@inproceedings{HojatiAzarhoushang2022,
  author    = {Faramarz Hojati and Bahman Azarhoushang},
  title     = {Predicting critical machining conditions using time-series imaging and deep learning in slot milling of titanium alloy},
  series = {The Upper-Rhine Artificial Intelligence Symposium UR-AI 2022 : AI Applications in Medicine and Manufacturing, 19 October 2022, Villingen-Schwenningen, Germany},
  publisher = {Furtwangen University},
  address   = {Furtwangen},
  isbn      = {978-3-00-073638-4},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:fn1-opus4-86213},
  pages     = {57 -- 63},
  year      = {2022},
  language  = {en}
}