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» Digital data networks design using genetic algorithms
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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 3 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...
SECON
2008
IEEE
14 years 3 months ago
Congestion-Aware Rate Adaptation in Wireless Networks: A Measurement-Driven Approach
—Traditional rate adaptation solutions for IEEE 802.11 wireless networks perform poorly in congested networks. Measurement studies show that congestion in a wireless network lead...
Prashanth Aravinda Kumar Acharya, Ashish Sharma, E...
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
14 years 17 days ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
INFOCOM
2010
IEEE
13 years 7 months ago
Efficient Resource Allocation with Flexible Channel Cooperation in OFDMA Cognitive Radio Networks
Recently, a cooperative paradigm for single-channel cognitive radio networks has been advocated, where primary users can leverage secondary users to relay their traffic. However, i...
Hong Xu, Baochun Li
SAC
2010
ACM
14 years 3 months ago
Mobile air pollution monitoring network
Current methods of estimating air quality involve assigning a single value called the Air Quality Index (AQI) to a large land area for a 24-hour period based on a very few, sparse...
W. Hedgecock, Péter Völgyesi, Á...