The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

Diagnosing surface cracks of concrete structures has been a critical aspect of assessing
structural integrity. Existing diagnosis technologies are time-consuming, subjective, and …

This study presents the application of deep learning technology in torsional capacity
evaluation of reinforced concrete (RC) beams. A data-driven model based on 2D …

Edge detection is a boundary‐based segmentation method to extract important information
from an image, and it is a research hotspot in the fields of computer vision and image …

In view of the problems of ineffective feature extraction and low detection accuracy in
existing detection system, this study presents a novel machine vision-based approach …

In the current modern era of information and technology, the concept of Building Information
Modeling (BIM), has made revolutionary changes in different aspects of engineering design …

This paper proposes a framework for obstacle-avoiding autonomous unmanned aerial
vehicle (UAV) systems with a new obstacle avoidance method (OAM) and localization …

Common damages in concrete materials and structures are usually in small sizes at initial
stage, which induce small stiffness and mass loss being difficult to evaluate severity level …

An expert performs bone fracture diagnosis using an X-ray image manually, which is a time-
consuming process. The development of machine learning (ML), as well as deep learning …

For the first time, this paper proposed a simple two-dimensional convolutional neural
network (2-D CNN) integrated with electromechanical admittance (EMA, inverse of …