The intelligent detection of pavement distress using deep learning methods has consistently
been a hotspot in pavement maintenance. This paper aims to offer new insights to promote …

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 …

A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads,
which are of great importance, especially in transportation, is essential. Roads can …

Convolutional neural networks (CNNs) are a specialized class of deep neural networks. In
the present era, these have emerged as highly effective tools for a variety of computer vision …

The advancement of biomarkers is critically important at present, as lung cancer is a leading
cause of death. In the present study, volatile organic compounds (VOCs) are considered as …

“Beach cleaning robots” are used to pick up trash and debris from beaches. Beach cleaning
robots are becoming more and more popular since they can work continuously and …

With integration of collaborative robotics, robotic vision, and machine learning, the high-end
frontier reached in assistive robotics is likely to help develop promising solutions to the …

In this review paper, the applications of machine learning, computational methods, and
robotics to bridge design are considered to help improve structure integrity and resilience. It …

Accurate detection and classification of road faults such as cracks is critical for transportation
infrastructure maintenance. Road cracks impede comfortable traveling, endanger passenger …

As the economy of the entire world is dependent on gold prices, predictive study of gold
prices is an absolute necessity. Given the global economic interdependence on gold prices …