Organic light emitting diodes (OLEDs) used in displays and lighting have advanced display quality but still face issues such as low efficiency and short lifetimes, especially for blue emission. Thermally activated delayed fluorescence (TADF) provides an exciting solution for these challenges, yet there are still few examples of efficient blue TADF emitters. Highly efficient, stable […]

Off-site construction involves prefabricating building components in a controlled environment, allowing for enhanced efficiency, quality, and sustainability. This research addresses critical challenges in the development of manufacturing facilitylayoutsfor Roberts Group, Prince Edward Island(PEI). By employing digital simulation approaches, the project aims to design and optimize factory layouts and workflows, reducingmaterial and streamline production processes to […]

Employee absenteeism presents significant challenges for organizations, affecting productivity, team morale, and operational efficiency. Accurately predicting absenteeism enables businesses to proactively address its underlying causes, optimize workforce planning, and minimize disruptions. Advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL) provide robust methods for analyzing complex datasets to uncover patterns associated with […]

The overall research aims at conducting studies that use high volume data and analytics in order to provide realtime process optimization and optimal control to processes that are to be controlled in preparation for the industrial environment. These investigations is the first stage or Phase 1 associated with creating the mechanism to have machines learn, […]

Ce projet révolutionnaire intègre les capteurs quantiques et l’Internet des objets (IoT) pour optimiser la surveillance des infrastructures de transport, notamment les ponts et les routes. Dans un contexte de vieillissement des infrastructures et de pressions climatiques croissantes, les capteurs quantiques se distinguent par leur capacité à détecter des phénomènes invisibles aux technologies classiques, comme […]

Ce projet combine les capteurs quantiques et l’Internet des objets (IoT) pour améliorer la surveillance des infrastructures de transport, telles que les ponts et les routes. Face au vieillissement des infrastructures et aux défis climatiques, les capteurs quantiques offrent une précision exceptionnelle pour détecter des phénomènes invisibles comme la corrosion et les variations de température. […]

SportsPrevention.com estimates the risk levels of preventable injuries associated with training program, training response, recovery and health status by continuously more than 20 evidence-based overtraining and injury markers and risk factors. Each marker is statistically analyzed on an individual basis and results are presented in a simple and meaningful way, along with actionable ‘how to […]

Climate-Conscious Waste Diversion for Households in Fredericton This internship will assist the Fredericton Community Climate Hub initiate discussions with City residents on climate-conscious lifestyle choices by engaging them in practices to reduce or eliminate household wastes. The intern will research, analyse and synthesize the disparate programs for citizens to actively employ the 7Rs (rethink, refuse, […]

This project proposes the development of an innovative robotic system that utilizes piezoelectric energy harvesting to convert vibrations into usable energy. The system will be integrated with flexible robotic arms, enhancing their efficiency and sustainability. Collaborative simulations and experimental studies will be conducted at The University of the West Indies (UWI) and the University of […]

Wildland fires in Canada pose significant risks, causing extensive damage to ecosystems, property, and human life. The record-breaking 2023 wildfire season, which devastated 18 million hectares, underscores the urgent need for improved detection and mitigation strategies. Recent advancements in deep learning have demonstrated strong potential in early wildfire detection and fire spread prediction, providing critical […]

Le cancer représente un défi majeur pour la santé mondiale avec des millions de nouveaux cas chaque année. L’intelligence artificielle (IA), notamment l’apprentissage profond, a amélioré la détection des tumeurs, mais transformer les grandes quantités de données médicales en informations cliniquement exploitables reste difficile. L’informatique quantique émerge comme une technologie prometteuse, notamment via l’apprentissage automatique […]

Le projet de recherche vise à développer un algorithme avancé de détection des mouvements des mains et des doigts en 3D en utilisant le Leap Motion Controller, l’objectif est de créer une expérience utilisateur améliorée qui remplace l’utilisation traditionnelle des périphériques comme la souris et le clavier par des gestes de la main. Cet algorithme […]