Results 41 to 50 of about 504 (172)

Deteksi Serangan Spoofing Wajah Menggunakan Convolutional Neural Network

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2021
Facial recognition-based biometric authentication is increasingly frequently employed. However, a facial recognition system should not only recognize an individual's face, but it should also be capable of detecting spoofing attempts using printed faces ...
Raden Budiarto Hadiprakoso, I Komang Setia Buana   +1 more
doaj   +1 more source

Neuromorphic Hardware Materials for Intelligent Artificial Perception and Multimodal Fusion: From Sensing to Cognition

Interdisciplinary Materials, EarlyView.
Neuromorphic hardware enables the integration of sensing, memory, and computing for intelligent artificial perception. Recent advances in multimodal fusion further highlight its potential for embodied intelligence and next‐generation human–machine interfaces.
Yixin Zhu, Yuqing Hu, Changjin Wan, Qing Wan   +3 more
wiley   +1 more source

Multispectral Shared‐Aperture Metasurface With RF Wide‐Angle and Polarization Stability for Tri‐Band Transmission and High‐Fidelity Imaging

Nanophotonics, Volume 15, Issue 12, 25 June 2026.
This study presents a multispectral compatible metasurface that achieves high transmission across three radio frequency bands, high optical transparency, and high fidelity imaging capabilities through a two‐dimensional spatial combination strategy of synergistic and minimalist low‐duty‐cycle units.
He Lin, Yingchi Lin, Ling Wang, Yuyao Wang, Ningrui Xiao, Da Mu, Xiaoliang Ma, Cheng Huang, Xiangang Luo   +8 more
wiley   +1 more source

Overview of satellite nav spoofing and anti-spoofing techniques

Frontiers in Physics
In recent years, satellite navigation systems have witnessed widespread adoption across diverse fields, including military surveillance, precision agriculture, traffic monitoring, resource exploration, and disaster assessment. However, navigation signals
Cheng Lu, Zukun Lu, Zukun Lu, Zhe Liu, Zhe Liu, Long Huang, Long Huang, Feiqiang Chen, Feiqiang Chen   +8 more
doaj   +1 more source

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew, Md Rabiul Hasan, Tapio Seppänen, Mourad Oussalah   +3 more
wiley   +1 more source

Integrating Fine-Grained Classification and Motion Relation Analysis for Face Anti-Spoofing

IEEE Access
Face Anti-Spoofing (FAS) is the core technical means used to protect face recognition systems from face presentation attack. Facial movement is a commonly used cue in FAS.
Ziyang Cheng, Xiafen Zhang
doaj   +1 more source

Research on anti-spoofing method of face recognition based on semi-supervised learning

智能科学与技术学报, 2021
It is a long-term challenge to identify the real and fake faces in the images.When the synthetic fake faces are very realistic, it is difficult for machines and even naked eyes to distinguish the real and fake ones.The supervised anti-spoofing method ...
Li LI, Weiliang ZENG, Yonghui HUANG, Weijun SUN   +3 more
doaj  

Enriching Facial Anti-Spoofing Datasets via an Effective Face Swapping Framework

Sensors, 2022
In the era of rapid development of the Internet of things, deep learning, and communication technologies, social media has become an indispensable element.
Jiachen Yang, Guipeng Lan, Shuai Xiao, Yang Li, Jiabao Wen, Yong Zhu   +5 more
doaj   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information

International Journal of Computational Intelligence Systems
The rise in popularity of face anti-spoofing is attributed to its crucial role in safeguarding face recognition systems. Perpetrators use either a photo or a video to execute a face-spoofing attack on the authentication system of an authorized user ...
Marwa Radad, Amira E. Enab, Salah S. Elagooz, Nawal A. El-Fishawy, Mohamed A. El-Rashidy   +4 more
doaj   +1 more source