Design and characterization of a lab-on-chip for continuous bioluminescent measurements of ATP
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: 2014DOI: 10.1109/IGARSS.2014.6946661
Keyword(s): feature extraction,geophysical image processing,geophysical techniques,image classification,remote sensing by radar,synthetic aperture radar,Ho-Kashyap numerical algorithms,Markov random fields,PolSAR image,Powell numerical algorithms,SIR-C data,SVM classifier,admissible kernel functions,case-specific interpretation,case-specific techniques,complex vector space,complex-valued feature classification,complex-valued feature spaces,kernel Hilbert spaces,kernel-based approach,kern
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Design and characterization of a lab-on-chip for continuous bioluminescent measurements of ATP
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| contributor author | Shilun Feng , Tao Dong | |
| date accessioned | 2020-03-12T20:15:49Z | |
| date available | 2020-03-12T20:15:49Z | |
| date issued | 2014 | |
| identifier other | 6860076.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1008029?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Design and characterization of a lab-on-chip for continuous bioluminescent measurements of ATP | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8129804 | |
| subject keywords | feature extraction | |
| subject keywords | geophysical image processing | |
| subject keywords | geophysical techniques | |
| subject keywords | image classification | |
| subject keywords | remote sensing by radar | |
| subject keywords | synthetic aperture radar | |
| subject keywords | Ho-Kashyap numerical algorithms | |
| subject keywords | Markov random fields | |
| subject keywords | PolSAR image | |
| subject keywords | Powell numerical algorithms | |
| subject keywords | SIR-C data | |
| subject keywords | SVM classifier | |
| subject keywords | admissible kernel functions | |
| subject keywords | case-specific interpretation | |
| subject keywords | case-specific techniques | |
| subject keywords | complex vector space | |
| subject keywords | complex-valued feature classification | |
| subject keywords | complex-valued feature spaces | |
| subject keywords | kernel Hilbert spaces | |
| subject keywords | kernel-based approach | |
| subject keywords | kern | |
| identifier doi | 10.1109/IGARSS.2014.6946661 | |
| journal title | edical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on | |
| filesize | 918765 | |
| citations | 0 |