Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tianyu Ge"'
Autor:
Bohong Chen, Shengcheng Deng, Tianyu Ge, Miaoman Ye, Jianping Yu, Song Lin, Wenbin Ma, Zhou Songyang
Publikováno v:
Protein & Cell, Vol 11, Iss 9, Pp 641-660 (2020)
Abstract In mammalian cells, long noncoding RNAs (lncRNAs) form complexes with proteins to execute various biological functions such as gene transcription, RNA processing and other signaling activities. However, methods to track endogenous lncRNA dyn
Externí odkaz:
https://doaj.org/article/d25fcbe6094f4ba6bfdf13c5e6ab422d
Autor:
Zhiming Guo, Yuhang Geng, Chuan Wang, Yi Xue, Deng Sun, Zhaoxia Lou, Tianbao Chen, Tianyu Geng, Longzhe Quan
Publikováno v:
Artificial Intelligence in Agriculture, Vol 12, Iss , Pp 85-96 (2024)
Autonomous navigation in farmlands is one of the key technologies for achieving autonomous management in maize fields. Among various navigation techniques, visual navigation using widely available RGB images is a cost-effective solution. However, cur
Externí odkaz:
https://doaj.org/article/e2716d9b0aac484f9b272c90aa671b91
Autor:
Rui Huang, Junjiu Huang, Miaoman Ye, Zhou Songyang, Yaofu Bai, Jianping Yu, Tianyu Ge, Wenbin Ma, Guang Shi, Weisi Lu, Bohong Chen
Publikováno v:
Stem Cells. 37:743-753
The scaffold protein Symplekin (Sympk) is involved in cytoplasmic RNA polyadenylation, transcriptional modulation, and the regulation of epithelial differentiation and proliferation via tight junctions. It is highly expressed in embryonic stem cells
Autor:
Tianyu Geng
Publikováno v:
IEEE Access, Vol 12, Pp 40582-40596 (2024)
Text is an essential means for humans to acquire information and engage in social communication. Accurate text extraction from images is crucial for various tasks in real-life scenarios and scene understanding. However, text detection and recognition
Externí odkaz:
https://doaj.org/article/b4ee11a9bfc04d578e2228f1e0548361
Publikováno v:
Journal of Materials Research and Technology, Vol 25, Iss , Pp 5950-5963 (2023)
TNM alloy is a new kind of lightweight and high temperature resistant material. Electrochemical machining (ECM) is an ideal manufacturing method for TNM alloy because of its high machining efficiency and good machining quality. In this work, the diss
Externí odkaz:
https://doaj.org/article/0e58bcfa81a14b7b95a24a111e1b1432
Autor:
Longzhe Quan, Keyong Chen, Tianbao Chen, Hailong Li, Wenchang Li, Tianyu Cheng, Fulin Xia, Zhaoxia Lou, Tianyu Geng, Deng Sun, Wei Jiang
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Currently, mechanical and chemical damage is the main way to carry out weed control. The use of chlorophyll fluorescence (CF) technology to nondestructively monitor the stress physiological state of weeds is significant to reveal the damage mechanism
Externí odkaz:
https://doaj.org/article/6e774ce5d2554d85867cbee15a6c9eb4
Publikováno v:
Sensors, Vol 23, Iss 2, p 809 (2023)
Time series forecasting is a very vital research topic. The scale of time series in numerous industries has risen considerably in recent years as a result of the advancement of information technology. However, the existing algorithms pay little atten
Externí odkaz:
https://doaj.org/article/af3a3c84f4ab45ccac222b1854f63919
Publikováno v:
IEEE Access, Vol 7, Pp 155242-155250 (2019)
Wireless Sensor Networks (WSNs) have been deeply studied by many researchers and been widely used in many fields. Since a large amount of energy for WSNs is used for sensing and transmitting, researchers come up with many methods to reduce the number
Externí odkaz:
https://doaj.org/article/b5421b0d47ca4a7daf122379fb336c03
Publikováno v:
IEEE Access, Vol 7, Pp 135220-135230 (2019)
In wireless sensor networks (WSNs), data recovery is an indispensable operation for data loss or energy constrained WSNs using sparse sampling. However, the recovery accuracy is not satisfying for WSNs with various sensor types due to the neglect of
Externí odkaz:
https://doaj.org/article/31da8678e3b043c8bf9219c25cf3dad0
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-7 (2018)
Abstract Recently, deep convolutional networks have demonstrated their capability of improving the discriminative power compared with other machine learning method, but its feature learning mechanism is not very clear. In this paper, we present a cas
Externí odkaz:
https://doaj.org/article/0f80a57f68bf46188930b298a5c2a855