Results 71 to 80 of about 4,729,114 (317)

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, Volume 36, Issue 43, 29 May 2026.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

, 2017
Local descriptors based on the image noise residual have proven extremely effective for a number of forensic applications, like forgery detection and localization.
Cozzolino, Davide, Poggi, Giovanni, Verdoliva, Luisa   +2 more
core   +1 more source

Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes

Advanced Functional Materials, EarlyView.
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu, Byungcheon Yoo, Seunghun Lee, Hyungyo Jeong, Sanggyun Jeong, Heesu Cho, Jongwon Oh, Dahye Baek, Jongkyu Kim, Yubin Lee, Eunsu Gu, Dong‐Hwan Kim, Jung‐Hoon Park, Jiseok Lee   +13 more
wiley   +1 more source

An improved copy-move forgery detection based on density-based clustering and guaranteed outlier removal

Journal of King Saud University: Computer and Information Sciences, 2021
Copy-move image forgery detection has become a significant research subject in multimedia forensics and security due to its widespread use and its hard detection.
Aya Hegazi, Ahmed Taha, Mazen M. Selim
doaj   +1 more source

Camera-based Image Forgery Localization using Convolutional Neural Networks

, 2018
Camera fingerprints are precious tools for a number of image forensics tasks. A well-known example is the photo response non-uniformity (PRNU) noise pattern, a powerful device fingerprint.
Cozzolino, Davide, Verdoliva, Luisa
core   +1 more source

High‐Index, Low‐Loss Optical Material Platforms for Ultra‐Broadband Ultraviolet‐to‐Visible Achromatic Metalenses

Advanced Functional Materials, EarlyView.
An integrated material platform combining engineered SiNx thin films and printable ZrO2 nanoparticle‐embedded resin enables broadband achromatic metalenses from the ultraviolet to visible range. The demonstrated meta‐optics achieve near‐diffraction‐limited focusing with minimal chromatic aberration.
Hyunjung Kang, Dongmin Jeon, Eunji Lee, Junsuk Rho   +3 more
wiley   +1 more source

Swelling‐Induced Stress‐Assisted Transfer of Nanodiamond Arrays With a PVA Carrier Tape for Conformal Bio‐Integrated Sensing and Labelling

Advanced Functional Materials, EarlyView.
This work introduces a swelling‐induced, stress‐assisted water‐soluble PVA tape strategy to transfer‐print nanodiamond quantum‐sensor arrays onto soft, curved biological interfaces. The room‐temperature, water‐triggered process achieves >98% fidelity and residue‐free integration, enabling conformal quantum sensing on contact lenses, neural probes, and ...
Luyao Zhang, Lingzhi Wang, Xinhao Hu, Tai Nam Yip, Mingze Sun, Jixiang Jing, Lizhi Xu, Yuan Lin, Yong Hou, Zhiqin Chu   +9 more
wiley   +1 more source

Wavelet-Based Texture Mining and Enhancement for Face Forgery Detection

IET Biometrics
Due to the abuse of deep forgery technology, the research on forgery detection methods has become increasingly urgent. The corresponding relationship between the frequency spectrum information and the spatial clues, which is often neglected by current ...
Xin Li, Hui Zhao, Bingxin Xu, Hongzhe Liu   +3 more
doaj   +1 more source

Self-Supervised Feature Disentanglement for Deepfake Detection

Mathematics
Existing deepfake detection methods heavily rely on specific training data distributions and struggle to generalize to unknown forgery techniques. To address the challenge, this paper focuses on two critical research gaps: (1) the lack of systematic ...
Bo Yan, Pan Liu, Yumin Yang, Yanming Guo
doaj   +1 more source

Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)

, 2017
In this work, we propose a technique that utilizes a fully convolutional network (FCN) to localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only on the surface label.
Kuo, C. -C. Jay, Ren, Yuzhuo, Salloum, Ronald   +2 more
core   +1 more source