Results 281 to 290 of about 487,200 (366)

Advanced handwriting identification: Triboelectric sensor array integrating with deep learning toward high information security

open access: yesInfoMat, EarlyView.
A handwriting identification system is established by integrating a self‐powered handwriting signal acquisition device with an advanced deep‐learning architecture. The system demonstrated excellent performance in identifying the handwriting of genuine writers and forgers, which has perplexed humans for a considerable period.
Weiqiang Zhang   +9 more
wiley   +1 more source

Security Issues in Cloud Computing

open access: yesInternational journal of Emerging Trends in Science and Technology, 2016
openaire   +2 more sources

MgAl2O4:Cr3+ translucent ceramics with tunable broadband near‐infrared luminescence for laser‐driven light source detection

open access: yesInfoMat, EarlyView.
High‐power broadband NIR light sources are desired for non‐invasive imaging and quantitative detection applications. This work reported tunable NIR emission from 686 to 928 nm via the control of local structural symmetry around isolated Cr3+ ions in MgAl2O4:Cr3+ translucent ceramic, further realizing the optimized external quantum efficiency of 73% and
Gaochao Liu   +5 more
wiley   +1 more source

CMOS compatible multi‐state memristor for neuromorphic hardware encryption with low operation voltage

open access: yesInfoMat, EarlyView.
With the development of artificial intelligence and big data, hardware encryption has emerged as a key technology for secure communication. This study developed an HfAlOx‐based memristor with eight distinguishable resistance states, and realized novel neuromorphic hardware encryption.
Bo Sun   +6 more
wiley   +1 more source

Generative artificial intelligence in medical imaging: Current landscape, challenges, and future directions

open access: yesInterdisciplinary Medicine, EarlyView.
This review explores the applications of Generative AI (GAI) in medical imaging, with emphasis on its potential to enhance AI training and personalized medicine. The study comprehensively examines frameworks for evaluating the validity of GAI‐generated images while identifying critical challenges including model bias, data augmentation reliability, and
Wenle He   +6 more
wiley   +1 more source

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