Results 111 to 120 of about 2,720,618 (349)
Subfield Codes of Several Few-Weight Linear Codes Parameterized by Functions and Their Consequences
IEEE Transactions on Information TheoryarXiv admin note: text overlap with arXiv:1804.06003, arXiv:2207.07262 by other ...
Li Xu +4 more
openaire +3 more sources
Code for stochastic parameterizations to generate ensembles in 1D or 3D MFC configurations (D3.3)
, 2022 P Brasseur +4 more
openalex +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Advanced Intelligent Discovery, EarlyView.Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
High-Level Models for Transformation-Oriented Design of Hardware and Embedded Systems
Advances in Electrical and Computer Engineering, 2008 Evolution of design methodologies follows a common trail: technology scaling leads to growing design complexity and rising abstraction level in the domain.
DAMASEVICIUS, R., STUIKYS, V.
doaj +1 more source
Malicious Code Detection Method Based on Hybrid Quantum Convolutional Neural Network [PDF]
Jisuanji kexueQuantum computing is a new computing model based on quantum mechanics,with powerful parallel computing capabi-lity far beyond classical computing.Hybrid quantum convolutional neural network combines the dual advantages of quantum computing and classical ...
XIONG Qibing, MIAO Qiguang, YANG Tian, YUAN Benzheng, FEI Yangyang
doaj +1 more source
NP-completeness of Certain Sub-classes of the Syndrome Decoding Problem [PDF]
, 2009 The problem of Syndrome Decoding was proven to be NP-complete in 1978 and, since then, quite a few cryptographic applications have had their security rely on the (provable) difficulty of solving some instances of it. However, in most cases, the instances
Finiasz, Matthieu
core
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Practical Access to Dynamic Programming on Tree Decompositions
Algorithms, 2019 Parameterized complexity theory has led to a wide range of algorithmic breakthroughs within the last few decades, but the practicability of these methods for real-world problems is still not well understood.
Max Bannach, Sebastian Berndt
doaj +1 more source
A Note on Parallelizing the Parameterized Expectations Algorithm [PDF]
The parameterized expectations algorithm (PEA) involves a long simulationand a nonlinear least squares (NLS) fit, both embedded in a loop. Both steps are natural candidates for parallelization.This note shows that parallelization can lead to important ...
Michael Creel
core
Advanced Intelligent Discovery, EarlyView.Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source