Results 61 to 70 of about 18,297 (257)

CONCEPTUAL ANALYSIS OF IRIS RECOGNITION SYSTEMS

Сучасні інформаційні системи, 2019
Biometric is a reliable measurable physical feature as passwords. A biometric framework automatically provides evidence of an individual's identity based on the individual's unique features.
Amin Salih Mohammed, B. Saravana Balaji, Hiwa Abdulkarim Mawlood   +2 more
doaj   +1 more source

Interfacial Degradation Electrochemistry of Micro‐Silicon Anodes in Solid‐State and Liquid Electrolytes

Advanced Science, EarlyView.
This schematic compares m‐Si degradation in liquid electrolyte and solid electrolyte systems. In liquid electrolyte, repeated cycling induces severe particle pulverization and thick, unstable SEI growth. In contrast, the solid electrolyte configuration suppresses interfacial reactions, enabling a thin, stable SEI and improved structural integrity ...
Seokjin Kim, Jeongwoo Kim, Jaekyung Sung
wiley   +1 more source

Iris recognition based on sectors

工程科学与技术, 2016
:In order to improve the correct recognition rate for poor quality iris images, a sectored-based method for iris recognition was proposed. Not like the conventional recognition method, the algorithm divided the iris image into different sectors ...
Yang Shuai, Wu Xiaohong, He Xiaohai, Karn Pradeep   +3 more
doaj  

On Designing a SwinIris Transformer Based Iris Recognition System

IEEE Access
In this paper, we discuss our proposed unified approach to iris recognition called the SwinIris. This approach works efficiently when combing a tuned version of the original Swin Transformer with a set of iris recognition processes.
Runqing Gao, Thirimachos Bourlai
doaj   +1 more source

Hydrogen‐Stabilized Self‐Rectifying Memristor Arrays for Reliable Multilevel Synapses in Transformer‐Based Keyword Spotting

Advanced Science, EarlyView.
A non‐filamentary self‐rectifying HfO2/TiOx resistive random‐access memory integrates H2 annealing with an incremental step pulse with verify algorithm to achieve stable and linear analog conductance modulation. The device enables low‐current 6‐bit multilevel operation while suppressing sneak current in crossbar arrays. Implemented in Transformer‐based
Seonjeong Lee, Seohyeon Ju, Won Joo Lee, Myounggon Kang, Sungjun Kim, Yoon Kim   +5 more
wiley   +1 more source

Security of Iris Recognition and Voice Recognition Techniques

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
  Recently, biometric technologies are used widely due to their improved security that decreases cases of deception and theft. The biometric technologies use physical features and characters in the identification of individuals.
Ayad R. Raoof
doaj  

An Aggregation‐Induced Polymerization Poly(Disulfide)‐Drug Nanoplatform for Autoimmune Uveitis Therapy via Inhibiting the cGAS‐STING Pathway

Advanced Science, EarlyView.
A cationic poly(disulfide)‐drug nanoplatform (LA/DexP) was developed to treat experimental autoimmune uveitis (EAU). With potent blood‐retinal barrier penetrability, LA/DexP releases DSP in response to high ROS and scavenges cfDNA to inhibit the cGAS‐STING signaling pathway.
Yuelan Wu, Wenbo Geng, Qinjin Dai, Wanyun Zhang, Yuxian Lai, Pei Zhang, Chunjiang Zhou, Yinuo Wang, Qingfeng Cao, Xiang Luo, Yujie Lai, Changwei Huang, Peizeng Yang   +12 more
wiley   +1 more source

AASLD practice guidance on drug, herbal, and dietary supplement–induced liver injury

, 2022
Hepatology, EarlyView.
Robert J. Fontana, Iris Liou, Adrian Reuben, Ayako Suzuki, M. Isabel Fiel, William Lee, Victor Navarro   +6 more
wiley   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source