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» Sensor Errors Prediction Using Neural Networks
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IJCNN
2007
IEEE
15 years 4 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
IJCNN
2006
IEEE
15 years 3 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
FLAIRS
2004
14 years 11 months ago
Backcalculation of Airport Flexible Pavement Non-Linear Moduli Using Artificial Neural Networks
The Heavy Weight Deflectometer (HWD) test is one of the most widely used tests for assessing the structural integrity of airport pavements in a non-destructive manner. The elastic...
Kasthurirangan Gopalakrishnan, Marshall R. Thompso...
SIGCOMM
1990
ACM
15 years 1 months ago
Reliable Broadband Communication Using a Burst Erasure Correcting Code
Traditionally, a transport protocol corrects errors in a computer communication network using a simple ARQ protocol. With the arrival of broadband networks, forward error correcti...
Anthony J. McAuley
EWSN
2007
Springer
15 years 9 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl