactive educational selfguided local history app for tourism and self guided tours. As the bluenose is of significance to the local history and of interest to tourists and locals, speedEco is developing the appropriate software and tools to allow for virtual reality, a 3D rendering of the boat and a […]

Videns accompagne actuellement plusieurs PME dans le secteur de l’assurance dans leur initiative de transformation numérique. Nos services d’accompagnement visent à soutenir les PME dans leurs démarches vers une transformation numérique répondant à leurs besoins et alignée à leurs objectifs stratégiques. L’accompagnement de Videns est divisé en 4 volets : l’analyse de la situation actuelle, […]

This research will explore machine learning methods in order to devise a control scheme for robotic manipulators(Candarm3) in the context of space exploration. The objective is to develop an early prototype for an autonomous learning agent which can carry out standard control tasks without any operator supervision. The primary machine learning methods that will be […]

The use of indoor location-aware applications such as augmented reality, social networking, health care monitoring, asset tracking, and inventory control is on the rise. However, accurately locating Wi-Fi based devices within buildings can be a challenge, particularly in areas where GPS signals are unavailable. This research project focuses on finding ways to locate indoor devices […]

With the evolution of unmanned aerial vehicles (UAVs) in recent years, more and more researchers are setting their sights on the application research of indoor environment. Indoor applications include industrial facility inspection, warehouse inventory management, health sector, search and rescue, among others. However, the use of UAVs in these applications requires continuous high-accuracy positioning and […]

This research project aims to develop a technique for detecting and analyzing security incidents in their early stages, reducing the potential impact on an organization’s operations. Conventional methods of deep packet inspection (DPI) and network monitoring solutions only identify frequently occurring traffic patterns, and security threats are often not detected until it’s too late. The […]

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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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 […]

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 […]

Excess water in the road base can lead to damage to roads from several mechanisms including decreasing stiffness of road base, freeze-thaw cycles, and swelling/shrinking of subgrades in expansive soils. Reducing the time that a pavement system is saturated is known to increase the lifespan of roads. Recent innovative geosynthetic products can further remove water […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW