Results 101 to 110 of about 450,827 (278)
Review of algebraic attacks on stream ciphers
The basic theory and realizing methods of algebraic attacks on stream ciphers are presented.Then the algebraic attacks on stream ciphers with linear feedback shift register and the efficient techniques to decrease the degree of the nonlinear equations ...
ZHANG Long1, WU Wen-ling2, WEN Qiao-yan1
doaj +2 more sources
Computing Singular Points of Projective Plane Algebraic Curves by Homotopy Continuation Methods
We present an algorithm that computes the singular points of projective plane algebraic curves and determines their multiplicities and characters. The feasibility of the algorithm is analyzed.
Zhongxuan Luo, Erbao Feng, Jielin Zhang
doaj +1 more source
Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar +5 more
wiley +1 more source
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
Chemical hyperstructures for Astatine, Tellurium and for Bismuth
The concept of weak algebraic hyperstructures constitutes a generalization of the well-known algebraic hyperstructures. The aim of this paper is to present some of the results, methods and ideas about chemical examples of weak algebraic hyperstructures.
Madeline Al Tahan, Bijan Davvaz
doaj
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
grade students at SMP Islam Terpadu Ulul Albab Tarakan. The research focuses on identifying the nature of these misconceptions and exploring strategies for improving algebraic learning.
Dwi Susanti +2 more
doaj +1 more source
Algebraic Methods and Bounded Formulas
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +5 more sources
Robotic Arm‐Assisted Conformal 3D Printing of Displays for Structural Electronics
This study presents a robotics‐enabled platform combining 3D scanning and a 6‐DOF robotic arm for conformal printing on complex non‐planar structures. By maintaining nozzle perpendicularity, the system enables high‐fidelity direct ink writing on steep sidewalls, spherical surfaces, successfully demonstrating a fully printed 7‐segment dynamic display ...
Chanbin Yoo +5 more
wiley +1 more source
ABSTRACT In this study, the actual route of methylene blue (MB) dye adsorption by using fabricated polyfunctional activated carbon–copper oxide nanowires (AC@CuO‐NWs) from bulky wastewater bodies has been investigated. To better understand the exact pathway of the adsorption process, a prominent statistical physics formalism or grand canonical ...
Abdellatif Sakly +7 more
wiley +1 more source

