Results 51 to 60 of about 26,665 (263)

Signs, figures and time: Cavaillès on "intuition" in mathematics

open access: yesTHEORIA, 2006
This paper is concerned with Cavaillès' account of "intuition" in mathematics. Cavaillès starts from Kant's theory of constructions in intuition and then relies on various remarks by Hilbert to apply it to modern mathematics.
openaire   +4 more sources

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced 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

Bilingualism of Colombian Deaf Children in the Teaching-Learning of Mathematics in the First Year of Elementary School

open access: yesColombian Applied Linguistics Journal, 2011
This paper summarizes some results of the first ethnographic research study conducted in Colombia in three different elementary schools for deaf children in which bilingualism (sign-language and written-language) is starting to be emphasized.
Olga Lucía León Corredor   +1 more
doaj  

An Improved Complex-Valued Recurrent Neural Network Model for Time-Varying Complex-Valued Sylvester Equation

open access: yesIEEE Access, 2019
Complex-valued time-varying Sylvester equation (CVTVSE) has been successfully applied into mathematics and control domain. However, the computation load of solving CVTVSE will rise significantly with the increase of sampling rate, and it is a challenging
Lei Ding   +5 more
doaj   +1 more source

ERRORS ANALYSIS OF STUDENTS IN SOLVING VOLUME OF THE SOLID OF REVOLUTION PROBLEM IN TERM OF CRITICAL THINKING ASPECTS

open access: yesKalamatika, 2020
Students of mathematics education need to have a good understanding in solving integral calculus problems, but often have difficulty in understanding the subject material.
Betty Kusumaningrum   +2 more
doaj   +1 more source

Design of a Multistable Finger Prosthesis with Programmable Metamaterials

open access: yesAdvanced Engineering Materials, EarlyView.
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz   +5 more
wiley   +1 more source

The Exponential Function Meaning on Mathematical Modeling Activities: A Semiotic Approach

open access: yesREDIMAT, 2018
In this article we present a reflection on the meaning attribution to the mathematical object exponential function that emerges from two mathematical modelling activities.
Karina Alessandra Pessoa da Silva   +1 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

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