Use of Artificial Neural Networks for Predicting the Offshore Wind Turbine Power Curve Using Various Training Algorithms in Newfoundland

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 […]

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Improved Deep Learning-based Sea-ice Monitoring System

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 […]

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AK Platform – Soft skills learning as a key resource for faster job placement

Canada, a country composed presently of 20 percentage of immigrants, aims to be a world leader in global problem-solving. To do so, and to draw from the insights and ingenuity of the immigrant population, requires that Canadian organizations develop faster and more effective ways of adapting newcomers into the labor market. Especially, as extant research […]

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Approche autonome pour la cartographie des réseaux urbains souterrains

Le géoradar (GPR) est une technique électromagnétique (EM) pour l’imagerie non invasive de supports opaques, souvent utilisé pour les levés souterrains. Le traitement des données GPR, surtout dans des zones urbaines souterraines, repose sur des opérateurs qualifiés et implique de nombreuses étapes coûteuses. Les résultats sont souvent basés sur de larges hypothèses et impliquent une […]

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Sustainable functionalized magnetic particles for efficient treatment of marine oil pollution

Oily wastewater production and discharge from different sources such as industries and daily human activities are the main sources of marine oil pollution. More importantly, accidental oil spills occurred in oil extraction/production, refining, and transportation stages can cause detrimental impacts on the aquatic ecosystems and marine environments. In this Lab2Market project, we apply a special […]

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lnfluence of odour presentation on panelist response variability

Olfactometry is the science of using human subjects to measure odours without bias, as no instrument yet can replace the human nose. Recently, the method presenting odours to panellists has been identified as a potential element affecting response and measurement variability. Furthermore, the sensitivity of electronic noses also developed to measure odours remains an issue. […]

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Design and optimization of low-frequency piezoelectric energy harvesters

Portable electronic applications are typically powered by batteries, which have limited lifespan and size constraints. Energy harvesting from the spatial environment is a promising solution to sustainable power supplies for low-power portable devices and sensor networks. Vibration-based energy harvesting has received much attention due to the recent advances in microfabrication of piezoceramic materials. These smart […]

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Development of an effective process with aid of micro-organisms and fungus for reduction of environmentally destructive effect of spill oil toward ocean ecosystem protection.

The risk of an oil spill in the marine environment always exists during offshore oil production and transportation. The oil spill can affect the marine ecosystem, including seabirds, aquatic organisms and even humans health, both directly and indirectly. The best solution to the oil spill incident is collecting the spilled oil, extracting that from the […]

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Prédiction intelligente des défaillances dans les structures mécaniques et procédés

L’une des orientations majeures de la quatrième révolution industrielle est de rendre intelligents les systèmes de contrôle des structures et des processus industriels, par l’intégration de capteurs au cœur du procédé. L’installation d’un nombre considérable de capteurs à travers les endroits les plus à risque a permis d’obtenir des bases de données, structurées, massives et […]

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Computer-Aided Detection of Kidney Tumors using MRI Images and Deep Learning

Renal cell carcinoma (RCC) is the most common type of kidney cancer, accounting for 3% of all cancers diagnosed in adults. Medical Imaging is essential in diagnosis and treatment of kidney cancers. Magnetic Resonance Imaging (MRI) is now increasingly used in diagnosis and treatment of kidney cancer because of its ability to provide more insights […]

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