Computer Vision for Animal Tracking and Monitoring

OneCup uses Computer Vision to uniquely identify livestock and wildlife from almost any angle, effectively Face ID for animals, called 360 Live ID. We then track health, growth, activity, nutrition, and phenotypes with the ID. It is a revolutionary idea that will disrupt the agricultural industry. We call our AI for cattle BETSY, or Bovine […]

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Assessment of IT Distribution Channels in Canada

The distribution of IT products in Canada is complex and constantly changing, with dramatic transformation coming from new digital technologies, changing customer expectations and the constant presence of global competitors. This research will assess the IT Distribution Channels in Canada to understand the changes, and to identify the key attributes for survival and prosperity going […]

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Towards Representation of Collective Memory: A Holonic Multi-Agent System

Collective memory helps societies access and learn from the knowledge that they have gained through experience in the past, and make better informed decisions at present. When collective memory is explicit and accessible, it facilitates knowledge transfer within the society, helps reach decisions faster, and contributes to preparation for risks. However, access to collective memory […]

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An Extended Reality Social-Emotional Development Companion Agent Framework and Parental Support for Children

Parenting is challenged by the pace of change in information technology, impacting child development and parent-child relationships. Children learn and grow in online environments and their development, perspectives and understanding of the world are impacted by multiple communities, which creates risks to safety, relationships and experiences. Supporting technologies will help bridge this gap, intervening with […]

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Automated Forensic Artifacts Collection Solution

Cyber attackers can sometimes compromise endpoint machines. They may perform malicious actions that will damage the company. As a result, it is necessary to collect forensics artifacts (Information from the endpoint machine that can be used to trace the attackers’ behaviors) from the compromised machine for investigation. With the information we have, we may reconstruct […]

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Exploring Historic Black Nova Scotian Experiences with Mathematics Assessment

The overall purpose of this research is to explore the ways diagnostic assessments enable or disable growth in mathematics understanding for children most impacted by colonialism, in particular the Historical Black community in Nova Scotia. This research stems from ongoing collaborative relationships with the Delmore Buddy Daye Learning Institute (DBDLI) that has focused on strategies […]

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Ethical Design Things: More-than-Human Ethics in Design Practice

This research addresses the ethical issues that abound in professional design practice. If these issues are identified, they are seldom discussed and mitigated. As such, this research aims to 1) observe human-centered design in action, 2) develop a series of tools, artifacts, and methods—what I refer to as ethical design things—to foreground matters of ethics […]

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Identification of early markers of developmental epigenetic anomalies in bovine production

Bovine production uses a combination of Assisted Reproductive Techniques (ARTs) to improve yield and reduce generation time. In bovine production and in clinical settings, ARTs are associated with elevated rates of developmental disorders in offspring, leading to animal distress, high costs and delayed results. These include Large Offspring Syndrome (LOS) and musculoskeletal anomalies, reported to […]

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Understanding juvenile salmon passage at newly created breaches in two major barriers in the Fraser River estuary, BC.

Estuaries are crucial stopover areas for juvenile salmon during outmigration and especially for Chinook salmon who can reside in this habitat for over a month. Many populations of Chinook salmon from the Pacific Northwest are threatened and endangered making conservation important for this species. Currently, managers are investing significant public funds in estuary restoration and […]

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Implementation of Machine Vision Algorithms in a Decision Support System for Variable Crop Management

The proposed research aims to develop machine vision-based decision support system for variable crop management. This research will deploy the deep learning models for plant/weed detection, plant growth indicators and soil organic matter assessment. The information retrieved from these models will be used to devise variable rate management map to optimize the consumption of agrochemical […]

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Development of science-based criteria to assess the effectiveness of the ecological restoration of peatlands

Peatlands are freshwater wetlands which, in their natural (pristine) state, provide a specific habitat for many species of flora and fauna and several ecosystem services useful to human populations, such as the sequestration of carbon in accumulated peat (peatlands are a major global carbon sink). However, like many other wetlands, they are often disturbed and […]

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