• Vulnerability Detection in Assembly Code Using Deep Learning 

  Thangavelu, Karthiga (2023-03-01)

  Language modelling for source code is a state-of-the-art method which is developing significantly in recent years. Its applications are found in code completion, translating programming languages from one to another, ...
• COVID-19 Prediction Using Supervised Machine Learning 

  Ali, Irfan (2023-01-16)

  Early diagnosis is important to stop the spread of illnesses that endanger human life. COVID-19 is a contagious disease that has mutated into multiple variants and created a global epidemic that requires immediate diagnosis. ...
• Automatic Detection and Multi-Class Classification of COVID-19, Pneumonia, and Tuberculosis Diseases in Chest X-ray Images Using Deep Learning Techniques 

  Metwally, Mohamed Ali Hashem (2022-12-12)

  Recent technology advancements have set the stage for deep learning-based approaches to be applied in nearly every aspect of life. The precision of deep learning techniques makes it feasible to be utilized in the medical ...
• COVID-19 Classification in Chest CT Images Using Deep Convolution Neural Networks 

  Elgadi, Malek (2022-11-14)

  The coronavirus disease (COVID-19) has rapidly spread over the world since the end of 2019. The immediate and accurate diagnosis of COVID-19 is essential for improving the prognosis of this disease and reducing the ...
• Blockchain-based, Privacy-preserving, First Price Sealed Bid Auction (FPSBA) Verifiable by Participants 

  Ghasaei, Ehsan (2022-10-12)

  Auction is becoming a prevalent method for trading goods. Bidding-based auctions can assist sellers and buyers in identifying the real value of the asset. Utilizing the internet, auctions have been modernized and become ...
• Evaluation of a Graphical Attack Fingerprint Model and Comparison against the Snort IDS 

  Saropourian, Behnaz (2022-09-26)

  Today, the number of targeted attacks has increased extremely. The attacks have increased in sophistication and diversity. It is imperative to deploy effective and proactive countermeasures that can help mitigate the threats ...
• Covid-19 Twitter Sentiment Analysis Using Machine Learning 

  Ali, Muhammad (2022-09-22)
• A Chrome Plugin to Detect Reflected XSS Attacks 

  Dutt, Sanjay (2022-09-12)

  Nowadays, web applications have become one of the standard platforms for delivering and representing data and services released over the World Wide Web. Since web applications are more and more utilized for security-critical ...
• Network-on-Chip Turn-aware application mapping optimization using Reinforcement Learning 

  Shammasi, Mohammadmehdi (2022-09-06)

  In todays advanced SoCs (System-on-Chip), power efficiency is a crucial concern. As chips get denser and more complicated, power consumption is becoming the bottleneck in further enhancing system’s performance. Serving as ...
• Investigation of Neural ODE LSTM for RSSI Indoor Localization 

  Chang, Charles (2022-08-31)

  Traditionally, indoor localization using received signal strength indicator (RSSI) measurements ignores the elapsed time between positions. This project investigates the use of elapsed time between positions as a feature ...
• Detection of COVID-19 disease from X-ray images using capsule-based network 

  Ashtiani Haghighi, Donya (2022-08-29)

  The coronavirus (COVID-19) disease has spread abruptly all over the world since the end of 2019. The rapid and accurate diagnosis of COVID-19 is crucial for a better prognosis of this disease and breaking the chain of ...
• Inception-Based U-Net in Magnetic Resonance Image Reconstruction 

  Vafay Eslahi, Elmira (2022-08-27)

  Magnetic resonance imaging (MRI) is one of the best imaging techniques that produce high-quality images of objects. The long scan time is one of the biggest challenges in MRI acquisitions. To address this challenge, many ...
• Repeater design based on mixer and re-modulation scheme 

  Li, Junyan (2022-08-24)

  Wireless walkie-talkies play an important role in life. But due to terrain obstruction, the wireless walkie-talkie system's communication range is often reduced. To mitigate the terrain impact, two different repeater ...
• Emotion Recognition from Body Motion 

  Ebdali Takalloo, Laleh (2022-08-18)

  Understanding human emotions has become a research trend and practical topic in recent decades. There are much research having good result on detecting human emotions with facial expressions, speech and text. Recognizing ...
• Intelligent Endpoint-based Ransomware Detection Framework 

  Okpongete, Faith (2022-08-18)

  Over the past couple of decades, ransomware attacks have increased significantly and that calls for more aggressive efforts in building robust detection models to detect and reduce the impact of the attacks. Once attacked, ...
• A Hybrid Dynamic Programming Algorithm for Solving the 0-1 Knapsack Problem 

  Xing, Feifan (2022-08-17)

  The 0-1 knapsack problem is a classic non-deterministic polynomial complete problem and has a wide range of applications in many fields. It is a multistage decision problem and can be solved using dynamic programming. ...
• Malicious URL Detection Using Machine Learning 

  Syed, Abdul Aleem (2022-08-08)

  The detection of malicious Uniform Resource Locators (URLs) is important for network and cyber security. The Internet has long been a platform for online criminal activity. In this project, supervised Machine Learning (ML) ...
• Denoising Task-Based Functional Magnetic Resonance Imaging Data Using Hybrid Deep Neural Network Model 

  Kashfolayat, Sahar (2022-06-17)

  Error management is one of the most important concerns in medical science. A doctor's ability to make an accurate diagnosis can save a patient's life. Therefore, it is essential that doctors have access to accurate medical ...
• Performance Analysis of a Graph-based Anomaly Detector and the Zeek Intrusion Detection System 

  Roshandel, Somayeh (2022-05-16)

  Due to the increase in the number of cyber security attacks and malicious behaviours, different sectors of society are required to mitigate the risk of being targeted by threat actors. Network Intrusion Detection Systems ...
• Intrusion Detection Using Machine Learning 

  Janwari, Adnan Athar (2022-05-02)

  Since the phenomenal growth in the usage of computer networks, concerns such as service availability, data integrity, and data confidentiality are becoming increasingly important. As a result, the network administrator ...

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