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ESWA
2008
169views more  ESWA 2008»
15 years 1 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
PERCOM
2003
ACM
16 years 1 months ago
Location Aware Resource Management in Smart Homes
Abstract-- The rapid advances in a wide range of wireless access technologies along with the efficient use of smart spaces have already set the stage for development of smart homes...
Abhishek Roy, Soumya K. Das Bhaumik, Amiya Bhattac...
CBMS
2005
IEEE
15 years 3 months ago
Prediction of Type II MODY3 Diabetes Using Backpercolation
In this study, a neural network based approach is used to predict the presence of Maturity Onset Diabetes type 3, referred as MODY3 Type II diabetes mellitus. The study has used b...
Nawaz Khan, Chukwuemeka A. Ikejiaku, Shahedur Rahm...
IEEECIT
2010
IEEE
15 years 4 days ago
A Learning Spectrum Hole Prediction Model for Cognitive Radio Systems
—In this paper, we present a new spectrum-hole prediction model for cognitive radio (CR) systems based on the IEEE 802.11 wireless local areas networks. We have also analyzed the...
Zhigang Wen, Chunxiao Fan, Xiaoying Zhang, Yuexin ...
IJON
2007
118views more  IJON 2007»
15 years 1 months ago
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, ...