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Lumbar model generator: a tool for the automated generation of a parametric scalable model of the lumbar spine
Lavecchia, C. E., Espino, D. M., Moerman, K. M., Tse, K. M., Robinson, D., Lee, P. V. S., Shepherd, D. E. T.
Published in Journal of the Royal Society interface (01.01.2018)
Published in Journal of the Royal Society interface (01.01.2018)
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Journal Article
Automated generation of consistent, diverse and structurally realistic graph models
Semeráth, Oszkár, Babikian, Aren A., Chen, Boqi, Li, Chuning, Marussy, Kristóf, Szárnyas, Gábor, Varró, Dániel
Published in Software and systems modeling (01.10.2021)
Published in Software and systems modeling (01.10.2021)
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Journal Article
INFLAMMATORY DISEASE SIGN DETECTOR, INFLAMMATORY DISEASE SIGN DETECTION METHOD, INFLAMMATORY DISEASE SIGN DETECTION PROGRAM, LEARNING MODEL GENERATOR, LEARNING MODEL GENERATION METHOD, LEARNING MODEL GENERATION PROGRAM, HEART-RATE INFORMATION MEASURING DEVICE, AND HEART-RATE INFORMATION MEASUREMENT METHOD
HUANG CHEN'YU, NOGAMI HIROSHI, FUJIOKA HIROKI, ISHIZAKI HIROSHI, AOKI TAKAHIRO, YAYO KENICHI, KUWAHARA MASAKI
Year of Publication 25.11.2022
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Year of Publication 25.11.2022
Patent
Controller and anti‐windup co‐design for the output regulation of rational systems subject to control saturation
Castro, Rafael S., Flores, Jeferson V., Salton, Aurélio T., Gomes da Silva Jr, João M
Published in International journal of robust and nonlinear control (10.03.2021)
Published in International journal of robust and nonlinear control (10.03.2021)
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Journal Article
Factors affecting subject-specific finite element models of implant-fitted rat bone specimens: critical analysis of a technical protocol
Piccinini, Marco, Cugnoni, Joel, Botsis, John, Zacchetti, Giovanna, Ammann, Patrick, Wiskott, Anselm
Published in Computer methods in biomechanics and biomedical engineering (01.01.2014)
Published in Computer methods in biomechanics and biomedical engineering (01.01.2014)
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Journal Article
Early prediction of body composition parameters on metabolically unhealthy in the Chinese population via advanced machine learning
Deng, Xiujuan, Qiu, Lin, Sun, Xin, Li, Hui, Chen, Zejiao, Huang, Min, Hu, Fangxing, Zhang, Zhenyi
Published in Frontiers in endocrinology (Lausanne) (29.08.2023)
Published in Frontiers in endocrinology (Lausanne) (29.08.2023)
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Journal Article