Choosing the system configuration for high-volume manufacturing

von Koren, Yoram
Veröffentlicht in International journal of production research (1-152018)

COMPARISON OF EARLY STOPPING NEURAL NETWORK AND RANDOM FOREST FOR IN-SITU QUALITY PREDICTION IN LASER BASED ADDITIVE MANUFACTURING

von Behnke, Matthew
Veröffentlicht in SME North American Manufacturing Research Conference (49. : 2021 : Online) 49th North American Manufacturing Research Conference (NAMRC 49) (2021)

MSEC2020-8468 Deep Learning-Based Data Fusion Method for In-Situ Porosity Detection in Laser- Based Additive Manufacturing

von Tian, Qi
Veröffentlicht in ASME International Manufacturing Science and Engineering Conference (15. : 2020 : Online) Proceedings of the ASME 15th International Manufacturing Science and Engineering Conference - 2020 ; Volume 2: Manufacturing processes - manufacturing systems - nano/micro/meso manufacturing - quality and reliability (2020)

Edge Enhancement for Image Segmentation Using a RKHS Method

von Burrows, Liam
Veröffentlicht in MIUA (23. : 2019 : Liverpool) Medical image understanding and analysis (2020)

A Survey on Counterfeits in the Information and Communications Technology (ICT) Supply Chain

von Saleh, Samar
Veröffentlicht in Proceedings of Seventh International Congress on Information and Communication Technology ; Volume 1 (2023)

Quantifying and Modeling Overheating Using 3D Pyrometry Map in Powder Bed Fusion

von Gawade, Vidita
Veröffentlicht in SME North American Manufacturing Research Conference (50. : 2022 : West Lafayette, Ind.) 50th SME North American Manufacturing Research Conference 2022 (NAMRC 50) ; Part 2 of 2 (2023)

MSEC2021-61775 Predicting Nugget Size of Resistance Spot Welds Using Infrared Thermal Videos With Image Segmentation and Convolutional Neural Network

von Guo, Shenghan
Veröffentlicht in ASME International Manufacturing Science and Engineering Conference (16. : 2021 : Online) Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference (MSEC2021) ; Volume 2: Manufacturing processes - manufacturing systems - nano/micro/meso manufacturing - quality and reliability (2021)