Results 51 to 60 of about 318,282 (265)
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution
, 2018 Recent research has demonstrated the vulnerability of fingerprint recognition systems to dictionary attacks based on MasterPrints. MasterPrints are real or synthetic fingerprints that can fortuitously match with a large number of fingerprints thereby ...
Bontrager, Philip +4 more
core +1 more source
Application of Raman and Photoluminescence Spectroscopy to MgO‐C Refractories
Advanced Engineering Materials, EarlyView.Visible to near infrared luminescence of MgO is studied on MgO‐C bricks and nominally pure MgO powder, with focus on two similar sharp high‐intensity signals, at 699 and 871 nm, each surrounded by symmetrical sidebands. The nature of these sidebands is investigated by temperature‐dependent spectroscopic measurements, confirming phonon involvement by ...
Julia Richter +5 more
wiley +1 more source
Application of Deep Learning in Fingerprint Recognition [PDF]
Jisuanji gongchengFingerprint recognition is one of the earliest and most mature biometric recognition technologies that is widely used in mobile payments, access control and attendance in the civilian field, and in criminal investigation to retrieve clues from suspects ...
LI Shuo, ZHAO Chaoyang, QU Yinxuan, LUO Yaping
doaj +1 more source
Advanced Engineering Materials, EarlyView.Collagen hydrolysate is evaluated as a sustainable binder for MgO‐C refractories. Its thermally induced cross‐linking and gas release lead to expansion and cracking in large bricks, but tailored batches with lignin, recyclates, or fine graphite improve the gas release while thermal treatment and stability.
Till M. J. Stadtmüller +8 more
wiley +1 more source
Fingerprint Analysis with Marked Point Processes [PDF]
, 2014 We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for the hypothesis that two observed prints originate from the same finger ...
Forbes, Peter G. M. +2 more
core +2 more sources
Global Variational Method for Fingerprint Segmentation by Three-part Decomposition
, 2015 Verifying an identity claim by fingerprint recognition is a commonplace experience for millions of people in their daily life, e.g. for unlocking a tablet computer or smartphone.
Gottschlich, Carsten, Thai, Duy Hoang
core +1 more source
Advanced Engineering Materials, EarlyView.Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir +5 more
wiley +1 more source
Slim-ResCNN: A Deep Residual Convolutional Neural Network for Fingerprint Liveness Detection
IEEE Access, 2019 Fingerprint liveness detection has gradually been regarded as a primary countermeasure for protecting the fingerprint recognition systems from spoof presentation attacks.
Yongliang Zhang +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian +6 more
wiley +1 more source