Results 131 to 140 of about 4,402 (215)
A multi-image codebook approach for secure text transmission. [PDF]
Rashid OF, Tuama SA, Al-Shahwani H.
europepmc +1 more source
A Post-Quantum Authentication and Key Agreement Protocol Based on Lattice-Based KEM for Secure Network Environments. [PDF]
Chen X, Wu W, Liang G, Tan H, Yu Y.
europepmc +1 more source
Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?
Objective The objective is to describe and compare demographic, clinical, and serological characteristics of patients with systemic sclerosis (SSc) according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet +11 more
wiley +1 more source
Text cryptography and steganography based on RNA sequences generation, true random number generators, and codebook method. [PDF]
Hamad S, Rashid OF, Al-Dabbas HM.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
A Post-Quantum Secure RFID Authentication Protocol Based on NTRU Encryption Algorithm. [PDF]
Liu H, Wu H, Ge N, Dong Q.
europepmc +1 more source
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera +8 more
wiley +1 more source
A Kyber-Based Lightweight Cloud-Assisted Authentication Scheme for Medical IoT. [PDF]
Yan H, Wang Z, Lin L, Sun J, Liu S.
europepmc +1 more source
What Do Large Language Models Know About Materials?
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
Aiming at the issues in existing anonymous authenticated key agreement (AKA) schemes for mobile edge computing (MEC), such as the inability to trace malicious anonymous devices and the lack of defense against physical attacks, an efficient conditional ...
LI Sensen +4 more
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