Détection des Anomalies des Mesures Météorologiques par Apprentissage Automatique

Le but du projet proposé consiste à développer des méthodes de détection des anomalies des mesures de températures et de précipitations enregistrées de façon automatique par les réseaux des membres de Solutions Mesonet. Les méthodes de détection qui seront proposées seront basées sur l’apprentissage automatique et plus particulièrement sur des modèlesstatistique spatio-temporels. Ces modèles permettront […]

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Governance, Diversity, and Social Justice – The 1991 Soviet Putsch attempt

The overarching goal of the Globalink research project is to gain a comprehensive understanding of the 1991 Soviet coup attempt by delving into the motivations, strategic decisions, and enduring implications of this pivotal event. The central research question guiding this endeavor will have answers to such questions: What were the underlying motivations and strategic decisions […]

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Automation of next generation photovoltaic measurement capabilities

The proposed research project at the Turak Functional Nanomaterials Research group at Concordia aims to enhance the efficiency of solar energy data measurement and analysis from emerging solar cell technologies. In a world increasingly focused on sustainable energy sources, efficient utilization of solar power is paramount. The lab manages vast data, including complex images of […]

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Photogrammetric speech motor control assessment

Speech sound disorders (SSDs) are an umbrella term for a range of speech difficulties characterised by a constellation of deficits. Identifying SSD subtypes can be supported by objectively analysing the child’s speech and facial movement patterns (kinematics). However, these movements can only be precisely and specifically measured using specialised instrumentation and software limited to the […]

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LR-FHSS-base network size estimation for dts-iot

The project’s goal is to find out if the network size estimator L-OCI, designed for direct-to satellite Internet of Things LoRa based scenarios, can be extended and/or adapted to work based on LR-FHSS. We want to see if they can handle many devices, and whether this combination is good or bad for a specific problem. […]

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L2M – Addressing Challenges in Healthcare Workforce Recruitment and Career Advancement: A Comprehensive Solution for Healthcare Organizations, Newcomers, and Non-medical Education Background Individuals

A Comprehensive Solution for Healthcare Organizations, Newcomers, and Non-medical Education Background Individuals. The product aims to address the root cause problem of bias in healthcare workforce recruitment and create a more inclusive and efficient healthcare workforce in Canada through the implementation of an AI-powered Healthcare Recruitment and Career Journey Solution.

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Learning Legible Human-Robot Handovers

Object handovers, which involve the action of giving and receiving objects, are an integral task for human-robot collaboration. Current human-to-robot handover systems rely on learning from sampled human expert trajectory data [5]. These data are usually difficult to gather, as two humans must hand over many different objects while recording the human motion with a […]

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Distributed and Partitioned Join Index

The overall goal of this internship is to improve the query capacity of the Informatica Data Vault data management system. In particular, better support for join operations, that combine the information of various tables of data warehousing appliactions, will be provided. For that, a specialized join index will be designed, developed and evaluated on standard […]

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Cloud Architect

The student will be working as a Cloud Architect with the Capstone project student team of four students from the Cloud Computing Program ( One Year post graduate diploma), Humber College starting January 2023 until April 2023.

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Linguistic Analysis Meets Artificial Intelligence: Developing Discourse Parsing Solutions for Dialogue Understanding

In recent years, there has been a noticeable surge in the prevalence of dialogues across various domains. The widespread adoption of dialogues, also facilitated by technologies such as ChatGPT, Bard, and Claude, underscores the considerable significance of comprehending their intricate structures. The analysis of dialogue structures offers invaluable benefits, particularly in sectors like healthcare, where […]

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