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» Neural Network Based Power Flow Predictor
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SMC
2007
IEEE
111views Control Systems» more  SMC 2007»
14 years 2 months ago
Prediction method to maintain QoS in weather impacted wireless and satellite networks
—Rain and snow can have a distorting effect on Ku and Ka bands signal fidelity resulting in excessive digital transmission errors. This loss of signal attenuation is commonly ref...
Kamal Harb, Anand Srinivasan, Changcheng Huang, Br...
DAC
2006
ACM
14 years 8 months ago
Optimality study of resource binding with multi-Vdds
Deploying multiple supply voltages (multi-Vdds) on one chip is an important technique to reduce dynamic power consumption. In this work we present an optimality study for resource...
Deming Chen, Jason Cong, Yiping Fan, Junjuan Xu
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 16 days ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
IJON
2007
120views more  IJON 2007»
13 years 7 months ago
Comparison of dynamical states of random networks with human EEG
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
FPGA
2007
ACM
185views FPGA» more  FPGA 2007»
14 years 1 months ago
Power-aware FPGA logic synthesis using binary decision diagrams
Power consumption in field programmable gate arrays (FPGAs) has become an important issue as the FPGA market has grown to include mobile platforms. In this work we present a power...
Kevin Oo Tinmaung, David Howland, Russell Tessier