|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Deep fake Generator |
| Authors Name: | Rahul Sharma , Sanskar singhal , Sonal Choudhary , Deepak moud |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_191383
|
| Published Paper Id: | IJNRD2304422 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Technological evaluation puts us at a really advanced stage nowadays. Over the last few decades, we have become in- increasingly reliant on machines. With the development of machine learning and artificial intelligence, machines have become smarter and can perform a greater variety of actions. There are synthetic media, such as photographs, videos, and audio files, that are used for a variety of reasons. In the past, media manipulation has always involved humans and has been heavily reliant on their needs. Deep-Fakes mainly refer to face swapping or making fake appearances of facial features of any human being. Recent developments in machine learning, deep learn- ing, and artificial intelligence (AI) enable users to swap the faces and voices of other people in images, videos, and films to make it appear as though they did something or are saying anything they want to refers to audio files manipulation. This technology is known as "deep-fake," which allows media manipulation using machine learning and AI. |
| Keywords: | Media copyright, advertisement, Deep-Fake, Convolutional Neu- ral Network(CNN), Deep Neural Networks (DNN),Deep Convolutional Neural Network(DCCGAN),Recurrant Neural Netowrk(RNN), Generative Adversarial Networks (GANs). |
| Cite Article: | "Deep fake Generator ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e152-e156, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304422.pdf |
| Downloads: | 000118757 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2304422 Registration ID: 191383 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: e152-e156 Country: Bhilwara, Rajasthan , india Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304422 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304422 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn