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» Digital data networks design using genetic algorithms
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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
16 years 9 days 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
16 years 3 days 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»
15 years 9 months 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
15 years 3 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
16 years 7 days 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...