6 citations · 6 across the 10 of their papers we have counts for
10 papers
A Forward Model for Route- and Season-Dependent High-Pressure Compressor Efficiency Deterioration in Turbofan Engines
Yuyou Zhan, Miguel Arana-Catania, Neil Dhir +1
Civil turbofan engines lose compressor efficiency every time they fly through particle-laden air. Fouling of the high-pressure compressor (HPC) is the dominant recoverable performa…
Characterising AI Models for Cataloguing
Miguel Arana-Catania, Neil Jefferies
The creation of digital collections involves not only the digitisation of content, but also the creation of catalogue records for it. This often-overlooked task requires slow and c…
Letting the Data Speak: Extracting Keywords from Crowdsourced Collections with AI
Miguel Arana-Catania, Catherine Conisbee, Matthew Kidd
Identifying and assigning keywords at scale is a technical, practical, and ethical challenge for crowdsourced collections. This article reports the findings of the "Extracting Keyw…
Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works
Miguel Arana-Catania, Gillian Pink, Glenn Roe
Thematic indexing -- the practice of assigning structured conceptual labels to sections of text -- is essential to scholarly access in large-scale literary and historical editions,…
Efficient Few-Shot Learning in Remote Sensing: Fusing Vision and Vision-Language Models
Jia Yun Chua, Argyrios Zolotas, Miguel Arana-Catania
Remote sensing has become a vital tool across sectors such as urban planning, environmental monitoring, and disaster response. While the volume of data generated has increased sign…
AI-assisted Advanced Propellant Development for Electric Propulsion
Angel Pan Du, Miguel Arana-Catania, Enric Grustan Gutiérrez
Artificial Intelligence algorithms are introduced in this work as a tool to predict the performance of new chemical compounds as alternative propellants for electric propulsion, fo…
Structured AI Decision-Making in Disaster Management
Julian Gerald Dcruz, Argyrios Zolotas, Niall Ross Greenwood +1
With artificial intelligence (AI) being applied to bring autonomy to decision-making in safety-critical domains such as the ones typified in the aerospace and emergency-response se…
Convolutional Neural Networks for Accurate Measurement of Train Speed
Haitao Tian, Argyrios Zolotas, Miguel Arana-Catania
In this study, we explore the use of Convolutional Neural Networks for improving train speed estimation accuracy, addressing the complex challenges of modern railway systems. We in…
Probing the co-evolution of SMBHs and their hosts from scaling relations pairwise residuals: dominance of stellar velocity dispersion and host halo mass
Francesco Shankar, Mariangela Bernardi, Daniel Roberts +17
The correlations between Supermassive Black Holes (SMBHs) and their host galaxies still defy our understanding from both the observational and theoretical perspectives. Here we per…
Causal Discovery to Understand Hot Corrosion
A. Varghese, M. Arana-Catania, S. Mori +2
Gas turbine superalloys experience hot corrosion, driven by factors including corrosive deposit flux, temperature, gas composition, and component material. The full mechanism still…