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IJCNN
2006
IEEE
15 years 7 months ago
Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefac
—In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems with a complicated system. ANNs are becoming an important alternative ...
Deaho Cha, Michael Blumenstein, Hong Zhang, Dong-S...
CNSR
2009
IEEE
108views Communications» more  CNSR 2009»
15 years 5 months ago
A New Adaptive Prediction-Based Tracking Scheme for Wireless Sensor Networks
The accuracy of the object tracking is dependent on the tracking time interval. Smaller tracking time interval increases the accuracy of tracking a moving object. However, this inc...
Hadi Jamali Rad, Bahman Abolhassani, Mohammad Abdi...
PPL
2007
82views more  PPL 2007»
15 years 1 months ago
Improved Runtime and Transfer Time Prediction Mechanisms in a Network Enabled Servers Middleware
In this paper we address the problem of accurately estimating the runtime and communication time of a client request in a Network Enabled Server (NES) middleware such as GridSolve...
Emmanuel Jeannot, Keith Seymour, Asim YarKhan, Jac...
ICASSP
2009
IEEE
15 years 8 months ago
Predictive power control and multiple-description coding for wireless sensor networks
We study state estimation via wireless sensor networks over fading channels affected by random packet loss. In the configuration examined, the sensors send their measurements to ...
Jan Østergaard, Daniel E. Quevedo, Anders A...
FLAIRS
1998
15 years 3 months ago
Predicting Hospital Length of Stay with Neural Networks
Critical careprovidersare facedwithresourceshortagesandmust find waysto effectively plan their resourceutilization. Neural networksprovide a newmethodfor evaluating traumapatient ...
Steven Walczak, Walter E. Pofahl, Ronald J. Scorpi...