APA (7th ed.) Citation

Kardasz, E., Sołtysiak, M., Jarzębski, M., Iljaszewicz, P., & Kardasz, P. (2019). APPLICATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS OPENCV AND LOW-CEILING PHOTOGRAMMETRY TO ASSESS THE QUALITY OF A SAND DEPOSIT AND PREPARATION OF THE CORRELATION MODEL. International Multidisciplinary Scientific GeoConference SGEM, 19(2.2), 31-38. https://doi.org/10.5593/sgem2019/2.2/S09.005

Chicago Style (17th ed.) Citation

Kardasz, Ewa, Marek Sołtysiak, Maciej Jarzębski, Paweł Iljaszewicz, and Piotr Kardasz. "APPLICATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS OPENCV AND LOW-CEILING PHOTOGRAMMETRY TO ASSESS THE QUALITY OF A SAND DEPOSIT AND PREPARATION OF THE CORRELATION MODEL." International Multidisciplinary Scientific GeoConference SGEM 19, no. 2.2 (2019): 31-38. https://doi.org/10.5593/sgem2019/2.2/S09.005.

MLA (9th ed.) Citation

Kardasz, Ewa, et al. "APPLICATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS OPENCV AND LOW-CEILING PHOTOGRAMMETRY TO ASSESS THE QUALITY OF A SAND DEPOSIT AND PREPARATION OF THE CORRELATION MODEL." International Multidisciplinary Scientific GeoConference SGEM, vol. 19, no. 2.2, 2019, pp. 31-38, https://doi.org/10.5593/sgem2019/2.2/S09.005.