By Doctor Graham Wild

Conference Papers

Wild G; Hinckley S, 2009, 'Acoustic communications: A link between SHM and robotic NDE', in Structural Health Monitoring 2009 from System Integration to Autonomous Systems Proceedings of the 7th International Workshop on Structural Health Monitoring Iwshm 2009, pp. 870 - 877

Wild G; Hinckley S, 2008, 'Fibre Bragg grating acoustic emissions and transmission sensor in Carbon Fibre Composites', in Proceedings of SPIE the International Society for Optical Engineering, http://dx.doi.org/10.1117/12.810968

Jansz P; Wild G; Hinckley S, 2008, 'Optical switching of a proposed stationary optical delay line for OCT', in Proceedings of SPIE the International Society for Optical Engineering, http://dx.doi.org/10.1117/12.814425

Jansz PV; Wild G; Hinckley S, 2008, 'A Micro-Photonic stationary optical delay line for fibre optic time domain OCT', in 2008 Joint Conference of the Opto Electronics and Communications Conference and the Australian Conference on Optical Fibre Technology Oecc Acoft 2008, http://dx.doi.org/10.1109/OECCACOFT.2008.4610362

Wild G; Hinckley S, 2008, 'An intensiometric detection system for fibre Bragg grating sensors', in 2008 Joint Conference of the Opto Electronics and Communications Conference and the Australian Conference on Optical Fibre Technology Oecc Acoft 2008, http://dx.doi.org/10.1109/OECCACOFT.2008.4610361

Jansz PV; Wild G; Hinckley S, 2008, 'A proposed fibre optic time domain optical coherence tomography system using a micro-photonic stationary optical delay line', in Proceedings of SPIE the International Society for Optical Engineering, http://dx.doi.org/10.1117/12.786904

Wild G; Hinckley S, 2008, 'Wireless acoustic communications for autonomous agents in structural health monitoring sensor networks', in Proceedings of SPIE the International Society for Optical Engineering, http://dx.doi.org/10.1117/12.759026

Jansz PV; Wild G; Hinckley S, 2008, 'Stepped mirrored structures for generating true time delays in stationary optical delay line proof-of-principle experiments for application to optical coherence tomography', in Proceedings of SPIE the International Society for Optical Engineering, http://dx.doi.org/10.1117/12.759012

Wild G; Hinckley S; Jansz P, 2008, 'A transmit reflect detection system for fibre bragg grating photonic sensors', in Proceedings of SPIE the International Society for Optical Engineering, http://dx.doi.org/10.1117/12.759014

Wild G; Hinckley S, 2007, 'Fiber Bragg grating sensors for acoustic emission and transmission detection applied to robotic NDE in structural health monitoring', in Proceedings of the 2007 IEEE Sensors Applications Symposium Sas, http://dx.doi.org/10.1109/SAS.2007.374388

Wild G; Hinckley S, 2007, 'Electro-acoustic and acousto-optic communications for robotic agents in smart structures', in Proceedings of SPIE the International Society for Optical Engineering, http://dx.doi.org/10.1117/12.695750

Preprints

Nanyonga A; Wild G, 2025, Utilizing AI for Aviation Post-Accident Analysis Classification, http://arxiv.org/abs/2506.00169v1

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; 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; 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

Nanyonga A; Wasswa H; Wild G, 2025, Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports, http://arxiv.org/abs/2501.07923v1

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; Wasswa H; Wild G, 2025, Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset, http://dx.doi.org/10.1109/HDIS60872.2023.10499521

Nanyonga A; Wasswa H; Molloy O; Turhan U; Wild G, 2025, Natural Language Processing and Deep Learning Models to Classify Phase of Flight in Aviation Safety Occurrences, http://arxiv.org/abs/2501.06564v1

Nanyonga A; Wasswa H; Turhan U; Molloy O; Wild G, 2025, Sequential Classification of Aviation Safety Occurrences with Natural Language Processing, http://dx.doi.org/10.2514/6.2023-4325

Nanyonga A; Wild G, 2025, Analyzing Aviation Safety Narratives with LDA, NMF and PLSA: A Case Study Using Socrata Datasets, http://arxiv.org/abs/2501.01690v1

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; Wild G, 2025, Comparative Study of Deep Learning Architectures for Textual Damage Level Classification, http://dx.doi.org/10.1109/SPIN60856.2024.10511727

Nanyonga A; Wild G, 2025, Classification of Operational Records in Aviation Using Deep Learning Approaches, http://arxiv.org/abs/2501.01222v2

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

Pollock L; Wild G, 2024, Data-driven shape sensing of a hypersonic inlet ramp, http://dx.doi.org/10.31224/3817

Wild G, 2024, Airbus A32x vs Boeing 737 Safety Occurrences, http://dx.doi.org/10.1109/MAES.2023.3276347

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/10.1109/SMARTGENCON60755.2023.10442471

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; Richardson S, 2022, Automated formative assessments marking, feedback, and analytics with multiple choice face-to-face quizzes, http://dx.doi.org/10.31219/osf.io/vsr4q

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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