Zobrazeno 1 - 10
of 1 199
pro vyhledávání: '"Khan Sohail A"'
Publikováno v:
Open Physics, Vol 20, Iss 1, Pp 875-887 (2022)
In this article, we analyze the entropy analysis in unsteady hydromagnetic flow of a viscous fluid over a stretching surface. The energy attribute is scrutinized through dissipation, heat source/sink, and radiation. Furthermore, diffusion-thermo and
Externí odkaz:
https://doaj.org/article/a8520d543a40479ea5510de756a1aac8
Autor:
Khan, Sohail
These lecture notes provide a comprehensive guide on Grid Modeling of Renewable Energy, offering a foundational overview of power system network modeling, power flow, and load flow algorithms critical for electrical and renewable energy engineering.
Externí odkaz:
http://arxiv.org/abs/2410.22361
The recent advancements in Generative Adversarial Networks (GANs) and the emergence of Diffusion models have significantly streamlined the production of highly realistic and widely accessible synthetic content. As a result, there is a pressing need f
Externí odkaz:
http://arxiv.org/abs/2402.12927
Autor:
Khan, Sohail Ahmed, Furuly, Jan Gunnar, Vold, Henrik Brattli, Tahseen, Rano, Dang-Nguyen, Duc-Tien
This paper investigates the use of computational tools and Open-Source Intelligence (OSINT) techniques for verifying online multimedia content, with a specific focus on real-world cases from the Russia-Ukraine conflict. Over a nine-month period from
Externí odkaz:
http://arxiv.org/abs/2310.01978
The growth of misinformation and re-contextualized media in social media and news leads to an increasing need for fact-checking methods. Concurrently, the advancement in generative models makes cheapfakes and deepfakes both easier to make and harder
Externí odkaz:
http://arxiv.org/abs/2308.16611
This paper present a comprehensive comparative analysis of supervised and self-supervised models for deepfake detection. We evaluate eight supervised deep learning architectures and two transformer-based models pre-trained using self-supervised strat
Externí odkaz:
http://arxiv.org/abs/2308.03471
Autor:
Dang-Nguyen, Duc-Tien, Khan, Sohail Ahmed, Midoglu, Cise, Riegler, Michael, Halvorsen, Pål, Dao, Minh-Son
Cheapfake is a recently coined term that encompasses non-AI ("cheap") manipulations of multimedia content. Cheapfakes are known to be more prevalent than deepfakes. Cheapfake media can be created using editing software for image/video manipulations,
Externí odkaz:
http://arxiv.org/abs/2304.01328
Autor:
Khan, Sohail1,2 (AUTHOR), Deng, Ze3 (AUTHOR) dengze@petrochina.com.cn, Wang, Bobo1 (AUTHOR), Yu, Zhisheng1,2,4 (AUTHOR) yuzs@ucas.ac.cn
Publikováno v:
Scientific Reports. 11/4/2024, Vol. 14 Issue 1, p1-13. 13p.
Deepfake media is becoming widespread nowadays because of the easily available tools and mobile apps which can generate realistic looking deepfake videos/images without requiring any technical knowledge. With further advances in this field of technol
Externí odkaz:
http://arxiv.org/abs/2208.05820
Autor:
Aneja, Shivangi, Midoglu, Cise, Dang-Nguyen, Duc-Tien, Khan, Sohail Ahmed, Riegler, Michael, Halvorsen, Pål, Bregler, Chris, Adsumilli, Balu
Cheapfake is a recently coined term that encompasses non-AI (``cheap'') manipulations of multimedia content. Cheapfakes are known to be more prevalent than deepfakes. Cheapfake media can be created using editing software for image/video manipulations
Externí odkaz:
http://arxiv.org/abs/2207.14534