Uses a convolution neural network to classify titanium microstructures
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Updated
Mar 9, 2024 - Jupyter Notebook
Uses a convolution neural network to classify titanium microstructures
Interflux' public facing website for the Low Melting Point Alloys (LMPA).
Прогнозирование качества извлечение оксида железа из руды с помощью машинного обучения
The Ember front-end through which the Interflux team can manage their database, CDN and website.
A minimal static content-first conference website built using Astro
This repository shows an algorithm for the detection of crosses in dendritic structures
This Ember app is the public facing website of Interflux Electronics.
Anki Flashcards for 3rd Year Courses
This script converts the composition of the alloy between weight percent and atomic fraction or atomic percent
தமிழில் பொறியியல் / தொழில்நுட்பம் - பட்டியல்
Web version of charge optimization app
Using the regression models in a real thermodynamic system. We have applied two supervised algorithms, Linear regression, and K-Nearest Neighbors to predict the composition values at various eta values.
致力于AI for science的交叉学科融合。
Manage mass composition math operations and visualisation
Developing Processing Map under hot metalworking conditions for Aluminum-Magnesium Alloys. Metallurgical Conditions such as Temperature ,Strain and Strain Rate ; are used to develop 2D contour map which shows efficient workable metallurgical parameter region (yellow shaded region) and instable condition (blue shaded region). Its a Mathematical M…
A library for furnace charge optimization
Grain growth simulation with cellural automaton.
Example Git repository that you can run on the signaloid.io uncertainty-tracking computation platform. This example shows how the Signaloid uncertainty-tracking computing platform can track uncertainties through an unmodified application.
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