Outputs (340)

UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior (2025)
Journal Article

Image dehazing techniques aim to enhance contrast and restore details, which are essential for preserving visual information and improving image processing accuracy. Existing methods may struggle to capture the physical characteristics of images full... Read More about UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior.

Automated ecoacoustic monitoring: Evaluating classifier performance for common cuckoo (cuculus canorus) detection (2025)
Presentation / Conference Contribution

This study evaluates the effectiveness of automated bioacoustic classifiers in detecting the vocal activity of the common cuckoo (Cuculus canorus) within the Chornobyl Exclusion Zone (CEZ). Data were collected from 12 recording locations using Wildli... Read More about Automated ecoacoustic monitoring: Evaluating classifier performance for common cuckoo (cuculus canorus) detection.

Verified implementations of the Sottek psychoacoustic Hearing Model standardised sound quality metrics (ECMA-418-2 loudness, roughness and tonality (2025)
Presentation / Conference Contribution

Metrics for describing perceptual sound qualities have previously been developed from a variety of psychoa- coustic models. The Sottek Hearing Model (SHM) of- fers a holistic approach to characterising perceptual sound quality and the SHM metrics for... Read More about Verified implementations of the Sottek psychoacoustic Hearing Model standardised sound quality metrics (ECMA-418-2 loudness, roughness and tonality.

Comparative Evaluation of Machine Learning and Signature-Based NIDS for Multi-Class and Binary Threat Detection (2025)
Presentation / Conference Contribution

Network Intrusion Detection Systems (NIDS) are essential in safeguarding networks from evolving cyber threats. Traditional signature-based NIDS, such as Snort, struggle with zero-day attacks and lack adaptability. This study presents a unified, empir... Read More about Comparative Evaluation of Machine Learning and Signature-Based NIDS for Multi-Class and Binary Threat Detection.

Analyzing and Predicting Housing Affordability Trends in the UK Using Machine Learning (2025)
Presentation / Conference Contribution

Housing affordability has become an increasingly critical issue in the United Kingdom, driven by rising house prices and rent levels that outpace income growth. This study leverages machine learning and data-driven techniques to analyse and predict a... Read More about Analyzing and Predicting Housing Affordability Trends in the UK Using Machine Learning.

Understanding Public Perceptions and Behaviours Towards COVID-19 Vaccination: A Multifaceted Analysis (2025)
Presentation / Conference Contribution

The rapid growth of social media platforms has led to an overwhelming influx of unstructured textual data, which provides valuable insights into public sentiment. However, analyzing this data presents significant challenges due to its informal langua... Read More about Understanding Public Perceptions and Behaviours Towards COVID-19 Vaccination: A Multifaceted Analysis.

AIMA: An Agentic AI Approach to Vulnerability Scanning of Higher-Education Assessment (2025)
Presentation / Conference Contribution

Generative artificial intelligence systems now draft essays, analyze data, and produce multimodal artefacts with near-human proficiency, placing coursework validity at risk across disciplines. Existing safeguards either detect misconduct after the fa... Read More about AIMA: An Agentic AI Approach to Vulnerability Scanning of Higher-Education Assessment.

The Effect of Blade Crop and Skew on the Interaction Tones Produced by a Contra-Rotating Unmanned Aerial Vehicle Rotor System (2025)
Journal Article

Contra-rotating rotor systems are commonly used on unmanned aerial vehicles (UAVs). The periodic unsteady loading on the blades of these rotor systems due to their interaction with the flow field of the adjacent rotor produces a mul... Read More about The Effect of Blade Crop and Skew on the Interaction Tones Produced by a Contra-Rotating Unmanned Aerial Vehicle Rotor System.

Determining Management Strategies to Control Ash Dieback Disease Through the Study of Molecular and Environmental Interactions (2025)
Journal Article

Ash dieback (ADB) disease, caused by the devastating fungus Hymenoscyphus fraxineus Baral, Queloz & Hosoya, currently poses a significant threat to forest health by decreasing the ash population across the UK and Europe. In our study, we evaluated ho... Read More about Determining Management Strategies to Control Ash Dieback Disease Through the Study of Molecular and Environmental Interactions.

Overcoming the Long-Term Barriers to Digital Twinning Usage in the UK Construction Industry (2025)
Presentation / Conference Contribution

Adopting Digital Twinning (DT) technology will help the construction industry unlock a wealth of economical, environmental, and societal benefits. These have been outlined in the extant literature, but all largely focus on the immediate benefits attr... Read More about Overcoming the Long-Term Barriers to Digital Twinning Usage in the UK Construction Industry.