An automated system to identify and extract key structural components in academic written texts or genres

To streamline knowledge acquisition, indexing, dissemination, and synthesis—especially important to the future of libraries—a fundamental understanding of knowledge storage and communication is required. In a textual body of knowledge, relevant qualities include layout and structure; headings, chapters, sections, and paragraphs; figures, tables, lists, captions, and illustrations; authorship information and references; and, most importantly, the relationship […]

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Fault Detection in Cables: A Machine-Learning Approach

Fault location identification is one of the most common, but challenging, activities that power operators face within industrial plants. Once a fault occurs in the network, protective relays isolate the affected area from the system; then, maintenance crew use special tools and patrol the area to pinpoint the fault. This process may take a lot […]

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Integration of Renewable Energy Systems to Reduce Greenhouse Gas Emissions

Currently FCL obtains its power from SaskPower, which is the main utility company in Saskatchewan. SaskPower produces the bulk of electricity through burning fossil fuel. To change this SaskPower is encouraging the public to install renewable energy systems and connect to their electrical grid. FCL will take advantage of SaskPower’s programs and install renewable energy […]

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Secure blockchain technologies

In the recent years, blockchain technologies have shown promise as infrastructure for decentralized trustless anonymous digital asset exchange. The technology promises to transform how the data is shared in many areas including financial sector, insurance and gaming industries. Yet several obstacles prevent mainstream adoption of this technology – one of these challenges is security. To […]

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A Realistic Machine Learning-based Model for Failure Prediction and Propagation in Smart Grid Networks

Cyber-Physical Systems (CPS) combine communication and information technology functions to the physical components of a system for purposes of monitoring, controlling, and automation. The power grid is becoming one of the largest CPS, where grid components are controlled based on the synergies in the cyberspace. CPS hold a great promise to improve the efficiency and […]

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Crowdsensing-based Wireless Indoor Localization using an Innovative AI & ML Algorithm

Smartphone based indoor navigation services are desperately needed in an indoor GPS-denied environment, such as in Combat-zone Surveillance, Health Monitoring, Fire Detection, etc. The Receive Signal Strength (RSS) based algorithms are commonly used in indoor localization, which rely on the WiFi fingerprint data built by the Mobile Crowdsensing approach. Conventional statistical and probability techniques are […]

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Ensemble-based Dimensionality Reduction Model for Wireless Time-Series

The new wireless network technology will provide users with a higher communication quality. However, we will face two critical problems: the wireless traffic will increase considerably, and the wireless signals will contain noise. The Wifi signals are represented as time series, but processing and removing noise from such huge-volume, high-dimensional and complex data pose great […]

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AI-Blockchain integration to ensure explainability, accountability, traceability and reproducibility (EATR) in mission critical systems

This project is an effort to integrate two of the emerging technologies of our time, i.e., Artificial Intelligence and Blockchain. The purpose of this integration is to overcome the drawbacks of individual technologies and work in coherence for mutual benefits. Most of the current AI systems currently deployed are black boxes and they do not […]

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Anomaly detection using AI/ML for Network Correction

Anomaly detection or outlier detection is a technique to identify rare items, observations or events which are differing significantly from most of the data or do not conform to the expected behavior of the system. Typically, anomalous data cause numerous problems in the computer networking and communication system. This project aims to develop an advanced […]

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Creative Artificial Intelligence in Interactive Mobile Systems

The large amount of information available today on the web brings many challenges to the information retrieval and artificial Intelligence communities. Moreover, personalization is a key component in today’s successful mobile websites and interactive applications. In order to be effective, these websites are required to provide visitors with the information they need without the complexity […]

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