Zobrazeno 1 - 10
of 88
pro vyhledávání: '"J. Ulaczyk"'
Publikováno v:
Molecular Informatics
Molecular Informatics, Wiley-VCH, 2017, 36 (9), ⟨10.1002/minf.201600161⟩
Molecular Informatics, Wiley-VCH, 2017, 36 (9), ⟨10.1002/minf.201600161⟩
A data mining approach is proposed as a useful tool for the control parameters analysis of the 3-stage CIGSe photovoltaic cell production process, in order to find variables that are the most relevant for cell electric parameters and efficiency. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62d7dbcaee08290726545ae533344cff
https://hal.archives-ouvertes.fr/hal-01623098
https://hal.archives-ouvertes.fr/hal-01623098
Publikováno v:
Sensors and Actuators B: Chemical. 145:246-249
The paper reports an improved method for electronic nose that combines two identical or very similar sensor arrays mounted into two packages, each containing one array. The distance between the measured sensor signals of the odor samples is then anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6195657cce90e64d0117e71655ea78b6
https://doi.org/10.1016/j.snb.2009.12.005
https://doi.org/10.1016/j.snb.2009.12.005
Autor:
J. Ulaczyk, K. Brudzewski
Publikováno v:
Sensors and Actuators B: Chemical. 140:43-50
In this paper we describe a modified measurement method of dynamic responses of the electronic nose matrix containing seven TGS sensors. According to our idea, the odour pattern was extended, apart from commonly used elements such as relative amplitu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d40ea89370ee1cd7a61f676320adae87
https://doi.org/10.1016/j.snb.2009.04.028
https://doi.org/10.1016/j.snb.2009.04.028
Autor:
Zhang, Kaiyuan1,2 (AUTHOR) kaiyuanz0101@163.com, Ye, Bao-Lin1 (AUTHOR) xiaxiaoyun@zjxu.edu.cn, Xia, Xiaoyun1 (AUTHOR), Wang, Zijia3 (AUTHOR) yebaolin@zjxu.edu.cn, Zhang, Xianchao4 (AUTHOR) zhxianchao@zjxu.edu.cn, Jiang, Hai5 (AUTHOR) jhai@nao.cas.cn
Publikováno v:
Biomimetics (2313-7673). Dec2024, Vol. 9 Issue 12, p718. 23p.
Publikováno v:
Journal of Sensory Studies. 23:533-557
The article presents the neural methods of calibration of gas sensors for use in an artificial electronic nose for gas measurements. Different neural network solutions will be presented and compared. They include the classical multilayer perceptron,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2c583a25c276c267a21059994367d6d
https://doi.org/10.1111/j.1745-459x.2008.00171.x
https://doi.org/10.1111/j.1745-459x.2008.00171.x
Publikováno v:
Sensors and Actuators B: Chemical. 129:643-651
This paper discusses the problem of assessment of the similarity of smells on the basis of the gas sensor signals applied in an electronic nose system. We have compared the measures of similarity based on the geometrical description, the information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c3ade5e812e1d91386b73254d25b0d0
https://doi.org/10.1016/j.snb.2007.09.050
https://doi.org/10.1016/j.snb.2007.09.050
Publikováno v:
Sensors and Actuators B: Chemical. 122:493-502
The electronic nose measurement system composed of TGS a gas sensor array, cooperating with the support vector machine (SVM) to discriminate between enantiomeric odor pairs: (+) and (−) of α-pinene, carvone and limonene forms is proposed in the pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91d75c31d37789fb8da18777fba14b62
https://doi.org/10.1016/j.snb.2006.06.021
https://doi.org/10.1016/j.snb.2006.06.021
Publikováno v:
Fuel. 85:553-558
This paper reports on analysis of 45 gasoline samples with different qualities, namely, octane number and chemical composition. Measurements of data from gas chromatography and IR (FTIR) spectroscopy are used to gasoline quality prediction and classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfb4b69fefaace8842ebce9ea35205f0
https://doi.org/10.1016/j.fuel.2005.07.019
https://doi.org/10.1016/j.fuel.2005.07.019
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540287551
ICANN (2)
ICANN (2)
The paper presents the application of Support Vector Machine for recognition and classification of the bio-products in the gasoline. We consider the supplement of such bio-products, as ethanol, MTBE, ETBE and benzene. The recognition system contains
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10af0a500930aff0b7a842f87a05d8a4
https://doi.org/10.1007/11550907_142
https://doi.org/10.1007/11550907_142
Autor:
Li, Mengci1,2 (AUTHOR) limengci329@163.com, Wu, Chao3 (AUTHOR) cwu@nao.cas.cn, Kang, Zhe1,2 (AUTHOR) kangz@cho.ac.cn, Liu, Chengzhi1,2,4 (AUTHOR) cwu@nao.cas.cn, Deng, Shiyu1,3 (AUTHOR) lizw@cho.ac.cn, Li, Zhenwei1,2 (AUTHOR)
Publikováno v:
Universe (2218-1997). Jan2024, Vol. 10 Issue 1, p31. 30p.