Reduction of Variations Using Chemometric Model Transfer: A Case Study Using FT-NIR Miniaturized Sensors

Mohamed Hossam, Amr Wassal, M. Watheq El-Kharashi. Reduction of Variations Using Chemometric Model Transfer: A Case Study Using FT-NIR Miniaturized Sensors. In Aboul Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Roheet Bhatnagar, Mohamed F. Tolba, editors, The International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2019, Cairo, Egypt, 28-30 March, 2919. Volume 921 of Advances in Intelligent Systems and Computing, pages 272-280, Springer, 2019. [doi]

@inproceedings{HossamWE19,
  title = {Reduction of Variations Using Chemometric Model Transfer: A Case Study Using FT-NIR Miniaturized Sensors},
  author = {Mohamed Hossam and Amr Wassal and M. Watheq El-Kharashi},
  year = {2019},
  doi = {10.1007/978-3-030-14118-9_27},
  url = {https://doi.org/10.1007/978-3-030-14118-9_27},
  researchr = {https://researchr.org/publication/HossamWE19},
  cites = {0},
  citedby = {0},
  pages = {272-280},
  booktitle = {The International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2019, Cairo, Egypt, 28-30 March, 2919},
  editor = {Aboul Ella Hassanien and Ahmad Taher Azar and Tarek Gaber and Roheet Bhatnagar and Mohamed F. Tolba},
  volume = {921},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-14118-9},
}