Results 51 to 60 of about 2,669 (298)
A Novel Cellular Automata Classifier for COVID-19 Prediction
Journal of Health Sciences, 2020 China has witnessed a new virus Corona, which is named COVID-19. It has become the world's most concern as this virus has spread over the world at a higher speed, the world has witnessed more than one lakh cases and one thousand deaths in a span of a few
Kiran Sree Pokkuluri +1 more
doaj +1 more source
Hybrid Automata and ε-Analysis on a Neural Oscillator [PDF]
Electronic Proceedings in Theoretical Computer Science, 2012 In this paper we propose a hybrid model of a neural oscillator, obtained by partially discretizing a well-known continuous model. Our construction points out that in this case the standard techniques, based on replacing sigmoids with step functions, is ...
Carla Piazza +2 more
doaj +1 more source
Evolution of Hybrid Cellular Automata for Density Classification Problem
SymmetryThis paper describes a solution for the image density classification problem (DCP) using an entirely distributed system with only local processing of information named cellular automata (CA).
P. Anghelescu
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
bioRxiv, 2018 The Hybrid Automata Library (HAL) is a Java Library developed for use in mathematical oncology modeling. It is made of simple, efficient, generic components that can be used to model complex spatial systems.
R. Bravo +9 more
semanticscholar +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Approximate Equivalence of the Hybrid Automata with Taylor Theory
Journal of Applied Mathematics, 2014 Hybrid automaton is a formal model for precisely describing a hybrid system in which the computational processes interact with the physical ones.
Anping He +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
GIScience & Remote Sensing, 2019 In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable
Jun Yang +4 more
doaj +1 more source