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説明:

We present MADGUI, Multi-Application Design Graphical User Interface (GUI) using Bayesian Optimization and prediction model for data analysis and optimize process or composition. Its strength is its user-friendly design, which requires no programming knowledge. It is built using the Streamlit library in Python and is divided into three parts, allowing users to select various parameters and fill csv/xlsx files without any coding required. Overall, MADGUI is designed as an optimal experiment design platform with active machine learning, which accelerates the discovery of optimal solutions and provides an intuitive GUI for users with no experience in coding, machine learning, or optimization.

権利情報:

• Creative Commons BY Attribution 4.0 International
  

キーワード: Graphical user interface, Statistical analysis, Machine learning, Bayesian optimization, Process optimization, User-friendly

刊行年月日: 2025-01-21

出版者: Elsevier BV

掲載誌:

• Chemometrics and Intelligent Laboratory Systems (ISSN: 01697439) vol. 258 105323

研究助成金:

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1016/j.chemolab.2025.105323

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更新時刻: 2025-01-27 12:30:30 +0900

MDRでの公開時刻: 2025-01-27 12:30:30 +0900