| A review of current machine learning techniques used in manufacturing diagnosis TT Ademujimi, MP Brundage, VV Prabhu Advances in Production Management Systems. The Path to Intelligent …, 2017 | 106 | 2017 |
| Smart manufacturing through a framework for a knowledge-based diagnosis system MP Brundage, B Kulvatunyou, T Ademujimi, B Rakshith International Manufacturing Science and Engineering Conference 50749 …, 2017 | 40 | 2017 |
| Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems T Ademujimi, V Prabhu Sensors 22 (4), 1430, 2022 | 26 | 2022 |
| Fusion-Learning of Bayesian Network Models for Fault Diagnostics T Ademujimi, V Prabhu Sensors 21 (22), 7633, 2021 | 11 | 2021 |
| Development of novel hybrid manufacturing technique for manufacturing support structures free complex parts HA Khan, T Ademujimi International Manufacturing Science and Engineering Conference 58745 …, 2019 | 4 | 2019 |
| Model-Driven Bayesian Network Learning for Factory-Level Fault Diagnostics and Resilience T Ademujimi, V Prabhu Sustainability 16 (2), 513, 2024 | 1 | 2024 |
| Training of Bayesian Network model using Fusion-Learning and Engineering Models for Improved Fault Diagnostics T Ademujimi | | 2022 |
Michael P BrundageAssociate Research Engineer, Applied Research Laboratory for Intelligence and Security在 arlis.umd.edu 的电子邮件经过验证
