Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing T. HerzogM. BrandtA. Molotnikov ReviewPaper Open access 13 April 2023 Pages: 1407 - 1437
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application Wei GuoYijin WangPingyu Jiang ReviewPaper 05 May 2023 Pages: 1439 - 1454
Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults Jianyu LongYibin ChenChuan Li OriginalPaper 18 April 2023 Pages: 1455 - 1467
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling C. IdzikA. KrämerJ. Lohmar OriginalPaper Open access 19 April 2023 Pages: 1469 - 1490
Power spectral density moment of having defective 3D printed plastic beams under moving load based on deep learning Thanh Q. NguyenNghi N. NguyenXuan Van Tran OriginalPaper 20 April 2023 Pages: 1491 - 1515
Flexible job shop scheduling with preventive maintenance consideration Michael Mario WockerFrederik Ferid OstermeierJochen Deuse OriginalPaper 24 April 2023 Pages: 1517 - 1539
Anticipatory analysis of AGV trajectory in a 5G network using machine learning Alberto MozoStanislav VakarukAntonio Pastor OriginalPaper Open access 25 April 2023 Pages: 1541 - 1569
A framework and method for equipment digital twin dynamic evolution based on IExATCN Kunyu WangLin ZhangJin Cui OriginalPaper 25 April 2023 Pages: 1571 - 1583
A novel 2.5D machining feature recognition method based on ray blanking algorithm Peng ShiXiaomeng TongShuai Niu OriginalPaper 27 April 2023 Pages: 1585 - 1605
Indirect porosity detection and root-cause identification in WAAM Joselito Yam II AlcarazWout FoquéTegoeh Tjahjowidodo OriginalPaper 29 April 2023 Pages: 1607 - 1628
Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence Angelo CardellicchioMassimiliano NittiVito Renò OriginalPaper 29 April 2023 Pages: 1629 - 1648
Genetic algorithm optimization based on manufacturing prediction for an efficient tolerance allocation approach Maroua GhaliSami ElghaliNizar Aifaoui OriginalPaper 02 May 2023 Pages: 1649 - 1670
Visual analytics for digital twins: a conceptual framework and case study Hangbin ZhengTianyuan LiuJinsong Bao OriginalPaper 03 May 2023 Pages: 1671 - 1686
A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion Simon OsterPhilipp P. BreeseSimon J. Altenburg OriginalPaper Open access 03 May 2023 Pages: 1687 - 1706
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data Chenze WangHan WangMin Liu OriginalPaper 06 May 2023 Pages: 1707 - 1719
Data-driven indirect punch wear monitoring in sheet-metal stamping processes Martin UnterbergMarco BeckerThomas Bergs OriginalPaper Open access 08 May 2023 Pages: 1721 - 1735
A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling Runyu ZhangYingjian LiuDong Qian OriginalPaper 12 May 2023 Pages: 1737 - 1764
High-precision point cloud registration system of multi-view industrial self-similar workpiece based on super-point space guidance Xingguo WangXiaoyu ChenJing Han OriginalPaper 12 May 2023 Pages: 1765 - 1779
A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification Nhat-To Huynh OriginalPaper 16 May 2023 Pages: 1781 - 1792
Developing an explainable hybrid deep learning model in digital transformation: an empirical study Ming-Chuan ChiuYu-Hsiang ChiangJing-Er Chiu OriginalPaper 17 May 2023 Pages: 1793 - 1810
GAN-based statistical modeling with adaptive schemes for surface defect inspection of IC metal packages Zhenshuang WuNian CaiHan Wang OriginalPaper 23 May 2023 Pages: 1811 - 1824
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold Andrew Chung Chee LawRongxuan WangZhenyu Kong OriginalPaper 23 May 2023 Pages: 1825 - 1844
Learning the manufacturing capabilities of machining and finishing processes using a deep neural network model Changxuan ZhaoShreyes N. Melkote OriginalPaper 24 May 2023 Pages: 1845 - 1865
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection Chen YinYulin WangYuxin Sun OriginalPaper 24 May 2023 Pages: 1867 - 1885
A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties Tarek IrakiLukas MorandDirk Helm OriginalPaper Open access 26 May 2023 Pages: 1887 - 1903