A 0.008-mm<sup>2</sup> area-optimized thermal-diffusivity-based temperature sensor in 160-nm CMOS for SoC thermal monitoring
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: 2014DOI: 10.1109/ICPHM.2014.7036376
Keyword(s): Computational modeling,Kernel,Mathematical model,Predictive models,Support vector machines,Time series analysis,Training,Least Squares Support Vector Regression (LS-SVR),incremental learning algorithm,multiple kernel learning (MKL),online prediction,time series
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A 0.008-mm<sup>2</sup> area-optimized thermal-diffusivity-based temperature sensor in 160-nm CMOS for SoC thermal monitoring
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| contributor author | Sonmez, U. | |
| contributor author | Rui Quan | |
| contributor author | Sebastiano, F. | |
| contributor author | Makinwa, K.A.A. | |
| date accessioned | 2020-03-12T21:25:12Z | |
| date available | 2020-03-12T21:25:12Z | |
| date issued | 2014 | |
| identifier other | 6942105.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1048519?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A 0.008-mm<sup>2</sup> area-optimized thermal-diffusivity-based temperature sensor in 160-nm CMOS for SoC thermal monitoring | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8177947 | |
| subject keywords | Computational modeling | |
| subject keywords | Kernel | |
| subject keywords | Mathematical model | |
| subject keywords | Predictive models | |
| subject keywords | Support vector machines | |
| subject keywords | Time series analysis | |
| subject keywords | Training | |
| subject keywords | Least Squares Support Vector Regression (LS-SVR) | |
| subject keywords | incremental learning algorithm | |
| subject keywords | multiple kernel learning (MKL) | |
| subject keywords | online prediction | |
| subject keywords | time series | |
| identifier doi | 10.1109/ICPHM.2014.7036376 | |
| journal title | uropean Solid State Circuits Conference (ESSCIRC), ESSCIRC 2014 - 40th | |
| filesize | 3514845 | |
| citations | 0 |