Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jiarui Xing"'
Autor:
Wei Lin, Jiarui Xing, Yang Zhou, Long Pan, Li Yang, Yuan Zhang, Xiong Xiong Liu, Chenchen Xiong, Weihuan Li, ZhengMing Sun
Publikováno v:
Research, Vol 7 (2024)
Cement-based materials are the foundation of modern buildings but suffer from intensive energy consumption. Utilizing cement-based materials for efficient energy storage is one of the most promising strategies for realizing zero-energy buildings. How
Externí odkaz:
https://doaj.org/article/5f2bed8f4de8489fa97ffba2d3bae296
Publikováno v:
Highlights in Science, Engineering and Technology. 47:260-266
As a strategic, basic and leading industry for the development of China's national economy, the logistics industry shoulders the important mission of implementing the national "dual carbon" goal. It is urgent to keep up with the pace of the times and
Autor:
Jiarui Xing, Huilin Li
Publikováno v:
Mobile Information Systems. 2022:1-10
Artificial intelligence recognition of human actions has been used in various fields. This article is based on deep learning and improved dynamic time regularization algorithms to study football action postures. This paper proposes a hierarchical rec
Publikováno v:
Journal of Building Engineering. 66:105937
Autor:
Jiarui Xing, Huilin Li
Publikováno v:
Journal of Nanomaterials.
As more and more people love football and participate in more and more football matches, the physical injuries in the confrontation are getting more and more serious. In recent years, bionic photothermal nanomaterials have shown great application pot
Publikováno v:
SSRN Electronic Journal.
Autor:
Kenneth C. Bilchick, Miaomiao Zhang, Frederick H. Epstein, Mohamad Abdi, Jiarui Xing, Sona Ghadimi
Publikováno v:
ISBI
This paper presents a novel method to automatically identify late-activating regions of the left ventricle from cine Displacement Encoding with Stimulated Echo (DENSE) MR images. We develop a deep learning framework that identifies late mechanical ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2543aba78f8166bcb09b978ecac8b45
http://arxiv.org/abs/2012.04000
http://arxiv.org/abs/2012.04000
Publikováno v:
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis ISBN: 9783030328740
SUSI/PIPPI@MICCAI
SUSI/PIPPI@MICCAI
This paper presents a novel deformable registration framework, leveraging an image prior specified through a denoising function, for severely noise-corrupted placental images. Recent work on plug-and-play (PnP) priors has shown the state-of-the-art p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c2703248bf3b6e2158754163dddc068
https://doi.org/10.1007/978-3-030-32875-7_15
https://doi.org/10.1007/978-3-030-32875-7_15
Publikováno v:
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy ISBN: 9783030332259
MBIA/MFCA@MICCAI
MBIA/MFCA@MICCAI
Dimensionality reduction on Riemannian manifolds is challenging due to the complex nonlinear data structures. While probabilistic principal geodesic analysis (PPGA) has been proposed to generalize conventional principal component analysis (PCA) onto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b10cb8e071155e4ac1b13d7d73d96044
https://doi.org/10.1007/978-3-030-33226-6_21
https://doi.org/10.1007/978-3-030-33226-6_21