Machine Learning in Business Valuation Using Merger and Acquisition Data

Business valuation deals with the estimation of a company’s value, using information from markets and the company’s financial statements. Such valuation is important when assessing mergers and acquisitions (M&A) of companies or the sale of an owner’s share in a business. Three different approaches are commonly used for business valuation: the income approach (estimating future […]

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A Multi-Case Study to Advancing Accounting, Financial Reporting, and Performance Management Strategies

The role of accountants, especially in today’s fast changing data-driven world, is continually evolving. Responding to the technological advancements as well as to the increasing amounts and complexity of data available, accountants need to develop skills that go beyond their traditional training. Businesses and their accounting departments need to be able to not only collect […]

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A Toolset to facilitate transparent exchange and querying of digitizeddocumen

Digitizing paper records facilitates efficient storage and lookup of information. It is o,lten necessary to support advanced keyword-based querying features that allow extraction of specific information and filtering of digitized documents. However, this often requires manual intervention since records might have vastly different formats even though they essentially contain the same information. This makes digitization […]

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Statistical machine learning methods applied to ATB data for debt collection optimization, small business lending decision modelling, and open banking initiatives

The intern will research new modelling technology to determine if the new models can make a significant improvement in servicing customers for loan approvals, debt collections, and open banking. The intern will work closely with the partner to understand the banking process and opportunity. The partner organization will receive several benefits from working with the […]

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Network security and machine learning development projects

The main objectives of this one-year study are to enhance systems in data management and integration in three ways: 1) create secure networks that can support BYOD; 2) create a data pipeline system for ETL; and 3) integrate ML content generation into a content management system. An Agile methodology will be used to plan and […]

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Dynamics of Viscous Fingering in Porous Media in the Presence of Injected or In Situ Generated Particles

In general, when a more viscous fluid is displaced by a less viscous one, instabilities grow at the interface between them which are referred to as viscous fingering. Viscous fingering is of paramount importance in many applications including, but not limited to, contamination transport in underground waters, enhanced oil recovery, filtration, and chromatographic separation of […]

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Developing a mobile screening tool that could predict impairment by leveraging the power of machine learning models

There is a growing need for law enforcement agencies and safety sensitive workplace environments to be able to evaluate impairment. Impairment due to mental cognitive deficits, drugs or alcohol use, prescription medications, or fatigue could all limit a person’s ability to perform a hazardous task safely. Current testing tools utilize saliva, breath, blood or urine […]

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Summer-season streamflow prediction model for the Oldman River Basin

Reliable monthly and seasonal streamflow predictions are essential for optimal planning of water resources, particularly for reservoir operation and planning applications. Streamflow predictions can also improve water use efficiency and provide early drought and flood warning. The importance of streamflow forecasting is rising with climate change, causing more frequent and hazardous flood and drought events. […]

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