Want to choose the right machine learning method to inspect cultural heritage building. Read the article by an IIT Professor, Dr. Mayank Mishra. Dr. Mayank Mishra, from Indian Institute of Technology Bhubaneswar has suggested the application of machine leaning in structural health monitoring of cultural heritage buildings in his recent review article published in Journal of Cultural heritage (Elsevier). The article can be downloaded using the link https://doi.org/10.1016/j.culher.2020.09.005.
Inspection professionals working in heritage conservation field are confused with the task of choosing the right technique for inspecting monuments in order to assess its se. But whether you are on a tight budget, it truly is essential to arm oneself with the knowledge of machine learning techniques you require to make the appropriate choices.
If you wished a simple visual inspection, why would you use a costly laser scanner instead of a mobile camera? The very same notion retains when you carry our monument inspection, which is why it is critical for you to narrow down your selection a bit:
Dr. Mayank Mishra will make the selection for you if you follow his most downloaded paper in cultural heritage preservation, where he advocates the use of machine learning for inspection.
Scale of damage assessment survey? No matter what is the inspection you require, there is a technique of ML which does that? You could have choices based mostly on your knowledge about nondestructive testing, or you could truly read his paper on Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies. Information about future trends and possible application areas of machine learning are presented in his research work. Happy reading and happy researching.