Düşük Sükroz Derişimlerinin Görünür Bölge Spektroskopisi ve Yapay Sinir Aǧları ile Kestirimi
| dc.contributor.author | Mezgil, Bahadir | |
| dc.contributor.author | Erdogan, Duygu | |
| dc.contributor.author | Alduran, Yesim | |
| dc.contributor.author | Yildiz, Umit Hakan | |
| dc.contributor.author | Yildiz, Ahu Arslan | |
| dc.contributor.author | Bastanlar, Yahn | |
| dc.date.accessioned | 2017-11-01T12:33:45Z | |
| dc.date.available | 2017-11-01T12:33:45Z | |
| dc.date.issued | 2017 | |
| dc.description | Bastanlar, Yalin/0000-0002-3774-6872 | en_US |
| dc.description.abstract | Low sucrose concentrations in solutions is estimated by means of localized surface plasmon resonance of immobilized gold nanoparticles. The ultraviolet-visible spectra (UV-Vis) of samples with different sucrose concentrations were prepared and used to train artificial neural networks. In our study, MATLAB Neural Networks Toolbox was used and effect of different input sizes and network structures on the estimation accuracy is investigated. It is observed that using complete spectrum instead of peak point results in higher accuracy. | en_US |
| dc.identifier.citation | Mezgil, B., Erdoğan, D., Alduran, Y., Yıldız, Ü. H., Arslan Yıldız, A., and Baştanlar, Y. (2017, May 15-18). Düşük sükroz derişimlerinin görünür bölge spektroskopisi ve yapay sinir ağları ile kestirimi. Paper presented at the 25th Signal Processing and Communications Applications Conference. doi:10.1109/SIU.2017.7960184 | en_US |
| dc.identifier.doi | 10.1109/SIU.2017.7960184 | |
| dc.identifier.doi | 10.1109/SIU.2017.7960184 | en_US |
| dc.identifier.isbn | 9781509064946 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.scopus | 2-s2.0-85026288103 | |
| dc.identifier.uri | http://doi.org/10.1109/SIU.2017.7960184 | |
| dc.identifier.uri | https://hdl.handle.net/11147/6436 | |
| dc.language.iso | tr | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY | en_US |
| dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Sucrose Concentration Estimation | en_US |
| dc.subject | Artificial Neural Networks | en_US |
| dc.subject | Localized Plasmon Resonance | en_US |
| dc.subject | UV-Vis Spectroscopy | en_US |
| dc.title | Düşük Sükroz Derişimlerinin Görünür Bölge Spektroskopisi ve Yapay Sinir Aǧları ile Kestirimi | en_US |
| dc.title.alternative | Estimation of Low Sucrose Concentrations by UV-Vis Spectroscopy and Artificial Neural Networks | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Bastanlar, Yalin/0000-0002-3774-6872 | |
| gdc.author.id | Bastanlar, Yalin / 0000-0002-3774-6872 | en_US |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | İzmir Institute of Technology. Computer Engineering | en_US |
| gdc.description.departmenttemp | [Mezgil, Bahadir; Bastanlar, Yahn] Izmir Yuksek Teknol Enstitusu, Bilgisayar Muhendisligi Bolumu, Izmir, Turkey; [Erdogan, Duygu; Yildiz, Ahu Arslan] Izmir Yuksek Teknol Enstitusu, Biyomuhendisl Bolumu, Izmir, Turkey; [Alduran, Yesim; Yildiz, Umit Hakan] Izmir Yuksek Teknol Enstitusu, Kimya Bolumu, Izmir, Turkey | en_US |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 1 | |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W2729707171 | |
| gdc.identifier.wos | WOS:000413813100048 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 0.0 | |
| gdc.oaire.influence | 2.635068E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.popularity | 1.12126E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.sciencefields | 0210 nano-technology | |
| gdc.oaire.sciencefields | 01 natural sciences | |
| gdc.oaire.sciencefields | 0104 chemical sciences | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 0.0 | |
| gdc.openalex.normalizedpercentile | 0.05 | |
| gdc.opencitations.count | 0 | |
| gdc.plumx.mendeley | 4 | |
| gdc.plumx.scopuscites | 0 | |
| gdc.scopus.citedcount | 0 | |
| gdc.wos.citedcount | 0 | |
| relation.isAuthorOfPublication.latestForDiscovery | e62372ca-e832-42b7-a3ed-e797eccc777a | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 9af2b05f-28ac-4011-8abe-a4dfe192da5e |