Zobrazeno 1 - 10
of 2 007
pro vyhledávání: '"P P, Kammer"'
Autor:
Das, Supratim, Rafie, Mahdie, Kammer, Paula, Skou, Søren T., Grønne, Dorte T., Roos, Ewa M., Hajek, André, König, Hans-Helmut, Ullaha, Md Shihab, Probul, Niklas, Baumbacha, Jan, Baumbach, Linda
Background: Patient-reported survey data are used to train prognostic models aimed at improving healthcare. However, such data are typically available multi-centric and, for privacy reasons, cannot easily be centralized in one data repository. Models
Externí odkaz:
http://arxiv.org/abs/2409.07997
Autor:
Pundir, Mohit, Kammer, David S.
Fast-Fourier Transform (FFT) methods have been widely used in solid mechanics to address complex homogenization problems. However, current FFT-based methods face challenges that limit their applicability to intricate material models or complex mechan
Externí odkaz:
http://arxiv.org/abs/2408.03804
Accurately modeling the mechanical behavior of materials is crucial for numerous engineering applications. The quality of these models depends directly on the accuracy of the constitutive law that defines the stress-strain relation. Discovering these
Externí odkaz:
http://arxiv.org/abs/2407.20273
Fault zones mature through the accumulation of earthquakes and the wearing of contact asperities at multiple scales. This study examines how wear-induced gouge production affects the evolution of fault seismicity, focusing on earthquake nucleation, r
Externí odkaz:
http://arxiv.org/abs/2407.18283
Cold joints in extruded concrete structures form once the exposed surface of a deposited filament dries prematurely and gets sequentially covered by a layer of fresh concrete. This creates a material heterogeneity which lowers the structural durabili
Externí odkaz:
http://arxiv.org/abs/2406.05238
Autor:
Li, Thomas Z., Xu, Kaiwen, Krishnan, Aravind, Gao, Riqiang, Kammer, Michael N., Antic, Sanja, Xiao, David, Knight, Michael, Martinez, Yency, Paez, Rafael, Lentz, Robert J., Deppen, Stephen, Grogan, Eric L., Lasko, Thomas A., Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A.
Statistical models for predicting lung cancer have the potential to facilitate earlier diagnosis of malignancy and avoid invasive workup of benign disease. Many models have been published, but comparative studies of their utility in different clinica
Externí odkaz:
http://arxiv.org/abs/2405.10993
Structural build-up in fresh cement paste at rest is characterized by time evolutions of storage modulus and yield stress, which both increase linearly in time during the induction period of hydration, followed by an exponential evolution after enter
Externí odkaz:
http://arxiv.org/abs/2404.02850
The mineralized collagen fibril is the main building block of hard tissues and it directly affects the macroscopic mechanics of biological tissues such as bone. The mechanical behavior of the fibril itself is determined by its structure: the content
Externí odkaz:
http://arxiv.org/abs/2403.11753
Symbolic regression holds great potential for uncovering underlying mathematical and physical relationships from empirical data. While existing transformer-based models have recently achieved significant success in this domain, they face challenges i
Externí odkaz:
http://arxiv.org/abs/2402.05306
Building prediction models from mass-spectrometry data is challenging due to the abundance of correlated features with varying degrees of zero-inflation, leading to a common interest in reducing the features to a concise predictor set with good predi
Externí odkaz:
http://arxiv.org/abs/2402.02064