Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Guohong Gao"'
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110616- (2024)
In this paper, the GSP655060Fe soft pack lithium-ion battery with a capacity of 1600 mAh is utilized, employing lithium iron phosphate as the positive electrode and graphite as the negative electrode. In order to comprehensively evaluate the performa
Externí odkaz:
https://doaj.org/article/0e0ac4f2d5f54f61b1bc2e562147ef84
Publikováno v:
IEEE Access, Vol 12, Pp 109255-109268 (2024)
The application of big data technology in agricultural production has led to explosive growth in agricultural data. The accurate classification of agricultural questions from vast amounts of question-and-answer data is currently a prominent topic in
Externí odkaz:
https://doaj.org/article/e6fb16c5f223434396126edd280e96b4
Autor:
Jianping Wang, Zhiyu Li, Guohong Gao, Yan Wang, Chenping Zhao, Haofan Bai, Yingying Lv, Xueyan Zhang, Qian Li
Publikováno v:
Agriculture, Vol 14, Iss 5, p 665 (2024)
With the rapid advancements in computer vision, using deep learning for strawberry disease recognition has emerged as a new trend. However, traditional identification methods heavily rely on manual discernment, consuming valuable time and imposing si
Externí odkaz:
https://doaj.org/article/da154baf954b44088b1f701d3d6c30be
Autor:
Chengchao Wang, Guohong Gao, Jianping Wang, Yingying Lv, Qian Li, Zhiyu Li, Xueyan Zhang, Haoyu Wu
Publikováno v:
IEEE Access, Vol 11, Pp 126650-126660 (2023)
In the context of cattle farm environments, intricate environmental interferences have presented challenges that impede seamless data acquisition. This paper introduces a novel approach, the integration of a fusion gate transformation mechanism and a
Externí odkaz:
https://doaj.org/article/2b818341d0644f27b1d95d3ba6507a5d
Autor:
Jianping Wang, Xueyan Zhang, Guohong Gao, Yingying Lv, Qian Li, Zhiyu Li, Chengchao Wang, Guanglan Chen
Publikováno v:
IEEE Access, Vol 11, Pp 113752-113768 (2023)
Cattle’s individual identification plays a crucial role in effectively managing large farms. To enhance agricultural efficiency, promote the digital transformation of animal husbandry, and improve animal welfare, it is essential to employ advanced
Externí odkaz:
https://doaj.org/article/b137f106de6d40a7bc648cfbf0e9a23c
Autor:
Yuqian Fan, Yi Li, Jifei Zhao, Linbing Wang, Chong Yan, Xiaoying Wu, Pingchuan Zhang, Jianping Wang, Guohong Gao, Liangliang Wei
Publikováno v:
Batteries, Vol 9, Iss 11, p 539 (2023)
With the rapid development of machine learning and cloud computing, deep learning methods based on big data have been widely applied in the assessment of lithium-ion battery health status. However, enhancing the accuracy and robustness of assessment
Externí odkaz:
https://doaj.org/article/5e1bc124114348cd8799ef99b5f634c3
Autor:
Guohong Gao, Chengchao Wang, Jianping Wang, Yingying Lv, Qian Li, Yuxin Ma, Xueyan Zhang, Zhiyu Li, Guanglan Chen
Publikováno v:
Sensors, Vol 23, Iss 18, p 7714 (2023)
Cattle behavior classification technology holds a crucial position within the realm of smart cattle farming. Addressing the requisites of cattle behavior classification in the agricultural sector, this paper presents a novel cattle behavior classific
Externí odkaz:
https://doaj.org/article/117722feb8e14e19ab5b486c8a88ff59
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Cutaneous melanoma could be treated by immunotherapy, which only has limited efficacy on uveal melanoma (UM). UM immunotyping for predicting immunotherapeutic responses and guiding immunotherapy should be better understood. This study identi
Externí odkaz:
https://doaj.org/article/6033d47f4ef2409f8231477417ba052d
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Molecular classification based on transcriptional characteristics is often used to study tumor heterogeneity. Human cancer has different cell populations with distinct transcription in tumors, and their heterogeneity is the focus of tumor therapy. Ou
Externí odkaz:
https://doaj.org/article/72817cf78e154353a77f9c1aef7b90a3
Autor:
Fanfan Guan, Yanrong Li, Guohong Gao, Hauke Zachert, Gerald Eichhoff, Mary Antonette Beroya-Eitner
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Tensile strength is an important parameter in many engineering applications. In loess slopes, for instance, it governs the development and propagation of tension cracks that usually ultimately lead to crack–sliding and toppling failures, which are
Externí odkaz:
https://doaj.org/article/b515e950bd5645c2ba56c5fef85169c1