Počet záznamov: 1
Approach to automated visual inspection of objects based on artificial intelligence
Názov Approach to automated visual inspection of objects based on artificial intelligence Autor Kuric Ivan Spoluautori Klarák Jaromír 1994- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Bulej Vladimír Sága Milan Kandera Matej Hajdučík Adrián Tucki Karol Zdroj.dok. Applied Sciences-Basel. Vol. 12 (2022), art. no. 864 Jazyk dok. eng - angličtina Krajina CH - Švajčiarsko Druh dok. rozpis článkov z periodík (rbx) Ohlasy ERCAN, M. Fikret - WANG, Ricky Ben. Computer Vision-Based Inspection System for Worker Training in Build and Construction Industry. In COMPUTERS, 2022, vol. 11, no. 6, pp. ISSN 2073-431X. Dostupné na: https://doi.org/10.3390/computers11060100. RIO-TORTO, Isabel - CAMPANICO, Ana Teresa - PINHO, Pedro - FILIPE, Vitor - TEIXEIRA, Luis F. Hybrid Quality Inspection for the Automotive Industry: Replacing the Paper-Based Conformity List through Semi-Supervised Object Detection and Simulated Data. In APPLIED SCIENCES-BASEL, 2022, vol. 12, no. 11, pp. Dostupné na: https://doi.org/10.3390/app12115687. XUE, Wen - ZHAO, Chenyang - FU, Wenpeng - DU, Jianjun - YAO, Yingxue. On-Machine Detection of Sub-Microscale Defects in Diamond Tool Grinding during the Manufacturing Process Based on DToolnet. In SENSORS, 2022, vol. 22, no. 7, pp. Dostupné na: https://doi.org/10.3390/s22072426. BI, Changsheng - LIU, Libin - ZHOU, Ming - LIU, Shangyi - ZHAO, Zhiyuan - LI, Lei. Artificial Intelligence Applied in Electrical Engineering Automation. In Lecture Notes on Data Engineering and Communications Technologies, 2022-01-01, 138, pp. 62-69. ISSN 23674512. Dostupné na: https://doi.org/10.1007/978-3-031-05484-6_8. CHÁVEZ, J.Y.R. - CASTELLANOS, H.G. - ORTIZ, C.A.O. - MURILLO, D.D. Intelligent system for the continuous improvement of visual inspection of damage in auto parts in the industry. In IPSUMTEC. ISSN 2594-2905, 2022, vol. 5, no. 5, pp. 1-9. MA, R.C. - CAI, L.H. Visual analysis of forest sports and health tourism based on artificial intelligence. In JOURNAL OF ELECTRONIC IMAGING. ISSN 1017-9909, NOV 1 2022, vol. 31, no. 6. Dostupné na: https://doi.org/10.1117/1.JEI.31.6.062008. KOVáC, J. - MALEGA, P. - RUDY, V. - SVETLíK, J. Vumark's Method of Production Layout Designing. In APPLIED SCIENCES-BASEL. FEB 2023, vol. 13, no. 3. Dostupné na: https://doi.org/10.3390/app13031496. PEI, M.J. - LIU, N.Z. - GAO, P. - SUN, H. Reverse Knowledge Distillation with Two Teachers for Industrial Defect Detection. In APPLIED SCIENCES-BASEL. MAR 2023, vol. 13, no. 6. Dostupné na: https://doi.org/10.3390/app13063838. SUTKA, J. - MEDVECKá, D. - KONAR, R. - BRUNA, M. - MATEJKA, M. Evaluation of Selected Technological Parameters for Selective Laser Melting of AlSi10Mg Metal Powder. In MANUFACTURING TECHNOLOGY. ISSN 1213-2489, FEB 2023, vol. 23, no. 1, p. 110-117. Dostupné na: https://doi.org/10.21062/mft.2023.003. WANG, Yuanbin - WANG, Wenhu. Generative Adversarial Network-Based Data Augmentation for Tyre Surface Defect Detection. In IEEE International Conference on Automation Science and Engineering, 2023-01-01, 2023-August, pp. ISSN 21618070. Dostupné na: https://doi.org/10.1109/CASE56687.2023.10260675. CHEN, J. - FANG, G. - GAO, H. Presearch progress of surface defect detection based on machine vision technology. In Application Research of Computers. ISSN 1001-3695, 2023, vol. 40, no. 4, pp. 967-977. MAJEWSKI, Wojciech - DOSTATNI, Ewa - DIAKUN, Jacek - MIKOLAJEWSKI, Dariusz - ROJEK, Izabela. Utilizing Selected Machine Learning Methods for Conicity Prediction in the Process of Producing Radial Tires for Passenger Cars. In APPLIED SCIENCES-BASEL, 2024, vol. 14, no. 15, pp. Dostupné na: https://doi.org/10.3390/app14156393. HUETTEN, Nils - ALVES GOMES, Miguel - HOELKEN, Florian - ANDRICEVIC, Karlo - MEYES, Richard - MEISEN, Tobias. Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers. In APPLIED SYSTEM INNOVATION, 2024, vol. 7, no. 1, pp. Dostupné na: https://doi.org/10.3390/asi7010011. ZHOU, You - ZHANG, Jinhua - NI, Peng - CAO, Qianqian - HU, Jun. A customised ConvNeXt-SCC network: integrating improved principal component analysis with ConvNeXt to enhance tire crown defect detection. In NONDESTRUCTIVE TESTING AND EVALUATION, 2024, vol., no., pp. ISSN 1058-9759. Dostupné na: https://doi.org/10.1080/10589759.2024.2406448. HE, Yaoxu - LI, Hongyan - WANG, Peng. Enhancing Throughput for TTEthernet via Co-optimizing Routing and Scheduling: An Online Time-Varying Graph-based Method. In Arxiv, 2024, vol., no., pp. Dostupné na: https://doi.org/arXiv:2401.06579. Kategória ADCA - Vedecké práce v zahraničných karentovaných časopisoch impaktovaných Kategória (od 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Typ výstupu článok Rok vykazovania 2022 Registrované v WOS Registrované v SCOPUS Registrované v CCC DOI 10.3390/app12020864 
článok
rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2022 2021 2.838 Q2 0.507 Q2
Počet záznamov: 1