Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components
A multistage recognition approach is advanced for poorly classified clusters.
 According to this approach, if a sample is related to a cluster that is common for several
 samples, then further object recognition (within that cluster) is possible. Such two-stage
 recognition p...
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| Published in: | Semiconductor Physics Quantum Electronics & Optoelectronics |
|---|---|
| Date: | 2008 |
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2008
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| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/119056 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components / I.V. Kruglenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2008. — Т. 11, № 3. — С. 240-244. — Бібліогр.: 14 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| _version_ | 1862635899780595712 |
|---|---|
| author | Kruglenko, I.V. |
| author_facet | Kruglenko, I.V. |
| citation_txt | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components / I.V. Kruglenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2008. — Т. 11, № 3. — С. 240-244. — Бібліогр.: 14 назв. — англ. |
| collection | DSpace DC |
| container_title | Semiconductor Physics Quantum Electronics & Optoelectronics |
| description | A multistage recognition approach is advanced for poorly classified clusters.
According to this approach, if a sample is related to a cluster that is common for several
samples, then further object recognition (within that cluster) is possible. Such two-stage
recognition procedure is based, at each stage, on the fuzzy logic concept and enables one
to perform practically complete recognition of all the samples under consideration.
|
| first_indexed | 2025-11-30T20:49:23Z |
| format | Article |
| fulltext | |
| id | nasplib_isofts_kiev_ua-123456789-119056 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 1560-8034 |
| language | English |
| last_indexed | 2025-11-30T20:49:23Z |
| publishDate | 2008 |
| publisher | Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| record_format | dspace |
| spelling | Kruglenko, I.V. 2017-06-03T04:49:19Z 2017-06-03T04:49:19Z 2008 Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components / I.V. Kruglenko // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2008. — Т. 11, № 3. — С. 240-244. — Бібліогр.: 14 назв. — англ. 1560-8034 PACS https://nasplib.isofts.kiev.ua/handle/123456789/119056 A multistage recognition approach is advanced for poorly classified clusters.
 According to this approach, if a sample is related to a cluster that is common for several
 samples, then further object recognition (within that cluster) is possible. Such two-stage
 recognition procedure is based, at each stage, on the fuzzy logic concept and enables one
 to perform practically complete recognition of all the samples under consideration. The author is grateful to Dr. B. Snopok for helpful
 discussions. en Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України Semiconductor Physics Quantum Electronics & Optoelectronics Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components Article published earlier |
| spellingShingle | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components Kruglenko, I.V. |
| title | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_full | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_fullStr | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_full_unstemmed | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_short | Improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| title_sort | improvement of sensor response reproducibility and multistage recognition approach for samples with dominant components |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/119056 |
| work_keys_str_mv | AT kruglenkoiv improvementofsensorresponsereproducibilityandmultistagerecognitionapproachforsampleswithdominantcomponents |