Autors: Diakov, D. I., Nikolova, H. N., Vassilev, V. A.
Title: Large-Scaled Details Flatness Measurement Method
Keywords: deviations from form, large-scaled detils, measurement metho

References

    Issue

    2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), pp. 1-3, 2018, Russia, IEEE, ISBN 978-1-5386-9535-7

    Цитирания (Citation/s):
    1. Dichev, D., Zhelezarov, I., Madzharov, N., System for Measuring the Attitude of Moving Objects, Using a Kalman Filter and MEMS Sensors, Comptes rendus de l’Acade'mie bulgare des Sciences, Vol 72, No11, pp.1527-1536, DOI: 10.7546/CRABS.2019.11.10, Publishing House of BAS , ISSN: 1310-1331 - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Митева Р., Виртуално-механични еталони на формата и разположението, 2019 г., Софттрейд, ISBN 978-954-334-215-6 - 2019 - в български издания
    3. Liu, Yehui & Yu, Chengzhong & Liang, Xiaofeng & Qiu, Zengshuai & Zhang, Xinyue & Lian, Chao & Li, Jian & Ji, Jinghu & Shan, Peng & Lyu, Xiaoyong & Yang, Le & Yuliang, Zhao. (2023). Genetic Algorithms and Machine Learning Enhanced Laser Displacement Sensor Point Cloud Augmentation for Low-Cost, Large-Scale Flatness. IEEE Sensors Journal. PP. 1-1. 10.1109/JSEN.2023.3311644. - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум