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In this paper, we investigate two different ways to implement modular exponentiation based on the evolved addition chain: the first approach consists of implementing all the exponentiation operation on hardware and the second approach combines software and hardware.
The current approach consists of implementing a low cost autonomous indoor tour guide robot running on an embedded system which is the Raspberry pi 2. The autonomous navigation is achieved through wall following using ultrasonic sensors and image processing using a simple webcam.
The second approach consists of implementing urban logistics initiatives, i.e. policies and regulations enacted by the public sector to foster sustainable logistics practices [5].
This approach consists of implementing a Bayesian random effects model in populations of 25 000 or less harnessing the improved precision obtained through intelligent Bayesian smoothing.
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Protocol-based approaches consist of implementing a network protocol that enables the distinction of virtual networks through techniques such as tagging or tunneling.
The second element consists of implementing the propagation model.
The next critical challenge for edtech entrepreneurs consists of implementing monetization strategies that will allow them to build sustainable businesses.
Thus, a single 28-day regimen consists of implementing the genetic algorithm 28 times.
The intervention consists of implementing SDM using a patient decision aid.
Our approach consists of two stages.
The novel approach consists of several steps.
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CEO of Professional Science Editing for Scientists @ prosciediting.com