- Artificial Intelligence Platform Proposal for Paint Structure Quality…
Počet záznamov: 1  

Artificial Intelligence Platform Proposal for Paint Structure Quality Prediction within the Industry 4.0 Concept

  1. Údaje o názveArtificial Intelligence Platform Proposal for Paint Structure Quality Prediction within the Industry 4.0 Concept
    Záhlavie-meno Kebísek, Michal, 1974- (Autor) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Ďal.zodpovednosť Tanuška, Pavol, 1966- Z1 (Autor) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Špendla, Lukáš, 1984- Z1 (Autor) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Kotianová, Janette, 1972- Z1 (Autor) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    Střelec, Peter, 1980- Z3 (Autor) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky
    In IFAC-PapersOnLine / IFAC World Congress. -- ISSN 2405-8963. -- Vol. 53, iss. 2: IFAC World Congress, Berlín, Germany, 12-17 July 2020 (2020), s. 11168-11174
    Predmet.heslá artificial intelligence
    automotive
    big data analytics
    Industry 4.0
    Jazyk dok.angličtina
    Druh dok.RZB - článok zo zborníka
    KategóriaAFC - Publikované príspevky na zahraničných vedeckých konferenciách
    Kategória od 2022V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka
    Typ výstupupríspevok z podujatia
    Rok2021
    2022JAVAID, Mohd - HALEEM, Abid - SINGH, Ravi Pratap - SUMAN, Rajiv. Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study. In JOURNAL OF INDUSTRIAL INTEGRATION AND MANAGEMENT-INNOVATION AND ENTREPRENEURSHIP, 2022, vol. 07, no. 01, pp. 83-111. ISSN 2424-8622.
    2022: TERCAN, Hasan - MEISEN, Tobias. Machine learning and deep learning based predictive quality in manufacturing: a systematic review. In: Journal of Intelligent Manufacturing, 2022-10-01, 33, 7, pp. 1879-1905. ISSN 09565515.
    2023: RUCKI, Miroslaw. Recent Development of Air Gauging in Industry 4.0 Context. In: Sensors, 2023-02-01, 23, 4, pp. ISSN 14248220.
    2023: KAMM, Simon - VEEKATI, Sushma Sri - MÜLLER, Timo - JAZDI, Nasser - WEYRICH, Michael. A survey on machine learning based analysis of heterogeneous data in industrial automation. In: Computers in Industry, 2023-08-01, 149, pp. ISSN 01663615.
    2023: SADAT LAVASANI, Mitra - RAEISI ARDALI, Nahid - SOTUDEH-GHAREBAGH, Rahmat - ZARGHAMI, Reza - ABONYI, János - MOSTOUFI, Navid. Big data analytics opportunities for applications in process engineering. In: Reviews in Chemical Engineering, 2023-04-01, 39, 3, pp. 479-511. ISSN 01678299.
    2023: AZEEM, Ahmad - MAI, Wenxuan - TIAN, Changyan - JAVED, Qaiser. Dry Weight Prediction of Wedelia trilobata and Wedelia chinensis by Using Artificial Neural Network and MultipleLinear Regression Models. In: Water, (2023), vol. 15, iss. 10.
    2023: TERCAN, Hasan - MEISEN, Tobias. Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023-08-06, pp. 4914-4923.
    2023: HEMALATHA, C. - SANKARANARAYANASAMY, K. - DURAIRAAJ, N. Fuzzy Tool in Optimizing WIP for Tubular Product of Boiler. In: International Journal of Engineering Trends and Technology, 2023-07-01, 71, 7, pp. 367-374. ISSN 23490918.
    2023: MACHHAN, Rishabh - TREHAN, Rupen - SINGH, Perminderjit - SANGWAN, Kuldip Singh. Blockchain, artificial intelligence, and big data: Advanced technologies for Industry 4.0. In: Industry 4.0: Concepts, Processes and Systems, 2023-11-10, pp. 141-160.
    2024: LEFEBVRE, S. - LECOINTRE, M. - LARDEUX, B. - GUYADER, J. M. - AUBRUN, O. - TOURÉ, B. - JRIDI, M. A Digital Ecosystem for Improving Product Design. In: Management of Digital EcoSystems : 15th International Conference, MEDES 2023. Cham: Springer, 2024, pp. 251-263. ISBN 978-3-031-51643-6.
    2025: MAKGABO, Manamela Lebogang - SUKDEO, Nita - LUMBWE, Alice Kabamba - MUKWAKUNGU, Sambil Charles. The Role of Industry 4.0 in Enhancing Quality in the Fast-Moving Consumer Goods (FMCG) Industry. In: Lecture Notes in Mechanical Engineering, 2025-01-01, pp. 93-104. ISSN 21954356.
    2025: MORALES MATAMOROS, Oswaldo - TAKEO NAVA, José Guillermo - MORENO ESCOBAR, Jesús Jaime - CEBALLOS CHÁVEZ, Blanca Alhely. Artificial Intelligence for Quality Defects in the Automotive Industry: A Systemic Review. In: Sensors, 2025-03-01, 25, 5, pp.
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