... and non-repudiable evidence for each critical step of defect management. Design/methodology/approach The system employs convolutional neural networks (CNNs) for automated crack detection from photos, evaluating various models. For better scalability, operational data is stored off-chain (Firebase...

... that a terrain for wind tunnel testing could be selected for any direction, as shown in Figure 2 . Remote sensing Land cover Neural network CNN Wind Building Land classification involves categorizing various land cover types, such as forests, agriculture, water bodies, urban areas and bare...

... considered as an optimal solution. Consequently, this paper introduces a novel, fully connected, optimised convolutional neural network (CNN) model using feature selection algorithms for the purpose of detecting cracks in highway pavements. Design/methodology/approach To enhance the accuracy of the CNN...