Establishing and maintaining wireless communication coverage among multiple mobile robots using artificial neural network

2011 ◽  
Author(s):  
Xu Zhong ◽  
Yu Zhou
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wireless Communication ◽  
Mobile Robots ◽  
Multiple Mobile Robots ◽  
Artificial Neural

scholarly journals ANN Based Equalization using Coded Inputs in Nakagami-m Faded Channel

2012 ◽  
pp. 285-288
Author(s):  
Bidyut Bikash Baruah ◽  
Kandarpa Kumar Sarma
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wireless Communication ◽  
Improve Performance ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Inter Symbol Interference

Equalization is often used in wireless communication to mitigate the effects of Inter Symbol Interference (ISI). The Artificial Neural Network (ANN) has been a preferred tool for performing equalization to reduce ISI. This work describes the use of ANN and coding to improve performance of an equalizer, designed to tackle fading effects of Nakagami-m channel. Improvement in performance has been shown for coded transmission over uncoded one in Nakagami-m channel with ANN based equalization.

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural
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