Results 91 to 100 of about 243,777 (279)

Assessing the feasibility of quantum learning algorithms for noisy linear problems

Scientific Reports
Quantum algorithms for solving noisy linear problems are reexamined, under the same assumptions taken from the existing literature. The findings of this work include on the one hand extended applicability of the quantum Fourier transform to the ring ...
Minkyu Kim, Panjin Kim
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Dynamic Group Key Exchange Protocol With Lattice Trapdoor and Re-Encryption Mechanisms

IEEE Access
Post-quantum group key exchange protocols have become an increasingly critical area of research due to the potential threat quantum computers pose to classical cryptographic schemes. Traditional group key exchange protocols, often based on Diffie-Hellman
Narn-Yih Lee, Yuan-Ting Tsai
doaj   +1 more source

Ring artifacts correction in compressed sensing tomographic reconstruction

, 2015
We present a novel approach to handle ring artifacts correction in compressed sensing tomographic reconstruction. The correction is part of the reconstruction process, which differs from classical sinogram pre-processing and image post-processing ...
Mirone, Alessandro, Paleo, Pierre
core   +3 more sources

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Evaluation of Post-Quantum Distributed Ledger Cryptography

The Journal of The British Blockchain Association, 2019
This paper evaluates the current cybersecurity vulnerability of the prolific use of Elliptical Curve Digital Signature Algorithm (ECDSA) cryptography in use by the Bitcoin Core, Ethereum, Bitcoin Cash, and enterprise blockchains such as ...
Robert E. Campbell Sr.
doaj   +1 more source

Why Catastrophic Organizational Failures Happen [PDF]

, 2008
Excerpt from the introduction: The purpose of this chapter is to examine the major streams of research about catastrophic failures, describing what we have learned about why these failures occur as well as how they can be prevented. The chapter begins
Roberto, Michael A.
core   +1 more source

Homomorphic encryption based on the Ring Learning with Errors (RLWE) problem

, 2020
Verilerin mahremiyetini sağlamak için kullanılan şifreleme teknikleri, teknolojideki gelişmelere uygun olarak değişmekte ve ihtiyaçlara göre şekillenmektedir. Günümüzde şifrelenerek depolanması gereken verilerin miktarının artması, verilerin hem güvenliğini ve hem de verimli bir şekilde kullanılabilirliğini sağlayan şifreleme tekniklerine ihtiyaç ...
openaire   +2 more sources

Efficient Zero-Knowledge Proofs for Commitments from Learning with Errors over Rings

, 2015
We extend a commitment scheme based on the learning with errors over rings $$\mathsf{RLWE}$$ problem, and present efficient companion zero-knowledge proofs of knowledge. Our scheme maps elements from the ring or equivalently, n elements from $$\mathbb F_q$$ to a small constant number of ring elements.
Fabrice Benhamouda, Stephan Krenn, Vadim Lyubashevsky, Krzysztof Pietrzak   +3 more
openaire   +2 more sources

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source