Failures in a telecommunication network harm the communication quality. Once happened, if the system cannot solve it by self-healing, such anomaly may even result in serious problem and result in massive economic loss. In this project, we will design and develop a system to predict these failures in advance using the status values of the […]

Thales développe un logiciel pouvant gérer les activités de projet en réfection de navires militaires. En particulier, ce logiciel permet d’ordonnancer les différentes tâches à accomplir, c’est-à-dire les positionner sur une ligne du temps. L’ordonnancement produit doit tenir compte de la disponibilité des ressources (main-d’œuvre, équipements, espaces de travail) tout en minimisant les heures supplémentaires […]

Avionics on modern aircraft are becoming complex computer systems supported by increasingly sophisticated software. These systems often require software upgrades that are performed during aircraft maintenance on the ground. In order to ensure the integrity of software upgrades and database updates, digital signature of the corresponding data files has been used as means to prevent […]

Automatic segmentation and detection of cells is a fundamental task in relevant medical fields such as histopathology, hematology, and cytopathology. Deep Learning methods show promising results, but often require excessive amounts of data, which is a major barrier to entry, especially for experimental cellular imaging data. This project aims to develop a state-of-the-art cell detection […]

It is estimated that 5.4 million Canadian adults have chronic sleep abnormalities. Symptoms are not visible to patients because they happen during the night. Hence, they remain undiagnosed. Besides, sleep abnormalities can cause different chronic health problems, that is sleep apnea, diabetes, stroke, brain injury, Parkinson’s disease, depression, and Alzheimer’s disease. Thus, measuring sleep behavior […]

Knowledge of the geographic distribution and identification of species is essential for the conservation of biodiversity. With advances in technology and greater accessibility of equipment capable of recording underwater, it was possible to obtain data efficiently. However, it leads to an immense volume of information collected, which requires exhaustive manual processing that requires label, time […]

The development of scalable quantum computers threatens the secrecy of communication by breaking classical encryption schemes. In order to ensure long-term security in communication networks quantum-safe cryptography is currently being developed and evaluated in standardization competitions. A special property of many of the proposed cryptosystems is a low but non-zero probability of failure: An encrypted […]

Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of […]

Modern Industrial Control Systems (ICS) are increasingly getting connected to the Internet to facilitate operations. To ensure safety on the internet, the ICS communications are being encrypted. This poses a challenge for the traditional Intrusion Detection Systems that used to rely on visible messages and control data communication for detecting the presence of known attacks […]

e-Questionnaire system is a cross-platform and client-server interactive mobile application. The partner company can apply this single project on different platforms of mobile devices, such as Android, IOS, Blackberry and so on. In this project, the main scenario is that students use their smartphones and tablets to download and store questionnaires from remote server into […]

Computer vision researchers have been moving beyond simple image classification and tackling more complex tasks such as object localization, detection and semantic segmentation. However, many of the proposed methods require large amounts of annotated data such as segmentation masks, which are expensive and time-consuming to acquire. Moreover, those methods cannot segment new object categories which […]

In the current era of big data, huge volumes of a wide variety of data are generated and collected at a rapid rate. Embedded in these big data is implicit, previously unknown and potentially useful knowledge and information. This calls for data science—which use techniques like data mining, machine learning, etc.—for social good. With popularity […]