To enhance translation of the intention-physical activity gap amongst Canadian adults by integrating the multi-process action control framework into the ParticipACTION app.

Regular physical activity is essential for optimal physical and mental health however the majority of Canadians aren’t meeting physical activity recommendations. The ParticipACTION app aims to assist Canadians in becoming more active and the purpose of this research program is to enhance the app’s impact by informing it with the Multi-Process Action Control (M-PAC) Framework. […]

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Maritime forecasting using machine learning and deep learning

The project contributes to the statistical, machine learning and deep learning fields from different aspects. First, we implement, document, and compare statistical, machine learning and deep learning solution for maritime market forecasting. This is the first attempt to utilize machine learning for this purpose. Moreover, we will present an enhanced explainable method that describes the […]

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Developing innovative products for the construction & marine applications using FRP waste

Today, construction activities have resulted in the depletion of vast amounts of non-renewable resources that cause climate change which is one of the most pressing environmental challenges of our day. The construction industry is a major source of greenhouse gas emissions globally. Sustainable construction is now mainstream, necessitating the investigation of environment friendly construction material […]

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Nurturing Landscapes: Bringing together ecology, education and design in the creation of stormwater management systems on school grounds

This research looks to explore the collaboration of ecology, education and design in the creation of built and natural systems to sustainably manage and educate about storm/rain water on school grounds. The research will be conducted through the analysis of 3 key case studies of schoolyard storm/rain water management projects that represent a successful, progressive […]

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Understanding Indo Canadian Female Challenges After Covid-19

Many skilled women workers are going through unemployment phase after Covid-19. There few are under employment. These skilled, and educated professionals are facing domestic work pressure, and economic challenges, where the secauses unhappiness in their life. This Covid-19have impacted badly to the life of IndoCanadians, particularly women as a vulnerable group. However, this research addresses […]

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Adaptive Visualization for Analysis of Customer Behaviour

Companies with a strong online presence are seeking to increase users’ engagement by adding recommendation and prediction algorithms to their websites. These algorithms can for example predict which users’ actions are more likely to happen and which users’ actions are likely more profitable. Companies use such algorithms to tailor the content of their websites based […]

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Survival of Indigenous Healing Systems in Colonial India

We will study the efforts of traditional physicians to preserve their Indigenous healing system against the oppressive forces of western colonialism. Ayurveda is one of the oldest holistic healing systems in the world and has been practiced in India for more than 2,000 years. However, under the British rule and the spread of colonial medicine […]

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Predicting Perfect Matches Between Organizations

Successful partnerships between non-profit organizations and funders are fundamental for organizations’ abilities to concentrate on their mission, and for founders to see their philanthropic investments align with their values and make real impacts. Matching founders and organizations has traditionally been done informally through personal connections, networks, and expensive prospecting software and databases. Just like a […]

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Rainy Day Solutions: Enhancing Rain Gardens

With over 80% of the Canadian population dwelling in urban centers, design for sustainable urban environments is tantamount to the health and happiness of 21st century Canadians. The City of Victoria (CoV) would like to incorporate green infrastructure into their integrated storm water management plan. Over the past four years, nine rain gardens have been […]

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Targeted marketing procedures by data mining operations on Social Networks.

Built on Web 2.0 principles, LimeSpot Solution Inc. will work with intern(s) to research on multiple modules that cover a variety of different aspects of applicability of social network in marketing and e-commerce: user driven, provider driven, device driven, and multiple providers. The research will help the partner organization to improve upon the current offerings […]

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Leading Indicator Generation from Cryptocurrency to Detect Fraud

The goal is to understand the behavior of cryptocurrency chains when fraud amounts are transferred from the MasterCard network to cryptocurrency exchanges. Based on this understanding, we need to come up with an Index score or Leading indicators of certain pattern that indicates high fraudulent activity in the MasterCard network. We need to build such […]

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