Defect Detection in Porcelain Industry Based on Deep Learning Techniques

Adriana Birlutiu, Adrian Burlacu, Manuella Kadar, Daniela Onita. Defect Detection in Porcelain Industry Based on Deep Learning Techniques. In Tudor Jebelean, Viorel Negru, Dana Petcu, Daniela Zaharie, Tetsuo Ida, Stephen M. Watt, editors, 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2017, Timisoara, Romania, September 21-24, 2017. pages 263-270, IEEE Computer Society, 2017. [doi]

@inproceedings{BirlutiuBKO17,
  title = {Defect Detection in Porcelain Industry Based on Deep Learning Techniques},
  author = {Adriana Birlutiu and Adrian Burlacu and Manuella Kadar and Daniela Onita},
  year = {2017},
  doi = {10.1109/SYNASC.2017.00049},
  url = {https://doi.org/10.1109/SYNASC.2017.00049},
  researchr = {https://researchr.org/publication/BirlutiuBKO17},
  cites = {0},
  citedby = {0},
  pages = {263-270},
  booktitle = {19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2017, Timisoara, Romania, September 21-24, 2017},
  editor = {Tudor Jebelean and Viorel Negru and Dana Petcu and Daniela Zaharie and Tetsuo Ida and Stephen M. Watt},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-2626-9},
}