Cracks are critical defects in concrete structures, traditionally identified through human inspection. However, computer vision techniques, especially convolutional neural networks (CNNs), offer ...

The efficient and accurate detection of cracks in concrete structures is critical for maintaining structural integrity and safety. This study compares two state-of-the-art convolutional neural network ...

Nanodrones—very small unmanned aerial vehicles—are being explored for use in healthcare, environmental monitoring, industrial ...

For this reason, this paper develops a fast concrete crack detection method based on percussion with an improved convolutional neural network (CNN). By utilizing the percussion method, the sensors do ...

Dyson is the top brand when it comes to cordless stick vacuums, and I’ve personally tested several of the latest models. The V15 Detect stands out thanks to its impressive suction power, which rivals ...

RAW’s strategy pursues two key objectives: destabilising Pakistan & undermining China’s interests, particularly CPEC ...

Professional pool liner repairs are expensive. Consider one of these pool patches as an easy, cost-effective DIY alternative.

As the Cold War intensified at the end of the 1950s, the U.S. Army devised a plan to build a sprawling launch site for ...

Explore which Long Beach home styles are losing appeal and uncover the distinct designs poised to become the area’s most ...

Defect detection requirements on the order of 10 defective parts per million (DPPM) are driving improvements in inspection ...

In the realm of infrastructure maintenance, a novel approach to detecting concrete bridge damage has emerged. Researchers have developed an automated detection method using an enhanced version of ...

Built in the heart of Cal’s campus in the Berkeley Hills overlooking San Francisco Bay — an area prone to seismic activity — ...