Novel Ovulation Research-Recruitment Methods for an App (NORMA) Study

One purpose of the proposed research project is to contribute to the My Normative (MyN) app development by increasing the number of users on the app and maintaining long-term app usage. The second purpose is to verify the accuracy of the app’s menstrual cycle prediction in female persons of varying cycles less than or greater […]

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Online Data Imputation by Modified Mixture Density Networks

In the era of big data, software based on artificial intelligence has greatly improved the quality of people’s lives. Although data is not a scarce resource, the data we collected are usually incomplete due to many reasons, i.e. they contain some missing values. Simply deleting these missing data will not only cause great waste, but […]

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AI-driven approach for the cyber defence of additive manufacturing management system

Additive manufacturing is rapidly employing the Internet of Things and cyber-physical systems to facilitate its reliability and relieve human supervision. However, with 5G network and cloud computing intertwining with the physical machines placed locally, the service is vulnerable to prospective cyberattacks. Various researchers have already stressed the urgent need to ensure the users’ and businesses’ […]

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Fake User Detection

This project investigates whether a user’s entered information in e-commerce sites is fake or real. In order to achieve the goal of understanding and identifying fake users, data are to be collected, managed, and analyzed. In addition to using existing data from the e-commerce partner organization and some third-party data if available, the two major […]

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Ubiquitous vital sign monitoring with loss of balance detection

This project will develop a loss of balance detection system to enhance the iMD Research Vital Zenzer, which monitors vital user biometrics. Accelerometer signals from both waist and wrist-worn body locations will be analyzed to obtain key inputs for Machine Learning and AI algorithms. Such algorithms will be developed to adapt to changing user conditions […]

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Expert explanations via video: The key to unlocking scientific journal articles for STEM students?

Scientific research papers are complex, dense, and filled with jargon, so traditionally the valuable knowledge they contain has been accessible to only a handful of experts. SAGE publishing, one of the world’s largest academic publishers, and Dr. Adam Frost, a cognitive neuroscientist, independently created video formats that help scientists directly communicate their discoveries and practices […]

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Using a smart audio device, Tochie in a long term care home

This project will engage seniors, family members, and care staff, a total of 53 participants in a long-term care home to adopt a new technolopgydevice, Tochie for familyconnection. Participants will use the assistive audio speakers named Tochie over one month. Ongoing support and assistance will be provided to all participants during the one month to […]

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Data driven intelligent programming tutor

Korbit Technologies Inc. is developing an e-learning platform to teach artificial intelligence (AI), data science and coding skills. The student interacts with a virtual, personalized AI tutor, through a web-based chat interface. The main objective of this research project is to investigate how a personalized, data-driven learning experience based on the student’s profile, needs, and […]

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Deep Learning with Big Data for Innovation Acceleration

XLScout uses Natural Language Processing (NLP), Machine Learning (ML), and Innovation/Scientific principles to deliver actionable intelligence and accelerate innovation by analyzing large patent and research databases. The company is eliminating the pain of manually going through document and quickly providing relevant information to support data-driven strategic decisions. Presently XLScout hosts a data vault of over […]

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