Insurance fraud detection in automobile insurance

We will focus on creating a series of time dependent models for detecting fraudulent claims depending on the level of dynamic information available, and fine tuning these models before testing them with live data and putting the retained models into production. Our objective is to better filter our actual label-claims to form a better control […]

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Deep learning approaches for semantic textual similarity on low-resource languages and specialized domains

The aim of this research is to investigate from traditional methods to deep learning methods, how to measure the meaning relationship between two sentences, by combining the local context, at word-level, and the global context at the sentence-level, and their ability to model informativeness and diversity of meanings expressed in natural language, i.e. in English […]

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Let’s Do This Together! Developing a Knowledge-based Documentary Media, Community of Practice and Institute at the University of New Brunswick

Academic institutions and funding agencies are increasingly asking their researchers to conduct more outreach activities, including knowledge-mobilization endeavours. However, researchers often lack training and/or resources to effectively communicate with non-academic audiences. Using the DOCTalks Guide: Cross-sector Collaborative Practices for Knowledge-based Documentary Media, we propose a DOCTalks Institute for Knowledge-based Documentary Media and an associated Community […]

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Quantifying the Effects of Stress and Mycorrhizal Relations on the Production of Phytocannabinoids in Rhododendron dauricum and its Fungal Symbiont Albatrellus ovinus

Rhododendron dauricum produces medicinal compounds that are similar to cannabinoids (e.g. CBD). Cannabis plants are exposed to stress to increase their production of cannabinoids. The effect of stress on the production of medicinal compounds in R. dauricum is unknown. R. dauricum has a symbiotic relationship with a fungus, Albatrel/us ovinus, that produces similar medicinal compounds. […]

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Indoor Mapping based on recorded videos

Knowledge of indoor spatial information is vital to stores, warehouses, industries, and homes alike. It is used to optimize layouts to achieve easier navigation for humans, machines, and autonomous robots. Maps provide limited data about the specific placement of objects in the environment and inferring information about the physical space can be impossible. The objective […]

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Rural community pandemic research response at the Applied Research and Innovation Center – Selkirk College

This proposed rural community pandemic research response at the Applied Research and Innovation Center (ARIC) aims to collectively address and support rural issues related to the pandemic through research. The main themes support sustainable economic development and diversification, community resiliency, and sustainable community indicators for development and prosperity. Economic development and diversification will entail collaboration […]

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Using AI to generate mining algorithms

Hard-rock mining of uranium in Canada’s north is challenging and often difficult. Operating risk exposures are heightened when mining in high-grade uranium ore bodies that are exposed to possible flooding from water above the mine. To succeed in this environment Cameco has successfully mechanized their operations and relies on Jet Boring technology. This proposed project […]

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AI for delivering product recommendation in retail consumer categories

E-commerce has evolved rapidly in recent decades resulted from globalization and international trade. The demand of online shopping is increasing every day, which has opened business opportunities to attract more costumers locally and globally. However, achieving satisfactory user experience in online shopping remains challenging compared to in-person walk-in shopping. Currently, customers have to input static […]

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Deep Unsupervised Anomaly Detection in Options Markets

In the last few years, a high increase in the interest of traders and investors towards financial instruments directly lead to an important augmentation of the information received daily by exchanges. Exchanges regulators, who constantly monitor markets to unveil potential infractions, traditionally perform their investigation manually and the notable growth in market activity represents an […]

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