ENDBOSS source code and demonstration

Source code for ENDBOSS: Industrial endpoint detection using batch-specific control spaces of spectroscopic data, including a demonstration of the code on relevant and publicly available data from the INDPENSIM simulator. For our publication introducing ENDBOSS with this demonstration, please see: - Offermans, Tim, et al. "ENDBOSS: Industrial endpoint detection using batch-specific control spaces of spectroscopic data." Chemometrics and Intelligent Laboratory Systems 209 (2021): 104229. - https://www.sciencedirect.com/science/article/pii/S016974392030664X For the original INDPENSIM data used in this work, please see: - Goldrick, S., et al., Moden day monitoring and control challenges outlined on an industrial-scale benchmark fermentation processes. Computers and Chemical Engineering, 2019. 130 - https://data.mendeley.com/datasets/pdnjz7zz5x/1ENDBOSS的源代码：基于光谱数据批次特异性控制空间的工业终点检测方法，包含针对INDPENSIM模拟器公开可用的相关数据集的代码演示。如需查阅我们介绍ENDBOSS并附带该演示的相关研究论文，请参阅： - Offermans, Tim 等. "ENDBOSS: 基于光谱数据批次特异性控制空间的工业终点检测方法". 《化学计量学与智能实验室系统》, 2021, 209: 104229. - https://www.sciencedirect.com/science/article/pii/S016974392030664X 如需获取本研究中使用的原始INDPENSIM数据集，请参阅： - Goldrick, S. 等. "基于工业规模基准发酵工艺的现代监测与控制挑战". 《计算机与化学工程》, 2019, 130. - https://data.mendeley.com/datasets/pdnjz7zz5x/1