Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Ziquan Wang"'
Autor:
Siyuan Liu, Huimin Pang, Chenglong Wang, Ziquan Wang, Meng Wang, Yunzhe Zhang, Wei Zhang, Zhiwei Sui
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 10, Pp 7678-7690 (2024)
ABSTRACT: Due to its beneficial effects on human health, Bifidobacterium is commonly added to milk powder. Accurate quantification of viable Bifidobacterium is essential for assessing the therapeutic efficacy of milk powder. In this study, we introdu
Externí odkaz:
https://doaj.org/article/1858f91dfd9240b78515acf3b425ddd6
Autor:
Ziquan Wang, Xiangfeng Chen, Yuan Zhang, Jie Ma, Zhiqun Lin, Amor Abdelkader, Maria-Magdalena Titirici, Libo Deng
Publikováno v:
Nano-Micro Letters, Vol 17, Iss 1, Pp 1-17 (2024)
Highlights Steel tip arrays were used as current collectors to replace planar conductors. Optimal flow and electric fields reduced barriers for electron and ion transport. Desalination performance of flow-electrode capacitive deionization is enhanced
Externí odkaz:
https://doaj.org/article/5a430664af254ed0a8e367f1752be7a0
Publikováno v:
Foods, Vol 13, Iss 18, p 2890 (2024)
The somatic cell count (SCC) refers to the number of somatic cells present in each milliliter of raw milk and serves as a crucial indicator of dairy cow udder health and raw milk quality. Traditional SCC detection methods are often time-consuming, ex
Externí odkaz:
https://doaj.org/article/da31c30da55c4678888417ec4227add9
Autor:
Li Li, Yongsheng Zhang, Ziquan Wang, Zhenchao Zhang, Zhipeng Jiang, Ying Yu, Lei Li, Lei Zhang
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1341 (2024)
Novel view synthesis using neural radiance fields (NeRFs) for remote sensing images is important for various applications. Traditional methods often use implicit representations for modeling, which have slow rendering speeds and cannot directly obtai
Externí odkaz:
https://doaj.org/article/c16a0e1ec2e74a09914440f974107cba
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1239 (2024)
Test-time adaptation (TTA) has been proven to effectively improve the adaptability of deep learning semantic segmentation models facing continuous changeable scenes. However, most of the existing TTA algorithms lack an explicit exploration of domain
Externí odkaz:
https://doaj.org/article/2941cc0f3aab45898de544d816cce33d
Publikováno v:
IEEE Access, Vol 11, Pp 17430-17440 (2023)
Simultaneous localization and mapping (SLAM) is a fundamental function of intelligent robots. To reduce the influence of dynamic objects on SLAM in dynamic environments, this study pro-poses a visual SLAM based on sequential image segmentation, refer
Externí odkaz:
https://doaj.org/article/643a4be96d6e4530aca02506cab01159
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 758 (2024)
Robust segmentation in adverse weather conditions is crucial for autonomous driving. However, these scenes struggle with recognition and make annotations expensive, resulting in poor performance. As a result, the Segment Anything Model (SAM) was rece
Externí odkaz:
https://doaj.org/article/1910e9d8442b47999ba0536eb2e9dc2f
Autor:
Zhipeng Jiang, Yongsheng Zhang, Ziquan Wang, Ying Yu, Zhenchao Zhang, Mengwei Zhang, Lei Zhang, Binbin Cheng
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 304 (2024)
The accurate detection of relevant vehicles, pedestrians, and other targets on the road plays a crucial role in ensuring the safety of autonomous driving. In recent years, object detectors based on Transformers or CNNs have achieved excellent perform
Externí odkaz:
https://doaj.org/article/580a4fb5a7df4fa7b01c9cf5e2fb59ba
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5704 (2023)
Semantic segmentation based on optical images can provide comprehensive scene information for intelligent vehicle systems, thus aiding in scene perception and decision making. However, under adverse weather conditions (such as fog), the performance o
Externí odkaz:
https://doaj.org/article/4c5f703ab847475887184b1c524aa89a
Autor:
Angom Devadatta Mani, Jie Li, Ziquan Wang, Jiale Zhou, Huaicheng Xiang, Jinlai Zhao, Libo Deng, Haitao Yang, Lei Yao
Publikováno v:
Journal of Advanced Ceramics, Vol 11, Iss 7, Pp 1069-1081 (2022)
Abstract Photocatalytic degradation of organic pollutants is of great significance for wastewater remediation but is still hindered by the poor catalytic efficiency of the catalysts. Herein, we report a strategy to simultaneously introduce piezocatal
Externí odkaz:
https://doaj.org/article/45a98b761a274b699f82279e3232fca9