Many seniors are spending their time lying in bed or sitting in recumbent chairs because of chronic conditions that limit their mobility. It is crucial to assure that their position is changed regularly to prevent bedsores. Therefore, a monitoring system is required to not only remind the caregivers or family members to reposition the patients […]

There is an increasing demand for high resolution soil information to support precision agriculture. One of the tools that has been a focus of research to help meet this demand is the development of proximal soil sensing using reflectance spectroscopy. The advantage reflectance spectroscopy is that it is rapid, non-destructive, and can test for multiple […]

This study aims to propose a way to indirectly measure indoor fungi, which are known to be the causes of environmental diseases obtained in indoor life. For this purpose, MOFs-based multi-modal sensors for mVOCs will be developed, and machine learning algorithms to distinguish between general chemicals and mVOCs will be established. The detailed research plan […]

Marine Thinking aims at building a thriving business and using cutting edge AI technologies to transform the marine sector, starting in Atlantic Canada. The project is to develop advanced machine learning algorithms for the guidance, navigation and control unit of the USV, to have a safe navigation with hybrid path planning, obstacle avoidance, intelligent robust […]

The Road Pavements are subjected to distress due to heavy traffic load and environmental factor and is a common cause of accidents resulting in loss of valuable life and economic losses. Regular monitoring and timely maintenance is the key to ensuring a healthy roadway infrastructure. Traditional methods of manual monitoring are time consuming, expensive and […]

Current RFID tags process reveals that it is impossible to set the cost per tag to less than 5 cents. Similarly, area is a precious quantity. Much of the area in a tag is used by digital logic and capacitors. Merely adding more area is not a sustainable solution. This project will help the community […]

Presently the Ocean Mapping Community is spending a lot of time manually cleaning the raw sonar survey files. If this cleaning process is done by an Artificial Intelligence system as clean as a human would do, this could be transforming the entire Ocean Mapping community. Therefore, we propose a novel solution of using an Artificial […]

Low predictive accuracy of energy output is one of the weakest points in wind power generation. Power curve of a wind turbine provides assistance in energy assessment, warranty formulations, and performance monitoring of the wind turbines. Wind turbines are being installed in offshore diverse climatic conditions causing substantial departure of these power curves from the […]

This project will develop a robust software package that can be embedded with a camera system to provide an onboard sea-ice monitoring system. The software package consists of two main components: (1) Deep learning classification model, which involves a deep learning network trained to identify and classify sea-ice; (2) Lens artifact removal method, which is […]

Canada works towards designating 30% of our national waters as Marine Protected Area (MPA) by 2030. The need to collect baseline information and monitor such a huge territory, which is equivalent to the area covered by Alberta, Manitoba, New Brunswick, and Nova Scotia altogether, will be next to impossible without a paradigm shift in the […]

Ainsi, l’objectif principal de ce projet est de développer une méthode basée sur les techniques d’observation de la Terre (OT) afin d’évaluer les effets de la réhabilitation de corridors de transport en Irak sur le développement d’infrastructures économiques et sociales. L’approche sera basée sur l’application de l’apprentissage profond aux images satellites THR pour la détection […]

This project is part of a longstanding continuous collaboration between Ultra and École de technologie supérieure that seeks to leverage the advancements of artificial intelligence (AI) to design a comprehensive framework for a robust ad-hoc underwater tactical wireless networks (AUTWNs). The network will be featured with privacy preserving mechanism to assist threat classification and self-organizing […]