Zobrazeno 1 - 10
of 5 422
pro vyhledávání: '"Sulzer A"'
Automatic methods for reconstructing buildings from airborne LiDAR point clouds focus on producing accurate 3D models in a fast and scalable manner, but they overlook the problem of delivering simple and regularized models to practitioners. As a resu
Externí odkaz:
http://arxiv.org/abs/2404.08104
Autor:
Sulzer, Raphael, Lafarge, Florent
Plane arrangements are a useful tool for surface and volume modelling. However, their main drawback is poor scalability. We introduce two key novelties that enable the construction of plane arrangements for complex objects and entire scenes: (i) an o
Externí odkaz:
http://arxiv.org/abs/2404.06154
Autor:
Sulzer, Immanuel, Buck, Tobias
In astrophysics, solving complex chemical reaction networks is essential but computationally demanding due to the high dimensionality and stiffness of the ODE systems. Traditional approaches for reducing computational load are often specialized to sp
Externí odkaz:
http://arxiv.org/abs/2312.06015
Autor:
Roshi, D. Anish, Marshall, Sean, Vishwas, Amit, Sulzer, Mike, Manoharan, P. K., Devogele, Maxime, Venditti, Flaviane, Smith, Allison, Vaddi, Sravani, Venkataraman, Arun, Perillat, Phil, Brisset, Julie
The Next Generation Arecibo Telescope (NGAT) was a concept presented in a white paper Roshi et al. (2021) developed by members of the Arecibo staff and user community immediately after the collapse of the 305 m legacy telescope. A phased array of sma
Externí odkaz:
http://arxiv.org/abs/2305.07780
Publikováno v:
Communications Physics 6, 145 (2023)
Measuring an electric field waveform beyond radio frequencies is often accomplished via a second-order nonlinear interaction with a laser pulse shorter than half of the field's oscillation period. However, synthesizing such a gate pulse is extremely
Externí odkaz:
http://arxiv.org/abs/2302.05238
We present a comprehensive survey and benchmark of both traditional and learning-based methods for surface reconstruction from point clouds. This task is particularly challenging for real-world acquisitions due to factors like noise, outliers, non-un
Externí odkaz:
http://arxiv.org/abs/2301.13656
A data-driven model augmentation framework, referred to as Weakly-coupled Integrated Inference and Machine Learning (IIML), is presented to improve the predictive accuracy of physical models. In contrast to parameter calibration, this work seeks corr
Externí odkaz:
http://arxiv.org/abs/2207.10819
Autor:
Planella, Ferran Brosa, Ai, Weilong, Boyce, Adam M., Ghosh, Abir, Korotkin, Ivan, Sahu, Smita, Sulzer, Valentin, Timms, Robert, Tranter, Thomas G., Zyskin, Maxim, Cooper, Samuel J., Edge, Jacqueline S., Foster, Jamie M., Marinescu, Monica, Wu, Billy, Richardson, Giles
Physics-based electrochemical battery models derived from porous electrode theory are a very powerful tool for understanding lithium-ion batteries, as well as for improving their design and management. Different model fidelity, and thus model complex
Externí odkaz:
http://arxiv.org/abs/2203.16091
Autor:
Weng, Andrew, Mohtat, Peyman, Attia, Peter M., Sulzer, Valentin, Lee, Suhak, Less, Greg, Stefanopoulou, Anna
Publikováno v:
Joule, Volume 5, Issue 11, 17 November 2021, Pages 2971-2992
Increasing the speed of battery formation can significantly lower lithium-ion battery manufacturing costs. However, adopting faster formation protocols in practical manufacturing settings is challenging due to a lack of inexpensive, rapid diagnostic
Externí odkaz:
http://arxiv.org/abs/2203.14158
Most current neural networks for reconstructing surfaces from point clouds ignore sensor poses and only operate on raw point locations. Sensor visibility, however, holds meaningful information regarding space occupancy and surface orientation. In thi
Externí odkaz:
http://arxiv.org/abs/2202.01810