Zobrazeno 1 - 10
of 719
pro vyhledávání: '"LIU Zili"'
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 6, Pp 111-119 (2023)
Ni-Mn-Sn alloy is considered to be one of the most potential refrigerant, sensor and driver materials, but its practical application is hindered to a large extent due to the inherent brittleness of intermetallic compounds.The microstructure, martensi
Externí odkaz:
https://doaj.org/article/b639130c6aa04d7f83495defb970e61d
In an era of frequent extreme weather and global warming, obtaining precise, fine-grained near-surface weather forecasts is increasingly essential for human activities. Downscaling (DS), a crucial task in meteorological forecasting, enables the recon
Externí odkaz:
http://arxiv.org/abs/2408.10854
Multi-view segmentation in Remote Sensing (RS) seeks to segment images from diverse perspectives within a scene. Recent methods leverage 3D information extracted from an Implicit Neural Field (INF), bolstering result consistency across multiple views
Externí odkaz:
http://arxiv.org/abs/2405.14171
Autor:
Liu, Zili, Chen, Hao, Bai, Lei, Li, Wenyuan, Chen, Keyan, Wang, Zhengyi, Ouyang, Wanli, Zou, Zhengxia, Shi, Zhenwei
Downscaling (DS) of meteorological variables involves obtaining high-resolution states from low-resolution meteorological fields and is an important task in weather forecasting. Previous methods based on deep learning treat downscaling as a super-res
Externí odkaz:
http://arxiv.org/abs/2401.11960
Accurate weather forecasting holds significant importance to human activities. Currently, there are two paradigms for weather forecasting: Numerical Weather Prediction (NWP) and Deep Learning-based Prediction (DLP). NWP utilizes atmospheric physics f
Externí odkaz:
http://arxiv.org/abs/2401.04125
Autor:
Chen, Keyan, Liu, Chengyang, Li, Wenyuan, Liu, Zili, Chen, Hao, Zhang, Haotian, Zou, Zhengxia, Shi, Zhenwei
Change detection, a prominent research area in remote sensing, is pivotal in observing and analyzing surface transformations. Despite significant advancements achieved through deep learning-based methods, executing high-precision change detection in
Externí odkaz:
http://arxiv.org/abs/2312.16202
Two-stage detectors have gained much popularity in 3D object detection. Most two-stage 3D detectors utilize grid points, voxel grids, or sampled keypoints for RoI feature extraction in the second stage. Such methods, however, are inefficient in handl
Externí odkaz:
http://arxiv.org/abs/2208.03624
Publikováno v:
In Journal of Environmental Management December 2024 371
Autor:
Xie, Jiayin, Wang, Xiaopan, Lin, Jing, Kong, Sifang, Lu, Hanqing, Liu, Zili, Wang, Qiying, Zuo, Jianliang, Hu, Fei, Zeng, Zhiwei
Publikováno v:
In Chemical Engineering Journal 1 October 2024 497
Publikováno v:
In Engineering Failure Analysis October 2024 164