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 и/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 и/или Web of Science
    4. Dichev D., Zhelezarov I., Karadzhov T., Georgiev B., Kupriyanov O., Dicheva R., Improving Accuracy in Dynamic Systems through Adaptive Identification of Model Errors within the Kalman Filter Structure, 2025, International Scientific Symposium Metrology and Metrology Assurance Mma, issue 2025, DOI 10.1109/MMA67107.2025.11311326, eissn 25349325 - 2026 - в издания, индексирани в Scopus

    Вид: публикация в международен форум, индексирана в Scopus и Web of Science