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Automatic Classification of Pavement Type and Service Age Benchmarked with Standard Texture Databases Using the Machine Learning Method: A Pilot Study1citations
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Imaging the textural evolution of gypsum through a metamorphic cycle2025 conference-abstract Earth and Planetary Sciences Geological and Geochemical Analysis Open access
Eilidh Vass Payne, Ian Sydney Butler, James Gilgannon, Damien Freitas, Roberto Emanuele Rizzo, Lisa Eberhard, +1 more
0citations -
Regeneration of pavement surface textures using M‐sigmoid‐normalized generative adversarial networks2023 Computer-Aided Civil and Infrastructure Engineering article Computer Science Generative Adversarial Networks and Image Synthesis Open access
Jiale Lu, Baofeng Pan, Weixin Ren, Quan Liu, Pengfei Liu, Markus Oeser
28citations -
Simulations of Texture Evolution in the Near-Surface Region During Aluminum Rolling2024 Metallurgical and Materials Transactions A article Materials Science Microstructure and mechanical properties Open access
Elisa Cantergiani, Michael Riedel, Kai F. Karhausen, Franz Roters, Angela Quadfasel, Georg Falkinger, +2 more
16citations -
Comparison of the Polishing Resistances of Concrete Pavement Surface Textures Prepared with Different Technologies Using the Aachen Polishing Machine2021 Journal of Materials in Civil Engineering article Engineering Asphalt Pavement Performance Evaluation Open access
Guoyang Lu, Yulin He, Zhen Leng, Dawei Wang, Bin Hong, Jincheng Wei, +1 more
13citations -
Quantification of bone surface textures: exploring a new method of ontogenetic ageing2023 Journal of Analytical Science & Technology article Arts and Humanities Forensic Anthropology and Bioarchaeology Studies Open access
Jimmy de Rooij, Marleen Q. Vintges, Thim Zuidwijk, C. Th. H. Heerkens, Anne S. Schulp
3citations -
Accurate distances measures and machine learning of the texture-property relation for crystallographic textures represented by one-point statistics2024 Modelling and Simulation in Materials Science and Engineering article Materials Science Machine Learning in Materials Science Open access
Tarek Iraki, Lukas Morand, Norbert Link, Stefan Sandfeld, Dirk Helm
2citations -
Accurate Distances Measures and Machine Learning of the Texture-Property Relation for Crystallographic Textures Represented by One-Point Statistics2023 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Tarek Iraki, Lukas Morand, Norbert Link, Stefan Sandfeld, Dirk Helm
0citations -
Thermal stability of microstructure and texture in an ultra-fine grained (UFG) Al–Mg–Sc–Zr alloy2025 The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics article Engineering Aluminum Alloy Microstructure Properties
D. Nagesh Kumar, Nitish Bibhanshu, Barun Bharadwaj Dash, Satyam Suwas, Martin Peterlechner, Harald Rösner, +3 more
0citations -
Tailoring the strength of inconel 718: Insights into LPBF parameters and heat treatment synergy2025 Materials & Design article Engineering Additive Manufacturing Materials and Processes Open access
Galina Kasperovich, Joachim Gussone, Guillermo Carlos Requena, Norbert Schell, Andreas Stark, Jan Haubrich
35citations -
Understanding pyramidal slip-induced deformation bands and dynamic recrystallization in AZWX3100 magnesium alloy2025 Journal of Magnesium and Alloys article Engineering Metallurgy and Material Forming Open access
Risheng Pei, Fatim-Zahra Mouhib, Mattis Seehaus, Simon Arnoldi, Pei-Ling Sun, Talal Al‐Samman
29citations -
Exploring solute behavior and texture selection in magnesium alloys at the atomistic level2024 Acta Materialia article Materials Science Magnesium Alloys: Properties and Applications Open access
Fatim-Zahra Mouhib, Zhuocheng Xie, Achraf Atila, Julien Guénolé, Sandra Korte‐Kerzel, Talal Al‐Samman
22citations