Computerized Detection of JWH Synthetic Cannabinoids Class Membership Based on Machine Learning Algorithms and Molecular Descriptors

Catalina Mercedes Burlacu, Mirela Praisler, Adrian Constantin Burlacu. Computerized Detection of JWH Synthetic Cannabinoids Class Membership Based on Machine Learning Algorithms and Molecular Descriptors. In IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2022, Cluj-Napoca, Romania, May 19-21, 2022. pages 1-5, IEEE, 2022. [doi]

@inproceedings{BurlacuPB22,
  title = {Computerized Detection of JWH Synthetic Cannabinoids Class Membership Based on Machine Learning Algorithms and Molecular Descriptors},
  author = {Catalina Mercedes Burlacu and Mirela Praisler and Adrian Constantin Burlacu},
  year = {2022},
  doi = {10.1109/AQTR55203.2022.9801971},
  url = {https://doi.org/10.1109/AQTR55203.2022.9801971},
  researchr = {https://researchr.org/publication/BurlacuPB22},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2022, Cluj-Napoca, Romania, May 19-21, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-7933-2},
}