@inproceedings{40dfc0a5b0ac4da5b9c7d756445d2d5d,
title = "Recurrent Neural Networks for Signature Generation",
abstract = "A new technique for producing hash values for text documents is introduced in this report. The method uses Recurrent Neural Networks (RNN). RNNs are functionally and temporally dependent on the input vectors of the neural networks (RNN). RNN 's capacity to integrate current values of inputs with previous values that manipulate the associations and the semanticists of the document constitutes a competitive framework for discovering internal interpretations of document details in a special way. In contrast to conventional approaches, two forms of RNNs are evaluated. Current approaches have been adequately examined and the effects of this study reveal the applicability of this artificial intelligence model to construct hash values for plain text. RNNs are very lightweight , portable and parallel in nature and their abilities are used as a potential professional document hashing technology is presented in this article.",
keywords = "Collision Probabilities, Hashing Methods, Intelligent Paradigms, Message Digest, Recurrent Neural Network",
author = "Zitar, \{Raed Abu\} and Mirna Nachouki and Hanan Hussain and Farid Alzboun",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2020 ; Conference date: 17-10-2020 Through 19-10-2020",
year = "2020",
month = oct,
day = "17",
doi = "10.1109/CISP-BMEI51763.2020.9263638",
language = "English",
series = "Proceedings - 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1093--1097",
editor = "Qiang Zheng and Xiaopeng Zheng and Xiangfu Zhao and Weiqing Yan and Nan Zhang and Lipo Wang",
booktitle = "Proceedings - 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2020",
address = "United States",
}