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All Outputs (7)

A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection (2023)
Preprint / Working Paper
Lazzarini, R., Tianfield, H., & Charissis, V. A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection

The number of Internet of Things (IoT) devices has increased considerably inthe past few years, which resulted in an exponential growth of cyber attackson IoT infrastructure. As a consequence, the prompt detection of attacks inIoT environments throug... Read More about A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection.

Research on the Chemical and Colour Changes of Historically Important Light-Sensitive Dyestuffs during Accelerated Light Ageing with Filtered Visible Light (2016)
Preprint / Working Paper
Quye, A., Han, J., & Innes, M. Research on the Chemical and Colour Changes of Historically Important Light-Sensitive Dyestuffs during Accelerated Light Ageing with Filtered Visible Light

Lighting is a key factor for the display and preservation of cultural heritage materials. This research pioneers the chemical investigation of colourants aged by visible light of different wavelengths. Silk samples dyed by historically important colo... Read More about Research on the Chemical and Colour Changes of Historically Important Light-Sensitive Dyestuffs during Accelerated Light Ageing with Filtered Visible Light.

The challenges facing freelancers in Scottish Film and TV: an analysis of 45 years of data from the Film Bang directory 1976-2020
Preprint / Working Paper
Scott, A., & Davidson, N. The challenges facing freelancers in Scottish Film and TV: an analysis of 45 years of data from the Film Bang directory 1976-2020. London

This Discussion Paper investigates freelance working in the Scottish film and television sector. The Industrial Strategy and the Bazalgette Report into the Creative Industries (2017) have identified the need to support the development of creative clu... Read More about The challenges facing freelancers in Scottish Film and TV: an analysis of 45 years of data from the Film Bang directory 1976-2020.