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Title: source code for traffic sign recognition using neural networks in opencv
Page Link: source code for traffic sign recognition using neural networks in opencv -
Posted By:
Created at: Tuesday 29th of January 2013 10:31:29 PM
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source code for traffic sign recognition using neural networks ....etc

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Title: Study the working of full adder for three binary digits addition
Page Link: Study the working of full adder for three binary digits addition -
Posted By: seminar class
Created at: Friday 13th of May 2011 07:24:01 PM
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Name– study of full adder logic circuit.
Aim – to study the working of full adder for three binary digits addition.
Apparatus – IC 7408, IC 7486, IC 7432, circuit board, LEDs, power supply +5V DC, connecting wires, soldering iron, cutter etc.
Circuit diagram



Procedure –
1) Solder the circuit of full adder, on the given board.
2) Connect respective pins of each gate to the corresponding pins of other gate.
3) Connect the outputs ‘sum� ....etc

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Title: opencv gmm example
Page Link: opencv gmm example -
Posted By:
Created at: Wednesday 22nd of May 2013 01:45:18 PM
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I need to segment a video as foreground and background using GMM in openCV2.1 ....etc

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Title: abstract of control of dam gate using mobile phone by dtmf digits through voice call
Page Link: abstract of control of dam gate using mobile phone by dtmf digits through voice call -
Posted By:
Created at: Tuesday 18th of December 2012 05:54:48 PM
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please provide a clear cut explaination about this project. ....etc

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Title: Study the working of half adder for two binary digits addition
Page Link: Study the working of half adder for two binary digits addition -
Posted By: seminar class
Created at: Friday 13th of May 2011 07:15:21 PM
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Name– study of half adder logic circuit.
Aim – to study the working of half adder for two binary digits addition.
Apparatus – IC 7408, IC 7486, circuit board, LEDs, power supply +5V DC, connecting wires, soldering iron, cutter etc.
Circuit diagram


Procedure –
1) Solder the circuit on the given board.
2) Connect respective pins of each gate to the corresponding pins of other gate.
3) Connect the outputs ‘sum’ and ‘carry’ to two LEDs.
4) Apply diff ....etc

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Title:
Page Link: -
Posted By:
Created at: Thursday 01st of January 1970 08:00:00 AM
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....etc

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Title: opencv examples for fingerprint matching in android
Page Link: opencv examples for fingerprint matching in android -
Posted By:
Created at: Monday 21st of October 2013 02:59:49 AM
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Hi , please i need asimple example on how to use opencv liberary with fingerprint extraction ....etc

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Title: PROGRAM TO RECOGNIZE A STRING WITH THREE COSECUTIVE 0s
Page Link: PROGRAM TO RECOGNIZE A STRING WITH THREE COSECUTIVE 0s -
Posted By: smart paper boy
Created at: Wednesday 10th of August 2011 02:14:41 PM
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Algorithm:-

begin
if string=*000*
then
printf “Algorithm:-

string accepted”
else
printf “string rejected”
end

Program:-

LEX program to recognize a string with three consecutive 0’s

%%
*000* { printf(“string accepted”);}
* { printf(“string rejected”);}

%%

main()
{
yylex();
}\
int yywrap()
{
return 1;
}
....etc

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Title: ieee paper touch panel interface system which can recognize who touched the screen and where was pointed
Page Link: ieee paper touch panel interface system which can recognize who touched the screen and where was pointed -
Posted By:
Created at: Tuesday 15th of July 2014 05:03:01 AM
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Title: Neural Networks for Handwritten character and Digits
Page Link: Neural Networks for Handwritten character and Digits -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:53:25 AM
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Neural Networks for Handwritten character and Digits
Abstract: This article chronicles the development of an artificial neural network designed to recognize handwritten digits. Although some theory of neural networks is given here, it would be better if you already understood some neural network concepts, like neurons, layers, weights, and back propagation. The neural network described here is not a general-purpose neural network, and it's not some kind of a neural network workbench. Rather, we will focus on one very specific neural network (a ....etc

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