Results 231 to 240 of about 70,475,198 (271)

Tunable dual-band THz metamaterial absorber with regression-learning-enabled numerical redesign. [PDF]

Sci Rep
Mishu SJ, Banad YM, Sharif S.
europepmc   +1 more source

Practical Comparison of a Newly Developed Software-Based Visual Acuity Test and Photoscreening in Japanese Preschool Children. [PDF]

Vision (Basel)
Yamamoto Y, Bakhriddinov T, Sakaki H, Suganuma N, Murakami I.   +4 more
europepmc   +1 more source

Tree ring segmentation performance in highly disturbed trees using deep learning. [PDF]

PLoS One
Zambrano-Suárez JD, Pérez-Martín J, Manchado AM, Ballesteros Cánovas JA.   +3 more
europepmc   +1 more source

Cardiovascular digital twins using a Windkessel physics informed neural network. [PDF]

NPJ Digit Med
Osman D, Sel K, Spatz E, Jafari R.
europepmc   +1 more source

Dual-band graphene-assisted metamaterial absorber with machine learning integration for high-sensitivity THz biosensing. [PDF]

Sci Rep
Gupta S, Gosi VC, Pareek P, Upender P.
europepmc   +1 more source

Conflict adaptation in a confound-minimized face-word Stroop task: exploring the potential settings of an fMRI-related experiment. [PDF]

Front Psychol
Caisachana Guevara LM, Huber R, Kocataş H, Abdelmotaleb M, Meinzer M, Fischer R.   +5 more
europepmc   +1 more source

Non-commutative Ring Learning with Errors from Cyclic Algebras [PDF]

Journal of Cryptology, 2022
AbstractThe Learning with Errors (LWE) problem is the fundamental backbone of modern lattice-based cryptography, allowing one to establish cryptography on the hardness of well-studied computational problems. However, schemes based on LWE are often impractical, so Ring LWE was introduced as a form of ‘structured’ LWE, trading off a hard to quantify loss
Cong Ling, Roope Vehkalahti, Andrew Mendelsohn   +2 more
exaly   +8 more sources

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Compact Ring Signatures from Learning with Errors

2021
Ring signatures allow a user to sign a message on behalf of a “ring” of signers, while hiding the true identity of the signer. As the degree of anonymity guaranteed by a ring signature is directly proportional to the size of the ring, an important goal in cryptography is to study constructions that minimize the size of the signature as a function of ...
Rohit Chatterjee, Sanjam Garg, Mohammad Hajiabadi, Dakshita Khurana, Xiao Liang 0014, Giulio Malavolta, Omkant Pandey, Sina Shiehian   +7 more
openaire   +4 more sources

Ring Learning with Errors Cryptography

2020
In this chapter, we will discuss Ring-Learning with Errors cryptography (RLWE) as one of the most powerful and challenging approaches for developing professional and complex applications and systems.
Marius Iulian Mihailescu, Stefania Loredana Nita   +1 more
openaire   +1 more source