The data pre-processing and the in silico modeling pipeline are described in Additional file 1, along with model training and validation.
voxel selection, model training, and real-time classification.
To build the model, training and testing using experimental results from 120 specimens were conducted.
To construct the model, training and testing was conducted by using experimental results from 82 specimens.
Their performance depends directly on the data design chosen for model training and validation.
In the random mode of model validation, the collected 84 data sets were randomly divided into two groups, one for model training and the other for validation.
Historical generic pavement maintenance projects were gathered from the Taiwan transportation agencies and used for model training and testing.
Moreover, a relatively large sky database is assembled for model training and evaluation of the detection algorithm.
Grid-based radar-derived rainfalls of six typhoon events during 2012 2015 in three reservoir catchments of Taiwan are collected for model training and verifying.
For purpose of building the model, training and testing using experimental results from 126 specimens produced from two basic composites were conducted.
The most salient success factor categories were management support, choosing and customizing the agile model, training and coaching, and mindset and alignment.
