Zobrazeno 1 - 10
of 447
pro vyhledávání: '"Jun, Martin"'
Autor:
Mostafiz, Mir Imtiaz, Kim, Eunseob, Li, Adrian Shuai, Bertino, Elisa, Jun, Martin Byung-Guk, Shakouri, Ali
Cutting state monitoring in the milling process is crucial for improving manufacturing efficiency and tool life. Cutting sound detection using machine learning (ML) models, inspired by experienced machinists, can be employed as a cost-effective and n
Externí odkaz:
http://arxiv.org/abs/2410.17574
Autor:
Lee, Jiho, Akin, Semih, Sim, Yuseop, Lee, Hojun, Kim, Eunseob, Nam, Jungsoo, Song, Kyeongeun, Jun, Martin B.G.
Publikováno v:
In Manufacturing Letters October 2024 41 Supplement:1515-1525
Autor:
Kim, Eunseob, Bui, Thu, Yuan, Junyi, Chandra Mouli, S., Ribeiro, Bruno, Yeh, Raymond A., Fassnacht, Michael P., Jun, Martin B.G.
Publikováno v:
In Manufacturing Letters October 2024 41 Supplement:1386-1397
Autor:
Akin, Semih, Chang, Taehoo, Abir, Sk Shamim Hasan, Kim, Young Won, Xu, Shujia, Lim, Jongcheon, Sim, Yuseop, Lee, Jiho, Tsai, Jung-Ting, Nath, Chandra, Lee, Hyowon, Wu, Wenzhuo, Samuel, Johnson, Lee, Chi Hwan, Jun, Martin Byung-Guk
Publikováno v:
In Nano Energy October 2024 129 Part B
Autor:
Park, Hoonmin, Shin, Minchul, Choi, Gyubok, Sim, Yuseop, Lee, Jiho, Yun, Huitaek, Jun, Martin Byung-Guk, Kim, Gyuman, Jeong, Younghun, Yi, Hak
Publikováno v:
In Robotics and Computer-Integrated Manufacturing October 2024 89
Autor:
Fu, Xingyu, Zhou, Fengfeng, Peddireddy, Dheeraj, Kang, Zhengyang, Jun, Martin Byung-Guk, Aggarwal, Vaneet
In this work, we present a Boundary Oriented Graph Embedding (BOGE) approach for the Graph Neural Network (GNN) to serve as a general surrogate model for regressing physical fields and solving boundary value problems. Providing shortcuts for both bou
Externí odkaz:
http://arxiv.org/abs/2108.13509
Publikováno v:
In Surface & Coatings Technology 15 May 2024 483
Publikováno v:
In Mechanical Systems and Signal Processing 1 April 2024 211
Publikováno v:
In Journal of Manufacturing Processes 30 March 2024 114:232-246