Master of Science in Information Technology Project Reports (Concordia University of Edmonton)
Items in this Collection
- 1Adeola Ayandeyi
- 1Adewale, Adesina
- 1Ajinomisanghan, Moyegbemi
- 1Alao, Ibukunoluwa Alexander
- 1Beshay, Nabil
- 1Boukrich, Ali
- 6machine learning
- 4COVID-19
- 4machine learning classifiers
- 3TelecarePLUS
- 3deep learning
- 3digital healthcare
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Deep learning based models for software effort estimation using story points in agile environments
Download2021-09-01
In the era of agile software development methodologies, traditional planning and software effort estimation methods are replaced to meet customer’s satisfaction in agile environments. However, software effort estimation remains a challenge. Although teams have achieved better accuracy in...
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2023
The "Development of Diet & Fitness Tracking App" report presents a detailed account of the conception, design, and implementation of a cutting-edge mobile application aimed at revolutionizing personal health management. With the increasing awareness of the importance of a balanced diet and...
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2022
With the easing of COVID-19 regulations in Alberta, people are gradually back to their normal life. However, we cannot be careless, since there is a possibility for a new variant. The technology could help to prevent the further spread of the pandemic. In addition, in terms of contact tracing,...
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2022
The project for employee leave management system focuses on integrating a number of procedures and addressing a few issues with employee management. The project aims to automate and streamline the administration of employee data, leave requests, and leave grants. Employees must have a...
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Evaluation and development of Artificial Intelligence tools to assess COVID-19 Severe Acute4 Respiratory Syndrome from chest imaging
Download2021-09-01
Chest CT is being more widely used as a diagnostic test for COVID-19 Severe Acute Respiratory Syndrome-related lung disease. Artificial intelligence (AI) has the ability to assist in the rapid assessment of CT scans for COVID-19 Severe Acute Respiratory Syndrome findings from other clinical...
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2023
Patel, Dhruvkumar Girishchandra
Facial emotion recognition has gained substantial attention in past decade’s as a key factor for human-computer interaction. Emotion recognition refers to the ability to identify and understand human emotions based on various cues, such as facial expressions, voice tone, body language, and...
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2022
Fitness trackers can help improve physical activity, and thereby reduce the risksof diseases such as diabetes, obesity, as well as hypertension. Despite these health related benefits, the way these devices are being used by the end user, play a crucial role for the persistent success of fitness...
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2022
Falling events are the leading cause of fatal and non-fatal injuries among elderly, and without timely medical care people unable to recover by themselves, it may mean suffering from serious consequences. Designing reliable fall detection systems may help reduce the time for a person to receive...
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2022
This project analyses the global consequences to crop yields, production, and risk of hunger of linked socio-economic and climate scenarios. Potential impacts of climate change are estimated for climate change scenarios developed from the HadCM3 and HADCM1global climate model. Projected changes...
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2023
This document presents the design of a web-based voting system powered by Hyperledger Fabric, a permissioned blockchain framework, aiming to leverage blockchain’s decentralized and immutable features to address the limitations of traditional voting. The architecture includes multiple...