This paper introduces a multi-scale robotic approach for measuring the width, length, shape,
and profile of hairline cracks in concrete structures. The approach uses a convolutional …

After a seismic event, damage quantification is necessary for safety evaluation, collapse
proximity judgment, and measurement of the residual seismic capacity of the joints. Machine …

Ceiling-mounted fire service systems are the most widely used provisions to ensure building
fire safety. Current design distribution of fire detectors is based on semi-empirical …

Despite notable progress made in predicting the drift capacity of reinforced columns with
steel bars, these techniques and methods are proven inapplicable for accurately predicting …

Out-of-plane actions cause confined unreinforced masonry walls (URM) to develop what is
known as an arching action. The role of arching is central in the resisting mechanisms of a …

Tremendous effort has been devoted toward developing automated post-earthquake
inspection techniques, including automated image collection and damage identification …

This paper presents a novel computer‐aided computational framework to determine the
optimum shape parameters in a welding heat source model using a coupled supervised …

The development of a generalized machine learning approach based on distributed
detection and quantification of cracks by optical fibers is described in this article. A Brillouin …

Artificial intelligence (AI) and virtual/augmented reality (VR/AR) are facilitating objective and
fast assessment of infrastructures. Computer vision advancements are also transforming …

In recent years, there has been an explosive growth and overabundance of pelagic
Sargassum macroalgae in the North Atlantic Ocean, which wash up on the beaches in the …