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- 11Concordia University of Edmonton
- 6Concordia University of Edmonton/Master of Science in Information Technology Project Reports (Concordia University of Edmonton)
- 3Concordia University of Edmonton/Master of Information Systems Security Management (MISSM) and Master of Information Systems Assurance Management (MISAM) Project Reports (Concordia University of Edmonton)
- 2Concordia University of Edmonton/Master of Education Research Project Final Reports (Concordia University of Edmonton)
- 1Avneesh
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- 1Farouk, Fathima Shakoora
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A unified view of epidemiological modelling and artificial intelligence-based approach to understanding the COVID-19 disease spread for supporting public policy decisions
Download2022
The Covid-19 epidemic has emerged as one of the most concerning global public health catastrophes of the twenty-first century, highlighting the critical need for robust forecasting approaches for disease identification, alleviation, and prevention, among other things. Forecasting is one of the...
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2021-06-23
Ramani, Sushmitha Suruliyandi, Naralasetty, Manikanta, Avneesh, Kothakapu, Ambica, Rudraraju, Shainija, Nasina, Sai Harish, Metla, Sirisha
Security threats in Android applications have grown in sync with Android’s growth. Machine leaning can be used to add functionality to traditional antivirus systems. Such an approach necessitates the identification and labelling of a large amount of harmful and benign code in advance to use it...
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2021-04-01
Oha, Chibueze Victor, Farouk, Fathima Shakoora, Patel, Pujan Pankaj, Meka, Prithvi, Nekkanti, Sowmya, Nayini, Bhageerath, Carvalho, Smit Xavier, Desai, Nisarg, Patel, Manishkumar
Connected devices are penetrating the market with an unprecedented speed. Networks that carry Internet of Things (IoT) traffic need highly adaptable tools for traffic analysis in order to detect and suppress malicious agents. This has prompted researchers to explore the various benefits machine...
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Behavioral-based classification and identification of ransomware variants using machine learning
Download2018
Due to the changing behavior of ransomware, traditional classification and detection techniques do not accurately detect new variants of ransomware. Attackers use polymorphic and metamorphic techniques to avoid detection of signature -based systems. We use machine learning classification to...
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2023
Chat-bots could be considered as one of widely used technologies since it increases the business efficiency and throughput. Proposed project is to develop a web based chat-bot that is capable of booking appointments via the website Telecare Plus. Machine learning techniques are used to provide an...
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2022
Every living species has cells and based on those cells scientists observe and make some predictions or observations. The identification and classification of cells is a highly crucial part of medical research and involves human efforts to a huge extent. Due to human involvement, the research may...
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2020
Healthcare Fraud is an act that causes a loss of billions of dollars every year across the world. The impact of healthcare fraud is very far-reaching and affects the efficiency of healthcare systems. To thwart the perpetrators early on, intelligent fraud detection technologies are required to...
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2021-06-01
Palakonda, Vishal, Palacharla, Sri Krishna Kiriti, Mall, Uttam Kumar
Machine learning (ML) has numerous applications, one being able to predict or forecast the time series. Financial world was always interested in the stock market forecast, and ML tools has their niche in trading. Researchers across various fields have tried creating a faultproof method in...
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2022
Many people have been interested in music recognition. The automated transcription of musical compositions and the identification of sound sources, such as the sort of instruments used, have taken a lot of time and work. With the rise of personal computers and multimedia systems in recent years,...
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2021-09-01
Lately, technological advancement has made it possible with the accessibility of enormous annotated datasets and artificial intelligence breakthroughs to have sparked a spectacular rise of precise object recognition and analysis. This thesis specifies the development and implementation...