Methane Assisted Catalytic Upgrading of Extra Heavy Crudes under Moderate Conditions

Vacuum residue (VR) is the heaviest part of crude oil accounting for a large proportion in modern refineries, while its utilization routes are generally of low efficiency and high energy intensity, and thus economically and environmentally unfavorable. Similarly, bitumen recovered from Steam-assisted gravity drainage (SAGD) process experiences high viscosity and density as well as high […]

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A Data-Driven Modeling Approach for Estimating Methane Emission Sources from Satellite, Environmental, and Oil/Gas Well Data

There has been an increased commitment to capping GHG emissions from oil/gas (O/G) operations. However, reliable monitoring and quantification of methane emissions from particular sources are difficult for several reasons: (1) high-resolution sampling data over an extensive geographical area is rare; (2) identifying emission sources from large-scale monitoring satellite data is extremely challenging, often yielding […]

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Gamification Best Practices- building the foundation of advanced learning

Gamification is the process of adding game elements to something in an effort to encourage participation and increase engagement. It has been used throughout multiple sectors and industries for the last decade and has been proven to have a positive impact on user engagement and enjoyment. Through this increased engagement, gamification is able to provide […]

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Mise en place d’un lien standardisé entre la norme IEC et métriques / descripteurs de maintenance dans l’industrie éolienne

Power Factors offre une plateforme de suivi de performance de parcs éoliens et solaire. Cette plateforme collecte les données opérationnelles des parcs, les archive, puis les traite pour transmettre des indicateurs clefs aux exploitants de ces parcs. Power Factors utilise déjà quelques modèles de détection d’anomalies à travers sa plateforme d’analytiques avancées. Ces modèles ont […]

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Automated Domain Specific Essay Scoring

Automated essay scoring (AES) task involves using computer technology to grade written assessment and assigning a score based on its perceived quality. AES has been among the most significant Natural Language Processing (NLP) applications especially due to its educational and commercial value. Accordingly, AES is a well-studied topic with previous studies focusing on improving the […]

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Digital interventions to improve the mental wellbeing and quality of life of low-income community-dwelling older adults

Our previous research with Mitacs has found that financial burden is one of the biggest negative contributors to the mental health of community-dwelling seniors. We plan to continue to work with the West End Seniors Network (WESN), Vancouver’s second largest not-for-profit seniors’ center, to explore how technology can be utilized to provide mental health aids […]

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Quality Assessment of Montagui Shrimp

Nunavut Fisheries Association (NFU) is doing this study that evaluates quality, handling and processing methodologies for Pandalus montagui shrimp (striped shrimp) with the aim of improving quality and yield. Montagui shrimp is typically regarded as an inferior quality product to Pandalus borealis (Northern shrimp) and as such gets a lower price in the market.

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A Graph Neural Network Approach to Short-Term Electric Load Forecasting

Short-term electric load forecasting for local areas is of interest to Hydro-Québec to efficiently respond to demand at the distribution level. Any significant forecasting error can result in reliability issues, loss of opportunity, or additional costs to the business. Improving short-term load forecasting can benefit both consumers and utility companies to optimize resources and costs. […]

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Dandelion Open Distributed Computing Platform Development (Software Development)

Dandelion technology solves the speed and scalability problems of current blockchain using a new physical paradigm to build the most efficient, open distributed network, with a finalization cost of $.00001 per event. The proposed project is aimed at adding smart contract and sharing functionality to the Dandelion network, improving cryptographic efficiency with aggregable signatures under […]

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AltaML Strategic Business Expansion

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to […]

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