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Hello boss 06-05-17 Kl lotteery guess number ....etc

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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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:-/ Hi i am Debasish i want to get finger print 8 digit register code. ....etc

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344443677)5543215677777654444356778899@&&&));::.,(!&&7)55₹8 ....etc

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please provide a clear cut explaination about this project. ....etc

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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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How can I calculate the last three winning number of kerela lottery ....etc

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Abstract—Given a data point set , a query point set , and an integer , the Group Nearest Group (GNG) query finds a subset ( ) of points from such that the total distance from all points in to the nearest point in is not greater than any other subset ( ) of points in . GNG query is a partition-based clustering problem which can be found in many real applications and is NP-hard. In this paper, Exhaustive Hierarchical Combination (EHC) algorithm and Subset Hierarchial Refinement (SHR) algorithm are developed for GNG query pr ....etc

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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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