Results 141 to 150 of about 4,729,114 (317)

Self-Information Forgery Mining for Face Forgery Detection

Applied Mathematics and Nonlinear Sciences
Abstract In the face of rapid advances in face forgery technology, effective detection methods have become crucial to maintain the authenticity of digital media. Deep learning technology has provided new strategies for recognizing and preventing face forgery in recent years.
Xiaozhuo Wang, Jianyu Wei
openaire   +1 more source

Excited‐State Pathway Switching via Reversible Structural Phase Transitions in Sb3+‐Doped Cadmium Halides

Angewandte Chemie, EarlyView.
Octahedral (DFPD)6CdCl8:10%Sb and tetrahedral (DFPD)2CdCl4·H2O:5%Sb exhibit distinct luminescence dictated by coordination geometry. Solvent‐induced reversible phase transformation enables dynamic switching between yellow and deep‐orange emission. Combined experimental and computational studies elucidate the luminescence mechanisms, and the reversible ...
Zhe Tang, Binbin Fan, Chenxin Fan, Qingfeng Wei, Dandan Luo, Tingting Xue, Yan Su, Junsheng Chen   +7 more
wiley   +2 more sources

Dual-Module Architecture for Robust Image Forgery Segmentation and Classification Toward Cyber Fraud Investigation

Applied Sciences
This study presents a dual-module architecture for image forgery detection in the context of cyber fraud investigation, designed to provide interpretable and court-admissible forensic evidence.
Donghwan Kim, Hansoo Kim
doaj   +1 more source

Border harm and affective injustice: The politics of anger at the Melilla border, Spain

American Journal of Community Psychology, EarlyView.
Abstract This article examines protests in a detention center in Melilla, Spain—a site where structural violence intersects with the everyday harms of confinement. Adopting a justice and dignity‐centered perspective, we analyze grassroots forms of resistance emerging at the border. The study focuses on the protests of Tunisian migrants and explores the
Corina Tulbure
wiley   +1 more source

ID3: Identity-Driven Learning Based on 3D Reconstruction and Frame-Level Residual Enhancement for Deepfakes Detection

IET Biometrics
With the rapid advancement of face manipulation technology, various forged videos of celebrities and politicians have appeared and cause pernicious social impact. In this light, forge video detection becomes a research hot spot recently.
Hui Ma, Jin Zhang, Xihong Chen, Wenhao Chu, Jiabao Guo, Junze Zheng, Liying Yang, Yanyan Liang   +7 more
doaj   +1 more source

Enhancing Deepfake Detection With Diversified Self-Blending Images and Residuals

IEEE Access
The advancement of deep forgery technology has significantly impacted the credibility of media content, making the detection of deep forgeries crucial for ensuring media security.
Qingtong Liu, Ziyu Xue, Haitao Liu, Jing Liu   +3 more
doaj   +1 more source

Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation. [PDF]

Multimed Tools Appl, 2023
Sharma P, Kumar M, Kumar M, Sharma H.
europepmc   +1 more source

Design of an academic document forgery detection system

International journal of information technology
Advances in digital technology and communication are reducing the popularity of physical or paper-based documents, particularly in the official academic field.
Sirapat Boonkrong
semanticscholar   +1 more source

Participatory Policy Development: Reflections on Designing the Strong Roots for Our Futures Program in Victoria

Australian Journal of Social Issues, EarlyView.
ABSTRACT In this paper, we trace the journey to create the Strong Roots for our Futures Program, a government program to resource and support Traditional Owners to undertake a range of activities in areas where no state recognition existed. We provide a background to state recognition in Victoria before considering the program design, leading to an ...
Nell Reidy, Bhiamie Williamson, Jesse Williams   +2 more
wiley   +1 more source

Forgery Detection in Digital Images by Multi-Scale Noise Estimation. [PDF]

J Imaging, 2021
Gardella M, Musé P, Morel JM, Colom M.
europepmc   +1 more source