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VLSID
2006
IEEE
129views VLSI» more  VLSID 2006»
16 years 7 months ago
Modeling and Reduction of Gate Leakage during Behavioral Synthesis of NanoCMOS Circuits
For a nanoCMOS of sub-65nm technology, where the gate oxide (SiO2) thickness is very low, the gate leakage is one of the major components of power dissipation. In this paper, we pr...
Saraju P. Mohanty, Elias Kougianos
ECSQARU
2005
Springer
16 years 3 days ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...
ATS
2010
IEEE
229views Hardware» more  ATS 2010»
15 years 4 months ago
Variation-Aware Fault Modeling
Abstract--To achieve a high product quality for nano-scale systems both realistic defect mechanisms and process variations must be taken into account. While existing approaches for...
Fabian Hopsch, Bernd Becker, Sybille Hellebrand, I...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 10 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
BMCBI
2005
114views more  BMCBI 2005»
15 years 6 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio