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ISCAS
2006
IEEE
84views Hardware» more  ISCAS 2006»
16 years 13 days ago
Programmable synaptic weights for an aVLSI network of spiking neurons
—We describe a spiking neuronal network which allows local synaptic weights to be assigned to individual synapses. In previous implementations of neuronal networks, the biases th...
Yingxue Wang, Shih-Chii Liu
WIOPT
2006
IEEE
16 years 12 days ago
Fairness and throughput guarantees with maximal scheduling in multi-hop wireless networks
Abstract— We investigate the fairness and throughput properties of a simple distributed scheduling policy, maximal scheduling, in the context of a general ad-hoc wireless network...
Saswati Sarkar, Prasanna Chaporkar, Koushik Kar
ICANN
2007
Springer
15 years 10 months ago
Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping
In todays bioinformatics, Mass spectrometry (MS) is the key technique for the identification of proteins. A prediction of spectrum peak intensities from pre computed molecular feat...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
ADHOC
2007
108views more  ADHOC 2007»
15 years 6 months ago
Hop-distance based addressing and routing for dense sensor networks without location information
One of the most challenging problems in wireless sensor networks is the design of scalable and efficient routing algorithms without location information. The use of specialized ha...
Serdar Vural, Eylem Ekici
177
Voted
ICASSP
2009
IEEE
16 years 1 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch