Extending the level proximal subdifferential

Many real-world applications can be modeled as nonconvex optimization problems, such as the phase retrieval problem in medical imaging and matrix factorization problems in data analysis, just to name a few. Proximal-type algorithms serve as ideal candidates to resolve these nonconvex problems. Nevertheless, their convergence analysis remains challenging due to the lack of favorable properties […]

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Flexible electronics for heated glove control

Wearable devices are a promising technology for collecting and analyzing physiological and environmental data for various applications, including healthcare, sports and fitness, and occupational health and safety. In some settings, these wearable devices can also be integrated with actuation capabilities to interact with users. The proposed research project focuses on applying wearable technologies to thermal […]

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Impact assessment of delineated management zones and variable nitrogen application rates in potato production using artificial intelligence techniques

Prince Edward Island (PEI) potato production represents 23% of the total production in Canada, contributes 6.6% in the local provincial economy, therefore maintaining higher potato yield is the main goal of local farmers. This can be achieved through proper management practices including nutrients supply such as nitrogen. Nitrogen (N) is the one of the most […]

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Development of an economical organic Rankine cycle (ORC) modular rig using low-temperature geothermal heat sources

This proposal aims to address the urgent need for clean energy solutions in Canada, particularly focusing on harnessing geothermal energy to meet electricity demands. By utilizing an Organic Rankine Cycle (ORC) system, which efficiently converts geothermal heat into electricity, the project seeks to develop a modular rig integrated with parallel turboexpanders for enhanced performance. This […]

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“Improving Flexural Strength Predictions in Composite Materials using Image Processing and Machine Learning”

This project aims to improve the way we assess the strength of short fiber reinforced composites, focusing on sustainability. By exploiting the distinct visibility traits of PEEK and carbon fibers in CT scans, the study will utilize non-destructive testing and computer algorithms to analyze and measure factors critical to the material’s strength directly from scan […]

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Development of a computational pipeline to mine phage endolysin sequences from metagenomic datasets

The resistance of bacteria to antibiotics is a growing problem that we need to address, for example, through the development of alternative treatments. Bacteriophages, or phages, the viruses of bacteria, have been proposed as a potential avenue for the treatment of recurring bacterial infections or against multi-resistant bacteria. Even more promising, are proteins encoded by […]

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Thermal Management System for High-Temperature Thermal Energy Storage Applications

This proposal focuses on enhancing renewable energy utilization by developing efficient thermal energy storage systems. By leveraging technologies like microscale flow channels that are reported to provide high heat transfer coefficients, the project aims to improve heat extraction rates, enabling better integration of renewable power generation systems with thermal storage. The collaboration between the University […]

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Exploring the decoration of nanostructured nickel sub-oxides with single atoms for energy conversion electrocatalysis

The proposed project aims to advance energy conversion processes by developing an innovative method to create single atoms (SAs) on a nanostructured nickel oxide support layer, facilitating electrocatalytic oxygen generation. With a focus on enhancing hydrogen and oxygen evolution reactions, crucial for renewable energy generation, fuel production, and energy storage, the project addresses pressing global […]

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Développement d’hybrides PMMA-silice aux propriétés anticorrosives, bioactives et bactéricides pour les implants orthopédiques en alliages de titane.

Le titane et ses alliages métalliques sont largement employés dans les dispositifs médicaux pour la réparation ou le remplacement des os. Une intégration osseuse rapide est essentielle pour garantir la durabilité et l’efficacité des implants et éviter les infections bactériennes. Cependant, la formation de biofilms bactériens à la surface des implants en titane constitue un […]

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Design a post-quantum cryptographic algorithm based on lattice for mitigating quantum computing threats.

Cryptographic algorithms are fundamental tools for securing digital information, with symmetric and asymmetric algorithms serving as the cornerstone of modern encryption techniques. Symmetric algorithms utilize a single key for both encryption and decryption, while asymmetric algorithms employ a pair of keys for these operations. Classical cryptographic algorithms, including RSA and AES, have been extensively utilized […]

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Development of State-Space Models for Predicting Insurance Risk of Accidents in Autonomous Vehicles Based on Telematics Data and Improvements to Existing Modeling Approaches

The development of autonomous vehicles and telematics is transforming the auto insurance sector. Reports highlight Tesla’s insurance ventures predicting a significant revenue share. This shift is underpinned by telematics, which offers detailed insights into driving behaviors and vehicle usage, essential for autonomous vehicle insurance risk assessments and pricing. The research in this domain, especially in […]

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Nanostructuration et régénération pour un biocapteur plasmonique ultrasensible

Le projet Épistorm consiste à développer un capteur optique pour détecter des concentrations de micro-ARNs de l’ordre du femtomolaire alors que la sensibilité classique du système utilisé est de l’ordre du nanomolaire. Pour gagner ces cinq ordres de grandeur, nous visons à combiner deux méthodes d’amplification du signal : volumique et surfacique. La doctorante du […]

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