Results 61 to 70 of about 7,700 (189)

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, Volume 38, Issue 9, 12 February 2026.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Dodd-Frank and the Spoofing Prohibition in Commodities Markets [PDF]

, 2017
The Dodd-Frank Act amended the Commodity Exchange Act and adopted an explicit prohibition regarding activity commonly known as spoofing in commodities markets.
Sar, Meric
core   +1 more source

Design and Fabrication of Capacitive Mems Actuator Array on Spoof‐Surface‐Plasmon‐Polariton Waveguide for Active Microwave Modulation

Advanced Photonics Research, Volume 7, Issue 1, January 2026.
a) Schematic of the SSPP waveguide integrated with SRR metamaterial and MEMS actuator arrays with electric field confinement in the gap below the microbridge. b) Cross‐section of the MEMS actuator consists of a buried lead line and a microbridge at different deflection positions. c) The notch band in the microwave transmission characteristic shifts due
Van Minh Nguyen, Yoshiaki Kanamori
wiley   +1 more source

LivDet in Action - Fingerprint Liveness Detection Competition 2019

, 2019
The International Fingerprint liveness Detection Competition (LivDet) is an open and well-acknowledged meeting point of academies and private companies that deal with the problem of distinguishing images coming from reproductions of fingerprints made of ...
Bazzoni, Carlotta, Casula, Roberto, Dessalvi, Giovanna, Ghiani, Luca, Marcialis, Gian Luca, Micheletto, Marco, Orrù, Giulia, Tuveri, Pierluigi   +7 more
core   +1 more source

A Survey of SIR‐Based Differential Epidemic Models for Control and Security Against Malware Propagation in Computer Networks

SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley   +1 more source

Disguised face liveness detection: an ensemble approach using deep features

Cogent Engineering
Deep learning models have surpassed classic machine learning models in face anti-spoofing detection during the last decade. Most face-spoofing detection algorithms are biased toward a single presentation attack, failing to robustly detect multiple ...
Padmashree G., Karunakar A. K.
doaj   +1 more source

Robustness Analysis of Distributed CNN Model Training in Expression Recognition

IET Biometrics, Volume 2026, Issue 1, 2026.
Facial expression recognition is vital in pattern recognition and affective computing. With the advancement of deep learning, its performance has improved, yet challenges remain in nonlaboratory environments due to occlusion, poor lighting, and varying head poses.
Jun Li, Jun Wan
wiley   +1 more source

3D Face Anti-Spoofing With Dense Squeeze and Excitation Network and Neighborhood-Aware Kernel Adaptation Scheme

IEEE Access
Face anti-spoofing is a critical challenge in biometric security systems, where sophisticated spoofing techniques pose significant threats. To enhance the effectiveness and efficiency of the methods employed for face anti-spoofing, this paper presents a ...
Mohammed Kareem Hussein Hussein, Osman Nuri Ucan   +1 more
doaj   +1 more source

Flexible-Modal Face Anti-Spoofing: A Benchmark

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks. Benefitted from the maturing camera sensors, single-modal (RGB) and multi-modal (e.g., RGB+Depth) FAS has been applied in various scenarios with different configurations of sensors/modalities.
Zitong Yu, Ajian Liu 0001, Chenxu Zhao, Kevin H. M. Cheng, Xu Cheng 0003, Guoying Zhao 0001   +5 more
openaire   +2 more sources

Unified Physical–Digital Face Attack Detection Challenge: A Review

IET Biometrics, Volume 2026, Issue 1, 2026.
Face antispoofing (FAS) technologies play a pivotal role in safeguarding face recognition (FR) systems against potential security loopholes. The biometric community has witnessed significant advancements lately, largely due to the exceptional performance of deep learning architectures and the abundance of substantial datasets.
Junze Zheng, Xinping Gao, Ajian Liu, Haocheng Yuan, Jun Wan, Yanyan Liang, Jiankang Deng, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Isabelle Guyon, Du Zhang, Vincenzo Conti   +12 more
wiley   +1 more source