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Paper Title

IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING

Authors

Anish Kiran , Arvind Rao , Sagar S Bhat , Vinod B Durdi

Keywords

Wireless Communication, Speech Recognition, Deep Learning, Cryptography, Cloud Computing, Web Development

Abstract

Communication can take many different forms, including gestural, written, vocal, and visual. These types can frequently be converted into one another's formats. For someone who cannot understand or does not have the ability to recognise the type of communication being employed, this step becomes extremely crucial. This project's main goal is to convert text formats into speech formats and vice versa using the MFCC Algorithm, which is more accurate and efficient than conventional systems. The project's target audience includes people who cannot read i.e illiterates, and those who have visual impairments i.e blind people.To make the system more user-friendly, a web application is created specifically for this purpose. All messages are uploaded to the cloud, i.e., the firebase console, via a wireless channel.The project makes use of an Arduino UNO and an ESP8266 NodeMCU Wi-Fi module for this purpose. In today's world, any communication involving the internet and network applications necessitates security and protection. For this purpose, a powerful data hiding RBA algorithm has been developed.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.7, Issue 7, page no.402 - 408, July-2022, Available :https://ijrti.org/papers/IJRTI2207059.pdf
APA — 7th edition
Kiran, A., Rao, A., Bhat, S. S., & Durdi, V. B. (2022). IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING. International Journal for Research Trends and Innovation, 7(7), 402 - 408. https://ijrti.org/viewpaperforall.php?paper=IJRTI2207059
MLA — 9th edition
Kiran, Anish, et al. "IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING." International Journal for Research Trends and Innovation, vol. 7, no. 7, 2022, pp. 402 - 408, https://ijrti.org/viewpaperforall.php?paper=IJRTI2207059.
Chicago — 17th, bibliography
Kiran, Anish, et al. "IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING." International Journal for Research Trends and Innovation 7, no. 7 (2022): 402 - 408. https://ijrti.org/viewpaperforall.php?paper=IJRTI2207059.
Harvard — author–date
Kiran, A. et al. (2022) 'IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING', International Journal for Research Trends and Innovation, 7(7), pp. 402 - 408. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2207059
IEEE — numbered reference
A. Kiran, A. Rao, S. S. Bhat and V. B. Durdi, "IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING," IJRTI, vol. 7, no. 7, pp. 402 - 408, Jul. 2022.
Vancouver — biomedical
Kiran A, Rao A, Bhat SS, Durdi VB. IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING. IJRTI. 2022 Jul;7(7):402 - 408.
AMA — 11th edition
Kiran A, Rao A, Bhat SS, Durdi VB. IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING. IJRTI. 2022;7(7):402 - 408. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2207059
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2207059, author = {Anish Kiran and Arvind Rao and Sagar S Bhat and Vinod B Durdi}, title = {IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING}, journal = {International Journal for Research Trends and Innovation}, volume = {7}, number = {7}, pages = {402 - 408}, year = {2022}, month = {July}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2207059} }
RIS — EndNote, RefWorks
TY - JOUR AU - Kiran, Anish AU - Rao, Arvind AU - Bhat, Sagar S AU - Durdi, Vinod B TI - IMPLEMENTATION OF CLOUD BASED INTELLIGENT WIRELESS NETWORKS USING DEEP LEARNING T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 7 IS - 7 PY - 2022 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2207059 SP - 402 EP - 408 ER -

Issue

Volume 7 Issue 7, July-2022
Pages : 402 - 408

Other Publication Details

Paper Reg. ID IJRTI_182950
Published Paper ID IJRTI2207059
Downloads 205,627
Research Area Engineering
Country Bangalore , Karnataka , India
Published July 2022

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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Licence

© 2022 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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