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Articles by Daniel N. Wilke
[2603.05201] Towards a data-scale independent regulariser for robust sparse identification of non-linear dynamics
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Latent Space Perspicacity and Interpretation Enhancement (LS-PIE) Framework
1. Introduction Latent variable models are statistical models that describe the relationships between observed and unobserved, or latent, variables. These models assume that the observed variables are generated by underlying latent variables, which are not directly measured or observed but are inferred from available data [1,2].
Enhancing LS-PIE’s Optimal Latent Dimensional Identification: Latent Expansion and Latent Condensation
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Challenges and solutions to arc-length controlled structural shape design problems
Challenges and solutions to arc-length controlled structural shape design problems Autores: Johann M. Bouwer, Daniel N. Wilke, Schalk Kok Localización: Mechanics based design of structures and machines, ISSN 1539-7734, Vol. 51, Nº. 7, 2023, págs. 4088-4119 Idioma: inglés Texto completo no disponible (Saber más ...) This paper presents a general and reliable shape optimization scheme for snap-through structures to match a target load-deflection curve.
Digital Twin Hybrid Modeling for Enhancing Guided Wave Ultrasound Inspection Signals in Welded Rails
Open AccessArticle by Dineo A. Ramatlo 1,*, Daniel N. Wilke 1 and Philip W. Loveday 2 1 Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria 0002, South Africa 2 School of Mechanical, Industrial and Aeronautical Engineering, University of the Witwatersrand, Johannesburg 2000, South Africa * Author to whom correspondence should be addressed. Math. Comput. Appl.
Spatio-Temporal Gradient Enhanced Surrogate Modeling Strategies
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Johann M. Bouwer *,†, Daniel N. Wilke † and Schalk Kok Department of Mechanical Engineering, University of Pretoria, Pretoria 0083, South Africa * Author to whom correspondence should be addressed. † These authors contributed equally to this work. Math. Comput. Appl.
A Generalized Finite Difference Scheme for Multiphase Flow
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Johannes C. Joubert 1,*, Daniel N. Wilke 1 and Patrick Pizette 2 1 Department of Mechanical and Aeronautical Engineering, University of Pretoria, Private Bag x 20, Hatfield 0028, South Africa 2 IMT Lille Douai, Univ.
BlitzReads: ChatGPT Quid Pro Quo: Generative versus Interpretative capabilities
ChatGPT is an impressive generative model. But the simplest and most basic generative test is to recall a sample from the training set, without modification, which is captured with the following ChatGPT Prompt: Give the poem IF by Kipling ChatGPT gives a flawless rendition of the actual poem (first paragraph given below), which is clearly part of the training set.
Verifying hyperparameter sensitivities of optimal filter design methods for fault signature enhancement
Mechanics & Industry 26, 22 (2025) Original Article Verifying hyperparameter sensitivities of optimal filter design methods for fault signature enhancement 1*, 1,2, 1 and 3,4 1 Centre for Asset Integrity Management, Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria, South Africa 2 School of Mechanical, Industrial & Aeronautical Engineering, University of the Witwatersrand, Johannesburg, South Africa 3 Department of Mechanical Engineering, KU Leuven,...
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