Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Lipeng, Gao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18852-18869 (2024)
Road topology networks play a crucial role in expressing road information, as they serve as the fundamental representation of road systems. Unfortunately, in high-resolution remote sensing images, roads are often obscured by buildings, tree trunks, a
Externí odkaz:
https://doaj.org/article/8528cdb55600479ea9c07fc4a5f92141
Autor:
Yilin Li, Xinyu Hu, Ruotong Li, Chunguang Wang, Houyin Wang, Guirong Liu, Lipeng Gao, Anwen Jin, Baoqing Zhu
Publikováno v:
Foods, Vol 13, Iss 17, p 2839 (2024)
The sensory quality of infant formula (IF) has a significant impact on the preferences and purchasing behavior of maternal consumers. Consumer-based rapid descriptive methods have become popular and are widely preferred over classical methods, but th
Externí odkaz:
https://doaj.org/article/d96eda45026c4d0eb0f58a1fbf3a0a3e
Autor:
Yilin Li, Ruotong Li, Xinyu Hu, Jiani Liu, Guirong Liu, Lipeng Gao, Yongjiu Zhang, Houyin Wang, Baoqing Zhu
Publikováno v:
Current Research in Food Science, Vol 8, Iss , Pp 100693- (2024)
The odor of infant formula changes due to alterations in its volatile composition during the shelf life. However, there is currently a lack of research on whether the odor changes in infant formula during the secondary shelf life, which refers to the
Externí odkaz:
https://doaj.org/article/0af8cade5c4a432f86fef02140d56a70
Autor:
Yilin Li, Houyin Wang, Ruotong Li, Guirong Liu, Kui Zhong, Lipeng Gao, Baoqing Zhu, Anwen Jin, Bolin Shi, Lei Zhao, Sisi Wang
Publikováno v:
Current Research in Food Science, Vol 7, Iss , Pp 100645- (2023)
This study combined gas chromatography-mass spectrometry (GC-MS) and odor activity value (OAV) assessments to analyze the volatile ingredient changes in formula powder during 11 months of storage at room temperature. Orthogonal partial least squares-
Externí odkaz:
https://doaj.org/article/54392948c45a4052b39e7d65eaae9241
Autor:
Guirong, Li, Lipeng, Gao, Hongming, Wang, Ming, Liu, Changwen, Wang, Haoran, Wen, Yuwei, Yan, Wenxiang, Ren, Jiaqi, Liu
Publikováno v:
In Journal of Alloys and Compounds 15 June 2021 866
Autor:
Lipeng Gao, He-Li Zhang, Xiao-Yang Tan, Yan-Ge Wang, Hongzhi Song, Vicky Lan Yuan, Xin-Hua Liao
Publikováno v:
Biomolecules, Vol 13, Iss 7, p 1076 (2023)
Many people suffer from hair loss and abnormal skin pigmentation, highlighting the need for simple assays to support drug discovery research. Current assays have various limitations, such as being in vitro only, not sensitive enough, or unquantifiabl
Externí odkaz:
https://doaj.org/article/b8efd8a721344920bed9831954e72d2c
Autor:
Lipeng Gao, Jingyu Wang, Qixin Wang, Wenzhong Shi, Jiangbin Zheng, Hongping Gan, Zhiyong Lv, Honghai Qiao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10428-10438 (2021)
Automatic extraction of road from multisource remote sensing data has always been a challenging task. Factors such as shadow occlusion and multisource data alignment errors prevent current deep learning-based road extraction methods from acquiring ro
Externí odkaz:
https://doaj.org/article/534cdf3ef22e4b02bc7d93d42113e7e5
Publikováno v:
IEEE Access, Vol 8, Pp 103941-103955 (2020)
Underwater acoustic signal is highly complex and difficult to predict. To improve the prediction accuracy of underwater acoustic signal, a complex underwater acoustic signal prediction method combining correlation variational mode decomposition (CVMD
Externí odkaz:
https://doaj.org/article/1e8f825fa67e4c3490de38a74f1a20e1
Publikováno v:
IEEE Access, Vol 7, Pp 37432-37447 (2019)
The recent appreciation of deep reinforcement learning (DRL) arises from its successes in many domains, but the applications of DRL in practical engineering are still unsatisfactory, including optimizing control strategies in cognitive electronic war
Externí odkaz:
https://doaj.org/article/9337334707664439b09eea0e7bd8b7e6
Publikováno v:
IEEE Access, Vol 7, Pp 50954-50961 (2019)
In this paper, we investigate the problem of joint direction of departure (DOD) and the direction of arrival (DOA) estimation in bistatic MIMO radar. A new bistatic MIMO radar with the distributed nested array is proposed. Based on the new array, the
Externí odkaz:
https://doaj.org/article/e8436bef342c402b91f75e4bb8e81ac7