Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Xianyuan Liu"'
Publikováno v:
Nano-Micro Letters, Vol 16, Iss 1, Pp 1-17 (2024)
Highlights Hierarchical Fe3O4-Fe@CNFs/Al-Fe3O4-Fe nanocomposites were constructed by in situ growth, vacuum-assisted filtration, and self-reduction methods. The carbon framework, with in situ grown magnetic nanoparticles, supports two-dimensional mag
Externí odkaz:
https://doaj.org/article/3febfc7057db4aca87fad5eeec6a73be
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35047- (2024)
This study harnessed bivariate correlational analysis, multiple linear regression analysis and tree-based regression analysis to examine the relationship between laser process parameters and the final material properties (bulk density, saturation mag
Externí odkaz:
https://doaj.org/article/1497ad2392724ac9aa7e6eb5373e15c6
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5424 (2023)
Patch-based methods improve the performance of infrared small target detection, transforming the detection problem into a Low-Rank Sparse Decomposition (LRSD) problem. However, two challenges hinder the success of these methods: (1) The interference
Externí odkaz:
https://doaj.org/article/e4e7154327254424add8a2b3ed6b0b17
Autor:
Hongchang Jia, Xin Liang, Lixin Zhang, Jinmei Zhang, Enoch Sapey, Xianyuan Liu, Yanhui Sun, Shi Sun, Hongrui Yan, Wencheng Lu, Tianfu Han
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Preserving viable pollen is of great interest to breeders to maintain desirable germplasm for future inbreeding. Ultra-low temperature preservation of pollen is an effective and safe way for long-term storage of plant germplasm resources. In this stu
Externí odkaz:
https://doaj.org/article/656eb0c34d8641f9887d6f4156fb8bb6
Text Semantic Fusion Relation Graph Reasoning for Few-Shot Object Detection on Remote Sensing Images
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1187 (2023)
Most object detection methods based on remote sensing images are generally dependent on a large amount of high-quality labeled training data. However, due to the slow acquisition cycle of remote sensing images and the difficulty in labeling, many typ
Externí odkaz:
https://doaj.org/article/c57f8f5c54804a00be9932c5fcc4fb95
Publikováno v:
Polymers, Vol 15, Iss 1, p 141 (2022)
Flame-retardant, thermal insulation, mechanically robust, and comprehensive protection against extreme environmental threats aerogels are highly desirable for protective equipment. Herein, inspired by the core (organic)-shell (inorganic) structure of
Externí odkaz:
https://doaj.org/article/5ca763ede2b347ff91e0a929713f20c2
Autor:
Xu Han, Xiaohua Zhang, Ying Guo, Xianyuan Liu, Xiaojuan Zhao, Heng Zhou, Songli Zhang, Tong Zhao
Publikováno v:
Polymers, Vol 13, Iss 9, p 1363 (2021)
The cage and ladder structured phosphorus-containing polyhedral oligomeric silsesquioxanes (DOPO-POSS) have been synthesized through the hydrolytic condensation of 9,10-dihydro-9-oxa-10-phosphenanthrene-10-oxide (DOPO)-vinyl triethoxysilane (VTES). T
Externí odkaz:
https://doaj.org/article/766f8933cf3a40b494fbda4891f857db
Publikováno v:
Applied Sciences, Vol 8, Iss 10, p 1924 (2018)
Temporal action detection in long, untrimmed videos is an important yet challenging task that requires not only recognizing the categories of actions in videos, but also localizing the start and end times of each action. Recent years, artificial neur
Externí odkaz:
https://doaj.org/article/ff11bc9679014884a6c22e5ed75f792e
Publikováno v:
Applied Sciences, Vol 8, Iss 10, p 1835 (2018)
As an important branch of video analysis, human action recognition has attracted extensive research attention in computer vision and artificial intelligence communities. In this paper, we propose to model the temporal evolution of multi-temporal-scal
Externí odkaz:
https://doaj.org/article/2460231079204d26975e3a1e2063b7d8
Publikováno v:
The Educational Review, USA. 6:680-686
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccd98db1b4333d762f33cbb97c3abbe8
https://doi.org/10.26855/er.2022.11.003
https://doi.org/10.26855/er.2022.11.003