Results 71 to 80 of about 167,571 (284)

Conversion between Logic and Algebraic Expressions of Boolean Control Networks

open access: yesApplied Sciences, 2020
The conversion between logic and algebraic expressions of Boolean control networks plays a worthy role in the analysis and design of digital circuits. In this paper, for a single Boolean function, a direct conversion between the minterm canonical form ...
Cailu Wang, Yuegang Tao
doaj   +1 more source

State Concentration Exponent as a Measure of Quickness in Kauffman-type Networks

open access: yes, 2013
We study the dynamics of randomly connected networks composed of binary Boolean elements and those composed of binary majority vote elements. We elucidate their differences in both sparsely and densely connected cases.
Hiroyasu Ando   +6 more
core   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

The Dynamics of Canalizing Boolean Networks

open access: yesComplexity, 2020
Boolean networks are a popular modeling framework in computational biology to capture the dynamics of molecular networks, such as gene regulatory networks.
Elijah Paul   +3 more
doaj   +1 more source

Antichaos in a Class of Random Boolean Cellular Automata

open access: yes, 1993
A variant of Kauffman's model of cellular metabolism is presented. It is a randomly generated network of boolean gates, identical to Kauffman's except for a small bias in favor of boolean gates that depend on at most one input.
Fogelman-Soulié   +7 more
core   +2 more sources

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

open access: yesAdvanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu   +13 more
wiley   +1 more source

Delay Partial Synchronization of Mutual Delay Coupled Boolean Networks

open access: yesMeasurement + Control, 2020
This paper studies the delay partial synchronization for mutual delay-coupled Boolean networks. First, the mutual delay-coupled Boolean network model is presented.
Qiang Wei   +3 more
doaj   +1 more source

vEMRec: High‐Resolution Volume Electron Microscopy Reconstruction Based on Structure‐Preserving and High‐Fidelity 3D Alignment

open access: yesAdvanced Science, EarlyView.
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang   +7 more
wiley   +1 more source

BDD, BNN, and FPGA on Fuzzy Techniques for Rapid System Analysis

open access: yesAdvances in Fuzzy Systems, 2012
This paper looks at techniques to simplify data analysis of large multivariate military sensor systems. The approach is illustrated using representative raw data from a video-scene analyzer. First, develop fuzzy neural net relations using Matlab.
Rahul Dixit, Harpreet Singh
doaj   +1 more source

Critical Points for Random Boolean Networks

open access: yes, 2001
A model of cellular metabolism due to S. Kauffman is analyzed. It consists of a network of Boolean gates randomly assembled according to a probability distribution.
Cohen   +12 more
core   +1 more source

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