By Dr Keith Francis Joiner

Preprints

Hargreaves M; Koumakis D; Joiner K; Dooner D, 2026, Enabling Sustainable After-Market Aircraft Electrification: Aerodynamic Impact of High-Performance Battery Cooling Ports, http://dx.doi.org/10.20944/preprints202510.2170.v1

Reitsma A; Dunstone P; Medway LW; O'Neill N; Tenneti R; Tenhave J; Joiner K; Tutty M; Joyce K, 2026, Improving the design and performance of Reaper aircraft to provide a pervasive high-altitude standoff maritime strike capability, http://dx.doi.org/10.20944/preprints202511.1337.v1

Somerville A; Lynar T; Joiner K; Wild G, 2026,

Virtual Reality Flight Simulation: A Quasi-Transfer of Training Study, http://dx.doi.org/10.20944/preprints202601.0964.v1

Nanyonga A; Joiner K; Turhan U; Wild G, 2025, Deep Learning Approaches for Classifying Aviation Safety Incidents: Evidence from Australian Data, http://dx.doi.org/10.20944/preprints202508.2196.v1

Van Zomeren M; Deane F; Joiner K; Qiao L; Horne R; Suprun E, 2025, Regulating Cyberworthiness: Governance Frameworks for Safety-Critical Cyber-Physical Systems, http://dx.doi.org/10.20944/preprints202508.0294.v1

Ericksen MJ; Joiner KF; Lawson NJ; Truslove A; Warren G; Zhao J; Swidan AA, 2025, Novel Hybrid Aquatic-Aerial Vehicle to Survey in High Sea States: Initial Flow Dynamics on Dive and Breach, http://dx.doi.org/10.20944/preprints202505.2484.v1

Nanyonga A; Joiner K; Turhan U; Wild G, 2025, Semantic Topic Modeling of Aviation Safety Reports: A Comparative Analysis Using BERTopic and PLSA, http://dx.doi.org/10.20944/preprints202505.1509.v1

Nanyonga A; Wasswa H; Joiner K; Turhan U; Wild G, 2025, Predicting Probable Causes of Aviation Incidents Using NLP and Variational Autoencoders, http://dx.doi.org/10.36227/techrxiv.174431146.68041296/v1

Nanyonga A; Joiner K; Turhan U; Wild G, 2025, Natural Language Processing for Aviation Safety: Predicting Injury Levels from Incident Reports in Australia, http://dx.doi.org/10.20944/preprints202503.2251.v1

Nanyonga A; Wasswa H; Joiner K; Turhan U; Wild G, 2025, A Multi-Head Attention-Based Transformer Model for Predicting Causes in Aviation Incident, http://dx.doi.org/10.20944/preprints202502.1196.v1

Nanyonga A; Wasswa H; Turhan U; Joiner K; Wild G, 2025, Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques, http://arxiv.org/abs/2501.07924v1

Nanyonga A; Joiner K; Turhan U; Wild G, 2025, Applications of natural language processing in aviation safety: A review and qualitative analysis, http://arxiv.org/abs/2501.06210v1

Nanyonga A; Wasswa H; Turhan U; Joiner K; Wild G, 2025, Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing, http://arxiv.org/abs/2501.01227v1

Nanyonga A; Joiner K; Turhan U; Wild G, 2025, Does the Choice of Topic Modeling Technique Impact the Interpretation of Aviation Incident Reports? A Methodological Assessment, http://dx.doi.org/10.20944/preprints202503.2171.v1

Nanyonga A; Wasswa H; Joiner K; Turhan U; Wild G, 2025, Explainable Supervised Learning Models for Aviation Predictions in Australia, http://dx.doi.org/10.20944/preprints202502.0998.v1

Fowler S; Joiner K; Sitnikova E, 2021, Assessing Cyber-Worthiness of Complex System Capabilities using MBSE: A new rigorous engineering methodology, http://dx.doi.org/10.36227/techrxiv.14703033.v1

Hepworth A; yaxley K; Baxter D; Joiner K; Abbass H, 2020, Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures, http://dx.doi.org/10.36227/techrxiv.12834002.v2

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