Introduction Cracks, as structural defects or fractures in materials like concrete, asphalt, and
metal, pose significant challenges to the stability and safety of various structures. Addressing …

We present a novel damage detection method named CorCNN that utilizes one-dimensional
convolutional neural networks to detect damage based on observed changes in correlation …

This paper proposes a Structural Health Monitoring (SHM) approach to detect localized
damage by employing a Multi-Label Radial Basis Function Neural Network (ML-RBFNN) …

Self-built masonry structures are commonly used as houses in rural areas of the central
plains of China. These structures pose significant safety risks due to the low level of self …

Background: Image processing is crucial in different scientific fields and is at the core of
digital technology owing to its diverse uses. Due to the extensive usage of digital image …

Recent years have seen significant progress in using deep learning (DL) for image
processing. However, further investigation is required to effectively use DL approaches for …

Nowadays, AI-supported image analytics is present in many branches. New applications
based ontransfer learning suffer a lack of data, and data augmentation has become an …