Enhanced Database Structure to Optimize Analysis of Cost Data

This research project is intended to develop and maintain a database for collection and storing of data for the direct operational maintenance cost of an Aircraft. This research will investigate and develop an improved database structure which will lead to better analysis of the Direct Maintenance Cost or DMC incurred by operators of the aircraft. […]

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Adjustments on Bombardier spare pricing model for reduced Direct Maintenance Cost

Airlines must continuously strive to reduce operating and maintenance costs [1]. Bombardier has continuous target to meet customer expectations for maintenance cost reduction. Bombardier purchases parts from its OEM suppliers and sell parts to Bombardier customers for maintenance. However, Bombardier Commercial Aircraft (BCA) is concerned about aftermarket cost with OEM supplier in the market. At […]

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Automated Integrated Model for Earned Value measure (AIM: EVm)

Earned Value Management (EVM) is a better way of managing project on the weekly or monthly basis. The EVM allows managers to be on top of their project budgets and deadlines. When managers complete projects on time, and within budget, the projects are said to have earned value. With the increased number of information available […]

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Mobile Location Based Insights

Pelmorex (Owner of the brands TheWeatherNetwork and MeteoMedia) operates weather information services accessed by all Canadians on desktop computers, mobile apps and Television. The mobile app is one of the most downloaded and used app in the country in both Apple/Google ecosystem of smart phones/tablets. Continous and accurate location data is collected from the apps […]

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Data Science Search Engine Optimization

Search is an important way people get the information they want. Whether we want to find more content about a specific topic, or get general information on a subject, search engines lie at the core of this process. At Flipp, search plays a crucial role in the overall user experience and drives relevant content to […]

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Temporal Framework for Natural Language Processing with Convolutional Networks

In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different […]

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Optimizing Docto’s Predictive models using Machine Learning Techniques

The proposed research project aims to increase the accuracy of a model used to predict future glucose levels 1 hour ahead of time, with ~90% accuracy. This model should be able to detect, ahead of time, situations where the blood-glucose level is either too high or too low which could lead to complications for the […]

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