Skip To Main Content
Necaattin Barışçı on Muck Rack

Necaattin Barışçı

As seen in: MDPI, PeerJ
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Necaattin

Contact Necaattin, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices

|
By Mustafa AM, Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı
| PeerJ
BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices 1Department of Information and Communication Technologies, HAVELSAN, Ankara, Turkey 2IoTLab, Department of Computer Engineering, Gazi University, Ankara, Turkey DOI 10.7717/peerj-cs.2918 Academic Editor Giovanni Angiulli Subject Areas Artificial Intelligence, Computer Vision, Security and Privacy, Neural Networks, Blockchain...
Open in Who Shared Issue with article?

Lip-Reading Classification of Turkish Digits Using Ensemble Learning Architecture Based on 3DCNN

|
By Necaattin Barışçı, Ali Erbey
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared View Duplicates (89) Issue with article?

Detection of fake face images using lightweight convolutional neural networks with stacking ensemble learning method

|
By Mohammed TA, Howard AG, Necaattin Barışçı, Emre Şafak
| PeerJ
Detection of fake face images using lightweight convolutional neural networks with stacking ensemble learning method 1R&D Technology and Innovation Department, HAVELSAN, Ankara, Türkiye 2Department of Computer Engineering, Gazi University Ankara, Ankara, Türkiye DOI 10.7717/peerj-cs.2103 Academic Editor Valentina Emilia Balas Subject Areas Artificial Intelligence, Computer Vision, Mobile and Ubiquitous Computing, Neural Networks Keywords Fake face detection, Face manipulation detection,...
Open in Who Shared Issue with article?
See all 3 articles