Now a days the importance of Deep Learning (DL) and Machine Learning (ML) are not negligible for researchers specially who are working in field of Structural Health Monitoring (SHM) and damage detection.
Some topics in this area are more older than the others like: proper sensor array, system identification problems, damage detection, damage localization, damage quantification and so on. However, some topics like: Data anomaly detection, Missing sensor data, image processing, etc. are more novel than above mentioned subjects.
- The main question for students who have began to study about SHM is that what are the novel subjects in SHM based Machine Learning and Deep Learning which are attracted considerable attention now a days ??
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