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Browsing Graduate Projects (Electrical and Computer Engineering) by Title

Browsing Graduate Projects (Electrical and Computer Engineering) by Title

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  • Data Visualization of Graph-Based Threat Detection System 
    Nikseresht, Ilnaz (2021-08-28)
    The Activity and Event Network Model (AEN) is a new security knowledge graph that leverages large dynamic uncertain graph theory to capture and analyze stealthy and long-term attack patterns. Because the graph is expected ...
  • A Decentralized Application for Location Tracking: dApp GPS Tracker 
    Padala, Sainath (2022-02-08)
    Ensuring the safety of the family members is always a Parent’s priority. Nowadays, a mobile phone is a necessary gadget present with every person. It will be a lot easier if a Parent can ensure the family’s security right ...
  • Deep Learning for Electrocardiogram (ECG) Identification 
    Tian, Ziyi (2020-05-22)
    In this report, we describe three architectures based on deep learning for electrocardiogram (ECG) identification. Specially, a class of neural network-convolutional network-is used both to extract features from ECG signals ...
  • Deep Learning for Handwritten Digits Recognition Using MATLAB Toolbox 
    Chen, JiaCong (2019-12-10)
    In this report, we describe several neural network architectures for the classification of handwritten digits. In particular, our attention is focused on the class of convolutional neural networks (CNNs) for performance ...
  • Deep Packet Inspection using Snort 
    Hafeez, Saad (2016-09-12)
    Internet traffic analysis is of key interest to network designers, as efficient analysis leads to more efficient and fault-tolerant networks. Internet traffic can be analysed in different ways to perform tasks such as ...
  • 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 ...
  • Deploying UAV Base Stations in Communication Network Using Machine Learning 
    Zhong, Xukai (2019-12-21)
    Today has witnessed a constantly increasing demand for high-quality wireless communications services. Moreover, the quality of service (QoS) requirement of future 5G and beyond cellular networks leads to the possible use ...
  • Design and Development of a Lab-Scale Wildfire Ember Simulator 
    Sawant, Aniruddh (2022-04-29)
    Wildfires can be caused by natural phenomena like lightning or can be man-made. This fire can spread rapidly destroying forests and urban wildlands. One of the main causes for the spread of wildfires is embers or firebrands. ...
  • Design and Implementation of Heuristic based Phishing detection technique 
    Patel, Jaynish (2018-08-08)
    In today’s world, the internet has brought a tremendous change in e-commerce aspect of people’s lives. However, it is prone to a wide variety of security attacks. One of the most dangerous security threats is phishing. ...
  • 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 ...
  • Detection of malicious Encrypted Web Traffic using Machine Learning 
    Shah, Jay (2018-11-15)
    An increasing amount of web traffic is currently encrypted using HTTPS. While most of the HTTPS traffic is legitimate, a growing slice is generated by malware. The use of the HTTPS protocol by malware makes its detection ...
  • Displacement Data Processing for ARFI Imaging 
    Onyia, Jude (2022-04-28)
    Shear Wave Elastography (SWE) is an ultrasound imaging application that aims to estimate bio-mechanical properties of tissues, such as the Young’s modulus, within an imaged area of interest. The SWE process entails tracking ...
  • A Dual Tank High Frequency Isolated LCL Series Resonant Converter: Design, Simulation, and Experimental Results 
    Bhatt, Nirav (2017-08-09)
    Power electronics is a vital component of the power conditioning (PC) system in today’s era. Resonant power converters are an integral part of the power electronic interface that are required for applications like renewable ...
  • DV-Hop localization algorithms in wireless sensor networks 
    Du, Xiaoxi (2016-03-30)
    Localization algorithms are becoming more and more important in wireless sensor networks (WSNs). Localization algorithms can be classified into two categories: range-based and range-free. Distance vector-hop (DV-Hop) is a ...
  • Early Prediction of Battery Cycle Life Using Machine Learning 
    Liu, Wenmeng (2021-01-26)
    Lithium-ion batteries are widely used in transportation and vehicle electrification because of their low cost, high-energy density, and long lifetime. However, aging, complex nonlinear degradation, and diverse operation ...
  • An ECG Monitor with Bluetooth Low Energy 
    Xu, Lan (2015-10-27)
    Though there have been a number of instruments for heart condition monitoring, few of them is suitable for individual portable use, which makes the expenditure of related healthcare extremely high with the increasing number ...
  • ECG Parameter Extraction and Motion Artifact Detection 
    Li, Tianyang (2016-08-09)
    Cardiovascular disease is the leading cause of death in the world. Long-term monitoring of heart condition through electrocardiogram (ECG) will provide vital information for prevention, early warning and detection of fatal ...
  • Edgebreaker Based Triangle Mesh-Coding Method 
    Tang, Yue (2016-07-12)
    The Edgebreaker triangle mesh-coding method is presented along with a software implementation of the method developed by the author. The software consists of two programs. The first program performs the mesh compression, ...
  • Effect of Geometry and Gate Voltage on the Conductance of an Ideal Strip of Graphene 
    Momtazbaf, Hadi (2015-04-22)
    One of the enormous challenges in the transistor fabrication industry is to find materials with suitable electronic properties. On the other hand, the size of electronic systems is being reduced every day. Therefore, ...
  • 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 ...

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