5G-DetNet/TSN for Industrial Automation

The 4th industrial revolution, Industry 4.0, promises to create completely flexible production lines with automated-guided mobile robots. To enable this transformation, 1/0 devices (e.g., sensors and actuators) require not only a 5G Ultra-Reliable Low-Latency Communication (URLLC) but also a deterministic and bounded low latency with a guaranteed data delivery and extremely low data loss. In […]

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Reinforcement Learning Algorithm for Traffic Signal Control to Reduce GHG Emissions

Persistent traffic congestions which are varying in volume and duration in the cities are not just the source of frustration for drivers, but also one of the biggest sources of greenhouse gas emissions in the world. Those types of congestions cannot be adequately resolved by the traditional traffic signal controllers. Breeze Labs Inc. in cooperation […]

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Ammara Syeda

Due to the fact that the IT Department at the City of Saskatoon is facing multiple challenges due to COVID-19, the current service catalog and ticketing systems are lacking efficient self-service options, which are vital during this time. Using my previous UX knowledge, I hope to assess the current systems in place and collaborate with […]

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SSE – Ding

Metribook est une suite logicielle destinée à l’industrie de l’hospitalité, l’hôtellerie, la restauration, le commerce au détail et en ligne. Nous offrons entre autres un point de vente (POS) sur iPad et de multiple applications mobiles iOS et Web à notre aimable clientèle, pour faciliter la gestion de leurs tâches quotidiennes, incluant l’affichage numérique des […]

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Development of a heterogeneous data repository for rating broker recommendations in capital markets

Institutions recommend financial products and instruments from different brokers to their customers. The institutions are required to ensure that the trades serve their customer interests. The existing rule-based system results in high false positives. The recommendations that are identified as positives are scrutinized by financial analysts, which is costly and inefficient. The project will enhance […]

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Performance Evaluation for the Infer Engine–Optimization on Dynamic Advertising

Different from traditional online advertising, dynamic media campaigns show different impressions (visitors to a web page) with different advertisement based on the characteristics of the impression. Infer Engine is a system that optimizes bidding for media campaigns by maximizing total profit for every impression. The theoretical foundation of the Engine is a by statistics based […]

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Ghostlab ATM Services – RES0054461

This application focuses on Ghostlab’s ATM Project Ghost ATM software introduces financial sovereignty to the traditional ATM service. Ghostlab’s ATM software makes cryptocurrency as accessible as cash by removing the barriers of complexity users face when navigating contemporary cryptocurrency exchange. The ATM software harmonizes all necessary components needed to initiate and complete cryptocurrency exchange on […]

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Bio Window Knowledge: Personalizing Most Relevant Content from Big Data

Peer publications in the healthcare are many and held in silos. For researchers, the accessibility and utility of such publications can be problematic for a variety of reasons. Open access publication has addressed some of the issues, but the silos remain an issue. Electric Effect will provide a technology platform that breaks down the silo […]

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Data Automation of Raft Brew Labs – RS0054347

To ensure high product quality and continue driving gains against their multinational counterparts, independent craft beverage facilities require access to analytical data on their products, and yet most craft beverage facilities cannot afford the considerable costs of building, staffing and supplying their own in-house labs. Raft fills this need by serving as the centralized laboratory […]

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Building an automated text mining algorithm to extract location-based information from online documents

Text documents often include information pertaining to geographic locations. Mapping these place names to specific geographic locations (e.g., GIS) requires a considerable amount of human effort. This becomes challenging especially when the same place name is represented by multiple places, such as in the naming of waterbodies (e.g. lakes and rivers). In this project we […]

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