Outputs (618)

Textile Mills: Introduction to Heritage Assets (2024)
Other
Miller, I. (2024). Textile Mills: Introduction to Heritage Assets. [Digital]. Swindon

The textile industry formed a crucial element of England’s economic
base from the medieval period onwards, whilst the mechanisation of the production processes and the introduction of the factory-based system in the 18th and 19th centuries resulted... Read More about Textile Mills: Introduction to Heritage Assets.

The legacy of millennial-scale land-use practices on landscape composition, diversity and slope erosion in the subalpine areas of Eastern Carpathians, Romania (2024)
Journal Article
Florescu, G., Hutchinson, S. M., Gałka, M., Mîndrescu, M., Tanțău, I., Petraș, A., & Feurdean, A. (2024). The legacy of millennial-scale land-use practices on landscape composition, diversity and slope erosion in the subalpine areas of Eastern Carpathians, Romania. Holocene, https://doi.org/10.1177/09596836231219473

We conducted multi-proxy analyses in two subalpine lakes, Lake Gropile, in the Rodna Mountains and Lake Vinderelu in the Maramureș Mountains, the Eastern Carpathians, Romania, to investigate the effect of different land-use practices on landscape com... Read More about The legacy of millennial-scale land-use practices on landscape composition, diversity and slope erosion in the subalpine areas of Eastern Carpathians, Romania.

Blast Noise Management and Prediction (2024)
Thesis

The aim of this work is to manage adverse occupational and environmental impacts from industrial blast noise sources at the DNV Spadeadam Testing & Research Site. Situated in Cumbria, UK, the site carries out crucial major hazards work including impr... Read More about Blast Noise Management and Prediction.

Investigating the Efficiency of Environmental DNA (eDNA) for Detecting Terrestrial and Semi-aquatic Mammals (2024)
Thesis

The global decline of terrestrial and semi-aquatic mammals creates an urgent need for accurate information on species distributions for effective conservation efforts. Environmental DNA (eDNA) has emerged as a reliable, non-invasive, and novel approa... Read More about Investigating the Efficiency of Environmental DNA (eDNA) for Detecting Terrestrial and Semi-aquatic Mammals.

The Characteristics of an Integrated Flood Warning and Response System that can Facilitate Evidence-Based Decision-Making: A Case Study in Sri Lanka (2024)
Thesis

Flood is a frequently occurring hazard that imposes adverse effects on a significant number of human lives and causes substantial economic damage worldwide. Flood frequency and impact have increased drastically due to climate change issues and unpla... Read More about The Characteristics of an Integrated Flood Warning and Response System that can Facilitate Evidence-Based Decision-Making: A Case Study in Sri Lanka.

Examining Human Wild-carnivore conflicts in Kargil Trans-Himalayas, India (2024)
Thesis

The inevitable human interaction with wildlife often gives rise to human-wildlife conflicts
inflicting tangible (e.g., financial, persecutions) and intangible (e.g., emotional) losses on
both sides. Despite the lack of scientific records in Kargil... Read More about Examining Human Wild-carnivore conflicts in Kargil Trans-Himalayas, India.

Enhancing Cybersecurity: Machine Learning and Natural Language Processing for Arabic Phishing Email Detection (2024)
Thesis

Phishing is a significant threat to the modern world, causing considerable financial losses. Although electronic mail has shown to be a valuable asset around the world in terms of facilitating communication for all parties involved, whether huge corp... Read More about Enhancing Cybersecurity: Machine Learning and Natural Language Processing for Arabic Phishing Email Detection.

Towards Explainable Deep Learning Models for Fault Prediction based on IoT Sensor Data (2024)
Thesis

This thesis addresses a pressing issue in the realm of IoT-based fault prediction using sensor data, focusing on the crucial yet challenging aspect of explainability within deep learning models. While deep learning has showcased remarkable advancemen... Read More about Towards Explainable Deep Learning Models for Fault Prediction based on IoT Sensor Data.

Acoustic Characterisation and Modelling of Multi-Fibrous Nonwovens (2024)
Thesis

This thesis explores the theoretical, numerical, and experimental approaches for nonwoven materials with the intent of quantifying, testing, and characterising the acoustic performance of currently available products and to guide the development of a... Read More about Acoustic Characterisation and Modelling of Multi-Fibrous Nonwovens.

A novel method for boundary layer flow that uses asymptotics and the Wiener-Hopf technique (2024)
Thesis

We consider the theory by (Chadwick, 2019) on the applications of Navier-Stokeslets (NSlets) by a Green’s integral distribution of fundamental solutions in boundary layer flow which we call BL-lets. This research investigates the application of the t... Read More about A novel method for boundary layer flow that uses asymptotics and the Wiener-Hopf technique.