Muhammad Ihsan Mas
University of Indonesia(ID)
Research Areas
Fatigue and fracture mechanics, Non-Destructive Testing Techniques, Ultrasonics and Acoustic Wave Propagation, Machine Fault Diagnosis Techniques, Online Learning and Analytics
Most-Cited Works
- → An initial exploration of the suitability of long-short-term-memory networks for multiple site fatigue damage prediction on aircraft lap joints(2017)7 cited
- → Constant-amplitude fatigue crack growth sequence regression on an aircraft lap joint using a 1-D convolutional network(2017)2 cited
- → On the usage of hybrid 1-D convolutional network and long-short-term-memory network for constant-amplitude multiple-site fatigue damage prediction on aircraft lap joints(2017)
- → Knowledge trust in online programming communities(2017)