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industrial

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We harness the power of machine learning and data analysis to real challenges in the copper industry. Our documentation covers data preprocessing, feature engineering, classification, regression, and model selection. Discover how we've optimized predictive capabilities for manufacturing solutions.

  • Updated Jul 19, 2024
  • Jupyter Notebook
PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

  • Updated Jul 19, 2024
  • Python

This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.

  • Updated Jul 10, 2024
  • Python

HslControls控件库的使用demo,HslControls是一个工业物��网的控件库,基于C#开发,配套HslCommunication组件可以实现工业上位机软件的快速开发,支持常用的工业图形化控件,快速的集成界面开发。 主要包含了按钮,开关,进度条,信号灯,数码管,时钟,曲线显示控件,仪表盘控件,管道控件,瓶子控件,饼图控件,传送带控件,温度计控件,鼓风机控件,阀门控件,电池控件等等。

  • Updated Jun 18, 2024
  • C#

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