Results 51 to 60 of about 1,097 (148)
An Infinite Class of Balanced Functions with Optimal Algebraic Immunity, Good Immunity to Fast Algebraic Attacks and Good Nonlinearity [PDF]
After the improvement by Courtois and Meier of the algebraic attacks on stream ciphers and the introduction of the related notion of algebraic immunity, several constructions of infinite classes of Boolean functions with optimum algebraic immunity have been proposed.
Claude Carlet, Keqin Feng
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Manipulating Individual Topological Solitons and Bisolitons in an Electronic System
While localized topological modes in quantum materials promise loss‐less delivery of classical and quantum information, manipulating them individually has been challenging. This work succeeded in manipulating topological solitons formed along atomic wires on silicon surfaces with high reproducibility in various ways, including translating, transforming
Taehwan Im +2 more
wiley +1 more source
Symmetries in Genetic Systems and the Concept of Geno-Logical Coding
The genetic code of amino acid sequences in proteins does not allow understanding and modeling of inherited processes such as inborn coordinated motions of living bodies, innate principles of sensory information processing, quasi-holographic properties ...
Sergey V. Petoukhov, Elena S. Petukhova
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On the fast algebraic immunity of threshold functions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao +5 more
wiley +1 more source
Accuracy and speed of algorithms play an important role in the reconstruction of temperature field measurements by acoustic tomography. Existing algorithms are based on static models which only consider the measurement information.
Yanqiu Li, Shi Liu, Schlaberg H. Inaki
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This study develops a deep adversarial reinforcement learning framework for dynamic technology transfer risk assessment. The research outcome DAGAN‐MORL has a misjudgment rate 6.3%, a delay of 1.8 h, and a profit error of 7.9%, leading at the industrial level, providing intelligent support for university‐enterprise collaborative innovation. ABSTRACT As
Guojun Wang
wiley +1 more source
This study used interpretable machine learning to identify dietary nutrient patterns associated with depression‐stroke comorbidity in U.S. adults aged 50 years and older. While overall nutrient mixtures showed no significant association, specific micronutrients including vitamins B1, B12, and C, zinc, and caffeine consistently predicted comorbidity ...
Hongwei Liu +4 more
wiley +1 more source
Numerical Instability in Slope Stability Analysis: A Finite Difference Approach
ABSTRACT In geotechnical engineering, slice methods are the most widely used computational techniques for analyzing slope stability. Notably, the Morgenstern‐Price and Janbu approaches rigorously enforce the equilibrium of forces and moments within these slice methods.
Jean‐Pierre Bardet
wiley +1 more source
Construction and count of resilient rotation symmetric Boolean functions with prime number variables
The characteristic matrix of the resilient rotation symmetric Boolean functions(RSBF) with prime number va-riables were explored. Some properties about character ic matrix of them were given.
Jiao DU +3 more
doaj +2 more sources

