A thermal and congestion driven global router for 3D integrated circuits
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: 2014DOI: 10.1109/PMAPS.2014.6960635
Keyword(s): Boltzmann machines,building management systems,cooling,demand side management,heating,learning (artificial intelligence),power consumption,power engineering computing,power grids,stochastic processes,time series,ANN,CRBM,Dutch office building,HMM,artificial neural networks,automated methods,building automation system,building energy consumption estimation,conditional restricted Boltzmann machine,cooling system,decentralized renewable energy sources,electricity consumption
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A thermal and congestion driven global router for 3D integrated circuits
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| contributor author | Roy, D. , Ghosal, P. , Das, N. | |
| date accessioned | 2020-03-12T19:43:34Z | |
| date available | 2020-03-12T19:43:34Z | |
| date issued | 2014 | |
| identifier other | 6808065.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/987664?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A thermal and congestion driven global router for 3D integrated circuits | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8103691 | |
| subject keywords | Boltzmann machines | |
| subject keywords | building management systems | |
| subject keywords | cooling | |
| subject keywords | demand side management | |
| subject keywords | heating | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | power consumption | |
| subject keywords | power engineering computing | |
| subject keywords | power grids | |
| subject keywords | stochastic processes | |
| subject keywords | time series | |
| subject keywords | ANN | |
| subject keywords | CRBM | |
| subject keywords | Dutch office building | |
| subject keywords | HMM | |
| subject keywords | artificial neural networks | |
| subject keywords | automated methods | |
| subject keywords | building automation system | |
| subject keywords | building energy consumption estimation | |
| subject keywords | conditional restricted Boltzmann machine | |
| subject keywords | cooling system | |
| subject keywords | decentralized renewable energy sources | |
| subject keywords | electricity consumption | |
| identifier doi | 10.1109/PMAPS.2014.6960635 | |
| journal title | tudents' Technology Symposium (TechSym), 2014 IEEE | |
| filesize | 982077 | |
| citations | 0 |