Towards more accurate multi-label software behavior learning
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/ICGCCEE.2014.6922280
کلیدواژه(گان): CMOS integrated circuits,SRAM chips,VLSI,low-power electronics,VLSI design,adiabatic SRAM,digital chip,frequency 10 MHz to 200 MHz,low power memory cell structures,memory circuits,power reduction,static CMOS implementation,technology scaling,CMOS integrated circuits,Circuit stability,Microprocessors,Power demand,SRAM cells,Transistors,Energy Recovery,IRS scheme,Memory,Stack effect
کالکشن
:
-
آمار بازدید
Towards more accurate multi-label software behavior learning
Show full item record
| date accessioned | 2020-03-12T19:31:15Z | |
| date available | 2020-03-12T19:31:15Z | |
| date issued | 2014 | |
| identifier other | 6747163.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/980460 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Towards more accurate multi-label software behavior learning | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8094786 | |
| subject keywords | CMOS integrated circuits | |
| subject keywords | SRAM chips | |
| subject keywords | VLSI | |
| subject keywords | low-power electronics | |
| subject keywords | VLSI design | |
| subject keywords | adiabatic SRAM | |
| subject keywords | digital chip | |
| subject keywords | frequency 10 MHz to 200 MHz | |
| subject keywords | low power memory cell structures | |
| subject keywords | memory circuits | |
| subject keywords | power reduction | |
| subject keywords | static CMOS implementation | |
| subject keywords | technology scaling | |
| subject keywords | CMOS integrated circuits | |
| subject keywords | Circuit stability | |
| subject keywords | Microprocessors | |
| subject keywords | Power demand | |
| subject keywords | SRAM cells | |
| subject keywords | Transistors | |
| subject keywords | Energy Recovery | |
| subject keywords | IRS scheme | |
| subject keywords | Memory | |
| subject keywords | Stack effect | |
| identifier doi | 10.1109/ICGCCEE.2014.6922280 | |
| journal title | oftware Maintenance, Reengineering and Reverse Engineering (CSMR-WCRE), 2014 Software Evolution Week | |
| filesize | 403014 | |
| citations | 0 | |
| contributor rawauthor | Xin Xia , Yang Feng , Lo, D. , Zhenyu Chen , Xinyu Wang |