Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Tailai Huang"'
Publikováno v:
Poultry Science, Vol 102, Iss 6, Pp 102638- (2023)
ABSTRACT: This experiment was carried out to investigate the mechanism of action of mulberry leaf extract (MLE) in reducing abdominal fat accumulation in female broilers. A total of 192 one-day-old female Arbor Acres (AA) broilers were divided into 4
Externí odkaz:
https://doaj.org/article/7c695617ae24476c8961838bb52e4a49
Autor:
Xiang Zhang, Tailai Huang, Aminjon Gulakhmadov, Yu Song, Xihui Gu, Jiangyuan Zeng, Shuzhe Huang, Won-Ho Nam, Nengcheng Chen, Dev Niyogi
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3536 (2022)
The all-weather high-resolution air temperature data is crucial for understanding the urban thermal conditions with their spatio-temporal characteristics, driving factors, socio-economic and environmental consequences. In this study, we developed a n
Externí odkaz:
https://doaj.org/article/6c6a630f37dc40c6a2c91c9c05cd9aab
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3904 (2021)
Air temperature is one of the most essential variables in understanding global warming as well as variations of climate, hydrology, and eco-systems. However, current products and assimilation approaches alone can provide temperature data with high re
Externí odkaz:
https://doaj.org/article/9a817a160416451e93ebe671ed13ee92
Publikováno v:
Sensors, Vol 16, Iss 9, p 1462 (2016)
Electronic nose (E-nose), as a device intended to detect odors or flavors, has been widely used in many fields. Many labeled samples are needed to gain an ideal E-nose classification model. However, the labeled samples are not easy to obtain and ther
Externí odkaz:
https://doaj.org/article/b2b48d4eb4e942aebfda77348743b609
Publikováno v:
Sensors, Vol 16, Iss 7, p 1019 (2016)
An electronic nose (E-nose) consisting of 14 metal oxide gas sensors and one electronic chemical gas sensor has been constructed to identify four different classes of wound infection. However, the classification results of the E-nose are not ideal if
Externí odkaz:
https://doaj.org/article/6b580b7704a24a2b8277d2a2213971e7
Publikováno v:
Sensors, Vol 16, Iss 3, p 370 (2016)
When an electronic nose (E-nose) is used to distinguish different kinds of gases, the label information of the target gas could be lost due to some fault of the operators or some other reason, although this is not expected. Another fact is that the c
Externí odkaz:
https://doaj.org/article/0a6f266f710542349ff25f83d1042909
Autor:
JUNJUN CAO, FU GUAN, XIANG ZHANG, WON-HO NAM, GUOYONG LENG, HAORAN GAO, QINGQING YE, XIHUI GU, JIANGYUAN ZENG, XU ZHANG, TAILAI HUANG, DEV NIYOGI
Publikováno v:
Journal of Applied Meteorology & Climatology; Oct2023, Vol. 62 Issue 10, p1415-1435, 21p
Publikováno v:
Remote Sensing; Volume 13; Issue 19; Pages: 3904
Remote Sensing, Vol 13, Iss 3904, p 3904 (2021)
Remote Sensing, Vol 13, Iss 3904, p 3904 (2021)
Air temperature is one of the most essential variables in understanding global warming as well as variations of climate, hydrology, and eco-systems. However, current products and assimilation approaches alone can provide temperature data with high re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::182d4f56cb3255e38b4349d5de432d21
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 8; Pages: 1275
Sensors; Volume 16; Issue 8; Pages: 1275
An electronic nose (E-nose) is an intelligent system that we will use in this paper to distinguish three indoor pollutant gases (benzene (C6H6), toluene (C7H8), formaldehyde (CH2O)) and carbon monoxide (CO). The algorithm is a key part of an E-nose s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c1f53628d47c8602a3ea2dbd5397bbf
https://pubmed.ncbi.nlm.nih.gov/27529247
https://pubmed.ncbi.nlm.nih.gov/27529247
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 7; Pages: 1019
Sensors, Vol 16, Iss 7, p 1019 (2016)
Sensors; Volume 16; Issue 7; Pages: 1019
Sensors, Vol 16, Iss 7, p 1019 (2016)
An electronic nose (E-nose) consisting of 14 metal oxide gas sensors and one electronic chemical gas sensor has been constructed to identify four different classes of wound infection. However, the classification results of the E-nose are not ideal if
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7758df7ddd5fc69bcf542bc9baf8a2c7
https://pubmed.ncbi.nlm.nih.gov/27376295
https://pubmed.ncbi.nlm.nih.gov/27376295