Zobrazeno 1 - 10
of 89 317
pro vyhledávání: '"Weide, A"'
Autor:
Pete Hackett
Unter dem Pseudonym Pete Hackett verbirgt sich der Schriftsteller Peter Haberl. Er schreibt Romane über die Pionierzeit des amerikanischen Westens, denen eine archaische Kraft innewohnt - eisenhart und bleihaltig. Seit langem ist es nicht mehr gelun
Publikováno v:
Züchtungskunde. 2022, Vol. 94 Issue 3, p161-177. 17p.
Publikováno v:
Züchtungskunde. 2020, Vol. 92 Issue 1, p26-30. 5p.
Autor:
Wijngaarden, Jan, Klinkers, Jaap
Publikováno v:
Oud Meppel; Jun2024, Vol. 46 Issue 2, p45-50, 6p
Autor:
van der Weide, Niels
Internal language theorems are fundamental in categorical logic, since they express an equivalence between syntax and semantics. One of such theorems was proven by Clairambault and Dybjer, who corrected the result originally by Seely. More specifical
Externí odkaz:
http://arxiv.org/abs/2411.06636
Diffusion-weighted magnetic resonance imaging (dMRI) is the only non-invasive tool for studying white matter tracts and structural connectivity of the brain. These assessments rely heavily on tractography techniques, which reconstruct virtual streaml
Externí odkaz:
http://arxiv.org/abs/2408.14326
In this paper, we introduce a novel Gaussian mixture based evidential learning solution for robust stereo matching. Diverging from previous evidential deep learning approaches that rely on a single Gaussian distribution, our framework posits that ind
Externí odkaz:
http://arxiv.org/abs/2408.02796
We present a deep neural network-enabled method to accelerate near-field (NF) antenna measurement. We develop a Near-field Super-resolution Network (NFS-Net) to reconstruct significantly undersampled near-field data as high-resolution data, which con
Externí odkaz:
http://arxiv.org/abs/2406.17244
Autor:
Li, Fulan, Guo, Yunfei, Xu, Wenda, Zhang, Weide, Zhao, Fangyun, Wang, Baiyu, Du, Huaguang, Zhang, Chengkun
This paper presents the development of an upper limb end-effector based rehabilitation device for stroke patients, offering assistance or resistance along any 2-dimensional trajectory during physical therapy. It employs a non-backdrivable ball-screw-
Externí odkaz:
http://arxiv.org/abs/2406.14795
Autor:
Liu, Weide, Hou, Jingwen, Zhong, Xiaoyang, Zhan, Huijing, Cheng, Jun, Fang, Yuming, Yue, Guanghui
Deep learning-based brain tumor segmentation (BTS) models for multi-modal MRI images have seen significant advancements in recent years. However, a common problem in practice is the unavailability of some modalities due to varying scanning protocols
Externí odkaz:
http://arxiv.org/abs/2406.10175