By Doctor Graham Wild

Preprints

Nanyonga A; Wasswa H; Wild G, 2024, Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models, , http://dx.doi.org/10.48550/arxiv.2403.04788

Eqbal M; Marino M; Fernando N; Wild G, 2022, Design Factors of High- speed Turbo-electric Distributed Propulsion System, , http://dx.doi.org/10.21203/rs.3.rs-1986257/v1

Wild G, 2022, Improving Capstone Research Projects: Using Computational Thinking to Provide Choice and Structured Active Learning, , http://arxiv.org/abs/2203.15947v1

Wild G; Baxter G; Srisaeng P; Richardson S, 2021, Machine Learning for Air Transport Planning and Management, , http://dx.doi.org/10.31224/osf.io/35rqj

Wild G; Baxter G; Srisaeng P; Richardson S, 2021, Machine Learning for Air Transport Planning and Management, , http://dx.doi.org/10.48550/arxiv.2112.01301

Pollock L; Wild G, 2021, An initial review of hypersonic vehicle accidents, , http://arxiv.org/abs/2110.06438v1

Pollock L; Wild G, 2021, Passive Phased Array Acoustic Emission Localisation via Recursive Signal-Averaged Lamb Waves with an Applied Warped Frequency Transformation, , http://arxiv.org/abs/2110.06457v1

Wild G, 2021, On the Origins and Relevance of the Equal Transit Time Fallacy to Explain Lift, , http://arxiv.org/abs/2110.00690v1

Somerville A; Lynar T; Wild G, The Nature and Costs of Civil Aviation Flight Training Safety Occurrences, , http://dx.doi.org/10.2139/ssrn.4191514

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