Results 61 to 70 of about 4,729,114 (317)

Detecting Location Fraud in Indoor Mobile Crowdsensing

, 2017
Mobile crowdsensing allows a large number of mobile devices to measure phenomena of common interests and form a body of knowledge about natural and social environments.
Tahoun, Ezzeldin, Xu, Qiang, Zheng, Rong
core   +1 more source

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

BMNet: Enhancing Deepfake Detection Through BiLSTM and Multi-Head Self-Attention Mechanism

IEEE Access
When forgery techniques can generate highly realistic videos, traditional convolutional neural network (CNN)-based detection models often struggle to capture subtle forgery features and temporal dependencies.
Demao Xiong, Zhan Wen, Cheng Zhang, Dehao Ren, Wenzao Li   +4 more
doaj   +1 more source

Dual-Stream Generalized Face Forgery Detection Method Based on Intra-Inter Frame Self-Blending [PDF]

Jisuanji gongcheng
Although existing methods for detecting face forgery perform well within familiar source domains, they often suffer from overfitting, leading to a lack of generalizability in face forgery detection.
DONG Fengkai, ZOU Xiaoqiang, WANG Jiahui, MA Liming, YANG Wenyuan, LIU Xiyao
doaj   +1 more source

Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks

, 2018
In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images.
Cao, Yun, Guan, Qingxiao, Liu, Yaqi, Zhao, Xianfeng   +3 more
core   +1 more source

Advancing Electronic Application of Coordination Solids: Enhancing Electron Transport and Device Integration via Surface‐Mounted MOFs (SURMOFs)

Advanced Functional Materials, Volume 36, Issue 43, 29 May 2026.
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu, Christof Wöll, Stefan Bräse   +2 more
wiley   +1 more source

Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection

, 2018
In this paper, we consider the problem of detecting counterfeit identity documents in images captured with smartphones. As the number of documents contain special fonts, we study the applicability of convolutional neural networks (CNNs) for detection of ...
Berenguel, Bertrand, Bertrand, bin Kwon, Wang   +4 more
core   +1 more source

NanoMOF‐Based Multilevel Anti‐Counterfeiting by a Combination of Visible and Invisible Photoluminescence and Conductivity

Advanced Functional Materials, Volume 36, Issue 43, 29 May 2026.
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner, Ruben Maile, Murat Cuvalli, Andreas Wolf, Ayisha Komal, Robert Oestreich, Christoph Janiak, Karl Mandel, Alexander Knebel, Klaus Müller‐Buschbaum   +9 more
wiley   +1 more source

Learning spatial‐frequency interaction for generalizable deepfake detection

IET Image Processing
In recent years, face forgery detection has gained significant attention, resulting in considerable advancements. However, most existing methods rely on CNNs to extract artefacts from the spatial domain, overlooking the pervasive frequency‐domain ...
Tianbo Zhai, Kaiyin Lu, Jiajun Li, Yukai Wang, Wenjie Zhang, Peipeng Yu, Zhihua Xia   +6 more
doaj   +1 more source

A Survey on Photo Forgery Detection Methods

ITM Web of Conferences, 2018
In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing.
Gurunlu Bilgehan, Ozturk Serkan
doaj   +1 more source