Visualization of IoT signals and optimization of sampling rate using machine learning

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. In addition, the transmission errors and malfunction of devices also necessitates checking the reliability/veracity of incoming data. The volume, velocity, and veracity are three Vs that are commonly describe in the […]

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Communicating Credentials: Building blockchain solutions for university degree verification

Document fraud is increasing and undermining the integrity of high quality education in Canada. With over 100,000 fake diplomas sold in the USA every year and legitimate universities incurring significant expenses protecting their intellectual property rights together with negative reputational spill-overs for legitimate universities, blockchain-based platforms, a technology in which transactions that are agreed to […]

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Development of an RNAi Approach to Control Wireworms on PEI

Wireworm (click beetle) has becoming a devastating pest for the potato industry in Prince Edward Island (PEI) and many places in the country and around the world. It is a soil born insect that can penetrate a large number of potato tubers, degrading their quality for processing. The problem is more difficult to control after […]

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Methods for efficient and effective multi-document reading comprehension in the legal domain

ROSS enables legal professionals by providing tools that harnesses the power of artificial intelligence to make the research process more efficient. Advances within machine learning and natural language computing enable systems to achieve close to human performance. Many state-of-the-art methods have not been applied to the legal domain, leaving opportunity to enable development for the […]

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Recommendation system for retail shopping

People rely on recommendations from other people, friends’ word, news reports, and travel guide and so forth. Recommendation systems assist people to sift through available books, web pages, restaurants, and grocery products. [16]. We want to build a recommendation flow in the retail industry to serve Canadian citizens better. The system will understand the customers […]

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Investigating and Facilitating users’ participation in trading social networks

“Trustply Tech Ltd.” will control the overall users’ acceptance process using this research project in a step-by-step manner, rather than “trial and error” way of dealing with users. This project allows the company to invest on its development efficiently, by targeting proper users with effective approaches. While implementing different versions of this social platform, the […]

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Data mining and personalized recommendation for an online luxury fashion retailer

The September is an online luxury retailer. In this research project, we are going to design and implement a personalized recommender system to enhance customers’ online shopping experiences. The past transaction data and browsing history as well as the demographic information of customers will be analyzed to identify the purchasing patterns, shopping trends and user […]

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Developing an Intelligent Conversational Agent Architecture related to the Banking Domain

This research project aims at creating a robust, efficient and reliable conversational agent for the banking domain that will offer a high level of performance in both key areas of conversational agent architecture: Natural Language Understanding and Response Generation. Natural language understanding approaches, retrieval-based models, as well as deep learning will be used to develop the […]

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Model development for membership analytics

This project will lay a foundation for Interior Savings Credit Union to better serve their membership by providing them with the means to discover significant membership groups within their large and complex database. This will be done through a combination of developing novel statistical techniques to discover the groups and writing the computer code needed […]

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eChaperone Computer Vision Application in Healthcare Analytics

Providing high quality healthcare service is important in a society not only for the patients but also for their families and friends, who devote time to take care of their loved ones. In order to meet the healthcare demands of citizens, especially for the baby booming generation, an increasing number of long term care facilities […]

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Deloitte IP Factory: dTRAX Contract Management

Manual contract analysis and management is a laborious task. dTrax is Deloitte’s managed solution to this problem—it uses machine learning to automate the arduous contract management process and help users gain further insight from contracts. Specifically, dTrax will be used to standardize the intake of legal contracts, generate and edit contracts within a web interface, […]

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Bringing Personalized Recommendation to the Legal Domain

Machine Learning has just started to be applied to the Legal Domain. ROSS Intelligence makes it possible for legal professionals to work faster and more effectively. Advanced Recommender Systems have not been previously applied in the Legal Domain. Yet state of the art models such as ones using Deep Collaborative Filtering have proven to be […]

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