• Real-Time Accuracy and Effectiveness of Computer Vision and Machine Learning in Vehicle Intent Prediction at T-Junctions 

  McCool, Simon (2024-06-18)

  This thesis introduces a systematic approach to devising and evaluating advanced methods for predicting vehicle intent at unsignalised UK T-junctions. The primary focus of this thesis revolves around exploring the application ...

• Computational Neuroscience Methods: Investigating the Relationship between Resting-State EEG Microstate Syntax and fMRI BOLD Signal 

  Haydock, David Graham (2024-05-20)

  Simultaneous recording of Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) has been used consistently in the past as a means of understanding EEG microstate function. EEG microstates are ...

• New Understanding of Galaxies, Quasars and Extra-galactic Shock Features using Optical Spectroscopy and Low-frequency Radio Observations 

  Arnaudova, Marina (2024-06-10)

  The study of Galaxy Formation & Evolution serves as a cornerstone in our quest to unravel the mysteries of the Universe. Galaxies are not only its building blocks, but also the key to understanding its vast complexities. ...

• A Network Security Solution to Manage and Increase Effectiveness of Servers 

  Khongsong, Ekkapop (2024-06-24)

  In today's digital landscape, the proliferation of cyber threats, particularly Denial-of-Service (DoS) attacks, underscores the critical need for advanced server monitoring systems. Traditional monitoring tools, while ...

• A Solution for Securing the Information Environment Inspired by Living Organisms and Biology 

  Pourmoafi, Seyedali (2024-07-17)

  Cyber-attacks have become increasingly frequent and severe in recent years, posing a significant threat to both economic and safety domains. In order to mitigate these threats, it is crucial to have a thorough understanding ...

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