New Expert Systems Findings from Korea Advanced Institute of Science and Technology (KAIST) Outlined (Auto-detection of Acoustic Emission Signals From Cracking of Concrete Structures Using Convolutional Neural Networks: Upscaling From Specimen)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Expert Systems have been published. According to news reporting from Daejeon, South Korea, by NewsRx journalists, research stated, “Acoustic emission (AE) monitoring has gained significant interest as a promising method for monitoring of changes in structural integrity and durability. Long-term AE monitoring needs to detect and distinguish crack signals from ambient noise (or dummy) signals; however, it is still a daunting task which currently limits field implementation of the AE method.”