Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Zhengjie Gao"'
Autor:
Xiamei Kang, Canghong Jin, Pengkun Gu, Song Wang, Zhengjie Gao, Chenyi Dai, Xiao Zhou, Abubakar Siddique, Haiyang Zhou, Linlin Huang, Yan Li, Min Yue
Publikováno v:
Animal Diseases, Vol 4, Iss 1, Pp 1-11 (2024)
Abstract Pullorum disease and fowl typhoid are caused by the Salmonella serovars Gallinarum biovars Pullorum and Gallinarum, respectively. The prevalence of these diseases varies across regions and is affected by different risk factors that remain in
Externí odkaz:
https://doaj.org/article/c9e9e8501cd94a5199c14ab1ac906c92
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Aspect-based sentiment analysis (ABSA) is a challenging task due to the presence of multiple aspect words with different sentiment polarities in a sentence. Recently, pre-trained language models like BERT have been widely used as context enc
Externí odkaz:
https://doaj.org/article/5d074dce7029422697431680bcd46843
Autor:
Xiaming Yang, Renping Zhang, Jing Guo, Liangliang Zhang, Xueping Gou, Zhengjie Gao, Xuewei Liu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13387-13399 (2024)
Ecosystem health is a key indicator of regional sustainable development and is important for guiding regional ecological improvement. However, long-term time-series analyses of ecosystem health, its drivers, and changes related to future trends have
Externí odkaz:
https://doaj.org/article/1c53f52ce26645bb9c33db7f0841acdc
Publikováno v:
Journal of Computing and Information Technology, Vol 32, Iss 1, Pp 47-64 (2024)
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) and have been widely adopted in various applications such as machine translation, chatbots, text summarization, and so on. However, the use of LLMs has raised concerns
Externí odkaz:
https://doaj.org/article/5922065083df4bfd9e09ebda90d48a91
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract Sentiment analysis aims to determine the sentiment orientation of a text piece (sentence or document), but many practical applications require more in-depth analysis, which makes finer-grained sentiment classification the ideal solution. Asp
Externí odkaz:
https://doaj.org/article/3f79b95600c04d69bfc94efc4c63dd50
Autor:
Jinzhu Meng, Qiuye Li, Lilin Xiao, Weichen Liu, Zhengjie Gao, Lin Gong, Xianyong Lan, Shuilian Wang
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2024)
The objective of the present study was to investigate the potential role of immunization against INH on follicular development, serum reproductive hormone (FSH, E2, and P4) concentrations, and reproductive performance in beef cattle. A total of 196 n
Externí odkaz:
https://doaj.org/article/dda7474d672b4437a74b3d2655aa9ed3
Publikováno v:
IEEE Access, Vol 8, Pp 177734-177744 (2020)
This paper focused on three application problems of the traditional Deep Deterministic Policy Gradient(DDPG) algorithm. That is, the agent exploration is insufficient, the neural network performance is unsatisfied, the agent output fluctuates greatly
Externí odkaz:
https://doaj.org/article/11f5c8a5c57a4bb68ca0e7238e046cb2
Autor:
Bin Yu, Kaixian Ba, Yaliang Liu, Zhengguo Jin, Qixin Zhu, Zhengjie Gao, Guoliang Ma, Xiangdong Kong
Publikováno v:
IEEE Access, Vol 7, Pp 11237-11245 (2019)
A hydraulic drive unit (HDU), applied in each joint of a hydraulic driven legged robot, usually adopts the impedance control outer loop based on the hydraulic position or the force control inner loop during the motion process. When the hydraulic cont
Externí odkaz:
https://doaj.org/article/c86318e689ec4941a2657a85744a79f3
Publikováno v:
IEEE Access, Vol 7, Pp 154290-154299 (2019)
Research on machine assisted text analysis follows the rapid development of digital media, and sentiment analysis is among the prevalent applications. Traditional sentiment analysis methods require complex feature engineering, and embedding represent
Externí odkaz:
https://doaj.org/article/63521e06357543a290717dd56689f5c4
Publikováno v:
Complexity, Vol 2020 (2020)
Hydraulic drive mode enables legged robots to have excellent characteristics, such as greater power-to-weight ratios, higher load capacities, and faster response speeds than other robots. Nowadays, highly integrated valve-controlled cylinder, called
Externí odkaz:
https://doaj.org/article/01cce43029bd44cda4ee218bc5b30c1a