Zobrazeno 1 - 10
of 263
pro vyhledávání: '"WenMing Zheng"'
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 5, Iss 2, Pp 142-156 (2023)
Background: Recognizing human emotions by micro-expression recognition is one of the most critical issues in human-computer interaction applications. Cross-database micro-expression recognition (CDMER) is an increasingly significant problem in micro-
Externí odkaz:
https://doaj.org/article/a95d8dc981e044f3ade2de4a8d1ba072
Autor:
Wenli Lan, Ruimin Wang, Yikang He, Yuan Zong, Yue Leng, Keiji Iramina, Wenming Zheng, Sheng Ge
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 3545-3555 (2023)
The target recognition performance of steady-state visual evoked potential (SSVEP)-based brain-computer interfaces can be significantly improved with a training-based approach. However, the training procedure is time consuming and often causes fatigu
Externí odkaz:
https://doaj.org/article/e81293660069438bb4b402f7e35e77f3
Autor:
Yingchun Han, Na Liu, Chuang Li, Shuaiwu Wang, Lihua Jia, Rui Zhang, Hui Li, Jinfang Tan, Hongwei Xue, Wenming Zheng
Publikováno v:
Crop Journal, Vol 10, Iss 1, Pp 243-253 (2022)
Soil inorganic phosphate (Pi) levels are frequently suboptimal for the growth and development of crop plants. Although MADS-box genes participate in diverse plant developmental processes, their involvement in phosphate starvation responses (PSRs) rem
Externí odkaz:
https://doaj.org/article/5a439bf1d8a143e68d8e1297638d0160
Autor:
Chuang Li, Liuhui Qiao, Yanan Lu, Guozhen Xing, Xiaodong Wang, Gengyun Zhang, Huimin Qian, Yilin Shen, Yibo Zhang, Wen Yao, Kun Cheng, Zhenling Ma, Na Liu, Daowen Wang, Wenming Zheng
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 1 (2023)
ABSTRACT Chromosome evolution drives species evolution, speciation, and adaptive radiation. Accurate genome assembly is crucial to understanding chromosome evolution of species, such as dikaryotic fungi. Rust fungi (Pucciniales) in dikaryons represen
Externí odkaz:
https://doaj.org/article/fc6b3f103f2a4e0baac68578905cde46
Publikováno v:
Electronics Letters, Vol 57, Iss 25, Pp 970-972 (2021)
Abstract Multi‐view facial action unit (AU) analysis has been a challenging research topic due to multiple disturbing variables, including subject identity biases, variational facial action unit intensities, facial occlusions and non‐frontal head
Externí odkaz:
https://doaj.org/article/ced6bbb8b8f949f39138f41bc36cdb20
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 3, Iss 1, Pp 65-75 (2021)
Background: One of the most critical issues in human-computer interaction applications is recognizing human emotions based on speech. In recent years, the challenging problem of cross-corpus speech emotion recognition (SER) has generated extensive re
Externí odkaz:
https://doaj.org/article/0e598e79d9154488808afe63c583d041
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract The majority of human behaviors are composed of automatic movements (e.g., walking or finger-tapping) which are learned during nurturing and can be performed simultaneously without interfering with other tasks. One critical and yet to be exa
Externí odkaz:
https://doaj.org/article/35127a6e81a04bb78d29fe4c5336b140
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2022)
The main characteristic of depression is emotional dysfunction, manifested by increased levels of negative emotions and decreased levels of positive emotions. Therefore, accurate emotion recognition is an effective way to assess depression. Among the
Externí odkaz:
https://doaj.org/article/2db691ef16684fe1b7103a17b103e765
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107660- (2021)
This paper described the collection of multi-modal physiological signals, which include electroencephalography, electrocardiograph (ECG), photoplethysmography, electrodermal activity, temperature, and accelerometer data, recorded from 89 healthy coll
Externí odkaz:
https://doaj.org/article/565abc20f6ec4cfe9775f30446865917
Autor:
Na Liu, Shijun Jiang, Songli Feng, Wenyan Shang, Guozhen Xing, Rui Qiu, Chengjun Li, Shujun Li, Wenming Zheng
Publikováno v:
The Plant Pathology Journal, Vol 35, Iss 2, Pp 172-177 (2019)
A duplex PCR method was developed for simultaneous detection and identification of tobacco root rot pathogens Phytophthora nicotianae and Thielaviopsis basicola. The specific primers for P. nicotianae were developed based on its internal transcribed
Externí odkaz:
https://doaj.org/article/25882d9e002c4f93a9e9dfa749d0d430