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pro vyhledávání: '"Linné, Å"'
Weak multivalent interactions govern a large variety of biological processes like cell-cell adhesion and virus-host interactions. These systems distinguish sharply between surfaces based on receptor density, known as superselectivity. Earlier experim
Externí odkaz:
http://arxiv.org/abs/2306.16885
The performance of a wavelet-based optical flow velocimetry (wOFV) algorithm to extract high accuracy and high resolution velocity fields from particle images in wall-bounded turbulent flows is assessed. wOFV is first evaluated using synthetic partic
Externí odkaz:
http://arxiv.org/abs/2310.03980
Autor:
Linne, Oliver
Due to increasing numbers of product piracy worldwide, a cost-effective method for verifying the origin of a product is to be developed. For this purpose, a certificate of authenticity can be created using precisely measurable, unique properties of s
Externí odkaz:
http://arxiv.org/abs/2304.13519
Autor:
Linne, Joaquín, Angilletta, Florencia
Publikováno v:
Estudios Sociológicos, 2023 Sep 01. 41(123), 667-698.
Externí odkaz:
https://www.jstor.org/stable/27260793
Autor:
Linne, Mark, Mecker, Nils Torge, Kliewer, Christopher J., Escofet-Martin, David, Peterson, Brian
This paper presents an evaluation of two commonly accepted Raman linewidth models typically used to fit CARS model parameters to data; the Modified Exponential Gap (MEG) and the Energy Corrected Sudden (ECS) models. The adjustable parameters in each
Externí odkaz:
http://arxiv.org/abs/2203.00509
Autor:
Wu, Margaret, Linne, Marissa, Forien, Jean-Baptiste, Barton, Nathan R., Ye, Jianchao, Hazeli, Kavan, Perron, Aurelien, Bertsch, Kaila, Wang, Y. Morris, Voisin, Thomas
Publikováno v:
In Journal of Materials Processing Tech. June 2024 327
Publikováno v:
IEEE Transactions on Neural Networks and Learning, Early Access, 2022
Embedding nonlinear dynamical systems into artificial neural networks is a powerful new formalism for machine learning. By parameterizing ordinary differential equations (ODEs) as neural network layers, these Neural ODEs are memory-efficient to train
Externí odkaz:
http://arxiv.org/abs/2105.14070
Autor:
Linne, Christine, Visco, Daniele, Angioletti-Uberti, Stefano, Laan, Liedewij, Kraft, Daniela J.
Reliably distinguishing between cells based on minute differences in receptor density is crucial for cell-cell or virus-cell recognition, the initiation of signal transduction and selective targeting in directed drug delivery. Such sharp differentiat
Externí odkaz:
http://arxiv.org/abs/2103.13078
Autor:
Butryna, Alena, Chu, Shan-Hui Cathy, Demirsahin, Isin, Gutkin, Alexander, Ha, Linne, He, Fei, Jansche, Martin, Johny, Cibu, Katanova, Anna, Kjartansson, Oddur, Li, Chenfang, Merkulova, Tatiana, Oo, Yin May, Pipatsrisawat, Knot, Rivera, Clara, Sarin, Supheakmungkol, de Silva, Pasindu, Sodimana, Keshan, Sproat, Richard, Wattanavekin, Theeraphol, Wibawa, Jaka Aris Eko
This paper presents an overview of a program designed to address the growing need for developing freely available speech resources for under-represented languages. At present we have released 38 datasets for building text-to-speech and automatic spee
Externí odkaz:
http://arxiv.org/abs/2010.06778
Autor:
Escofet-Martin, David, Ojo, Anthony O., Collins, Joshua, Mecker, Nils Torge, Linne, Mark, Peterson, Brian
Publikováno v:
Optics Letters 45 (17), 4758-4761, 2020
We employ dual-probe 1-d fs/ps hybrid rotational coherent anti-Stokes Raman spectroscopy to investigate simultaneous temperature, pressure, and O2/N2 measurements for gas-phase diagnostics. The dual-probe HRCARS technique allows for simultaneous meas
Externí odkaz:
http://arxiv.org/abs/2009.01752