Development of Durable Zinc Anode for Next Generation Sustainable Zinc-Air Batteries

The project brings together Canadian industrial and academic partners. This project will allow Pi-Sol Technologies, our industrial partner to develop durable and cost-effective zinc anodes for sustainable energy applications such as Zin-Air batteries. The zinc-air battery market includes a large number of electronic gadgets and appliances used in day-to-day life, remote sensing & communication sector, […]

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Fraud Detection for Online Advertising

With the increasing popularity of Internet, online advertising becomes a new marketing opportunity by instant globally advertisements (ads). At the basis, the process of online advertising can be considered as a buyer/seller relationship, where the two of the key participants are publishers (i.e. seller) and advertisers (i.e. buyer). Publishers make money through hosting websites with […]

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Assessment of a manure additive in reducing GHG emissions from liquid hog manure

Livestock manure represent a significant source of GHG emissions in agriculture section of Canada. This project aims to assess the effectiveness of a manure additive in reducing N20 and CH4 emissions during the storage of liquid hog manure, as well as the carry-on effect on soil GHG emissions after the additive-treated manure being applied to […]

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Évaluation automatique du niveau de maitrise d’une langue seconde

Le but de ce projet est la création d’un outil permettant d’évaluer automatiquement le niveau de maitrise d’une deuxième langue via l’utilisation de l’intelligence artificielle. L’intégration de l’intelligence artificielle dans un pro-cessus d’évaluation permet de réduire les aspects humains de la prise de décision. En effet, le jugement d’une personne peut être affecté par différent […]

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Developing Supports to Retain Critical Care Healthcare Professionals

Throughout the Covid-19 pandemic, the critical care workforce has been exposed to a multitude of psychological risks, and because of this health care professionals are experiencing unprecedented levels of exhaustion, burnout, anxiety, depression, stress, Post Traumatic Stress Disorder, and moral distress. These psychological effects of the pandemic have led to an increase in workforce turnover. […]

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GeoAI and GIScience to model and simulate the environmental determinants of beehives’ health

Through the integration of geocomputation approaches, Geospatial Artificial Intelligence (GeoAI) and Geographic Information Science (GIScience), this research project will contribute to the development of modeling and simulation approaches that will allow Nectar to understand the key interactions within the bee-human system (beekeeping). Leveraging the technological tool developed by Nectar, called BeeTrack, the overall aim of […]

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Conversion of biosolid to value added biochar via pyrolysis technology for PFAS elimination

Per- and polyfluoroalkyl substances (PFAS) are a very large family of persistent anthropogenic chemicals utilized in the manufacturing of industrial materials with non-stick and oil/water repellent properties, Teflon, and fire-fighting foams. Their use has resulted in their final dispersion in soil, groundwater, and surface water, causing adverse environmental and health effects. They are responsible for […]

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Evaluating and learning from a mind-body medicine course: A mixed methods study (1)

This project learns from the experience of participants in an eight-week Mind-Body Medicine program (MBM). Mind-Body Medicine (MBM) teaches people how to help themselves by uncovering and engaging their inner resources and building resilience, broadly understood. The eight-week MBM program is delivered through the Iris Centre for Mindfulness, Peace and Healing in Fredericton. The research […]

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Development of field-ready AI model for estimation of compressive strength of concrete using non-destructive testing methods

The proposed project aims to apply artificial intelligence methods to augment in-place non-destructive testing technologies in order to reduce or eliminate the need for intrusive methods (i.e. concrete core extraction) for concrete strength estimation. The proposed approach is based on the SonReb method, which combines two non-destructive testing technologies, namely ultrasonic pulse velocity and rebound […]

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