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What is Generator

Applications of Computational Science in Artificial Intelligence
It is an element in the group in which all the different powers of that element give all the different elements of the group.
Published in Chapter:
Power Pell Sequences, Some Periodic Relations of These Sequences, and a Cryptographic Application With Power Pell Sequences
Çağla Çelemoğlu (Ondokuz Mayis University, Turkey), Selime Beyza Özçevik (Ondokuz Mayıs University, Turkey), and Şenol Eren (Ondokuz Mayıs University, Turkey)
Copyright: © 2022 |Pages: 23
DOI: 10.4018/978-1-7998-9012-6.ch002
Abstract
Here, first of all, the authors investigated power Fibonacci sequence modulo k and formulas for the periods of these sequences, based on the period of the Fibonacci sequence modulo k. And then, the authors described a new power sequence for positive integer modulus. They named these sequences power Pell sequences modulo k. After that the authors determined those positive integer moduli for which this sequence exists and the number of such sequences for a given modulo k. In addition, the authors provide formulas for the periods of these sequences, based on the period of the Pell sequence modulo k, and they studied sequence/subsequence relationships between power Pell sequences. Finally, the authors examined ElGamal cryptosystem which is one of the asymmetric cryptographic systems and ElGamal cryptosystem which is obtained by using some power sequences. And they obtained asymmetric cryptographic applications by using power Pell sequences which the authors described.
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More Results
A Proposed Solution for Identifying Online Fake Reviews in the Research Process
An advanced tool who can post hundreds of credible reviews, very difficult to detect even with special programs.
Full Text Chapter Download: US $37.50 Add to Cart
Text to Image Synthesis Using Multistage Stack GAN
The generator is part of a GAN, and it learns to create fake data by taking feedback from the discriminator. The portion of the GAN that trains the generator includes random input, generator network, discriminator network, discriminator output, and generator loss.
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