Deep learning algorithm for real-time automatic crack detection, segmentation, qualification

G Xu, Q Yue, X Liu - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Cracking is one of the typical damages in concrete structures, and it is crucial to detect and
quantify cracks in a timely and efficient manner. However, current research primarily focuses …

[HTML][HTML] Explainable artificial intelligence paves the way in precision diagnostics and biomarker discovery for the subclass of diabetic retinopathy in type 2 diabetics

FH Yagin, S Yasar, Y Gormez, B Yagin, A Pinar… - Metabolites, 2023 - mdpi.com
Diabetic retinopathy (DR), a common ocular microvascular complication of diabetes,
contributes significantly to diabetes-related vision loss. This study addresses the imperative …

[HTML][HTML] Quick identification of open/closed state of GIS switch based on vibration detection and deep learning

K Zhang, Y Zhang, J Wu, Z Li - Electronics, 2023 - mdpi.com
The rapid and accurate identification of the opening and closing state of the knife switch in a
gas insulated switchgear (GIS) is very important for the timely detection of equipment faults …

Identification and Interpretation of Melt Pool Shapes in Laser Powder Bed Fusion with Machine Learning

MM Sato, VWH Wong, H Yeung… - Smart and …, 2024 - asmedigitalcollection.asme.org
Laser powder bed fusion (LPBF) is a popular additive manufacturing process with many
advantages compared with traditional (subtractive) manufacturing. However, ensuring the …

[HTML][HTML] Explainable Artificial Intelligence for Ancient Architecture and Lacquer Art

X Jiang, SN Harun, L Liu - Buildings, 2023 - mdpi.com
This research investigates the use of explainable artificial intelligence (XAI) in ancient
architecture and lacquer art. The aim is to create accurate and interpretable models to reveal …

Machine learning and additive manufacturing: A case study for quality control and monitoring

A Pratap, A Pandey, N Sardana - Modern Materials and …, 2024 - taylorfrancis.com
Integrating machine learning algorithms with additive manufacturing has significant potential
to enhance the quality control process in the revolution of Industry 4.0. As additive …

Original Research Article Examining the nuances of Huizhou architecture and building decoration elements within the framework of rural development and urban …

L Liu, R Ahmad, S Ahmad, X Jiang - Journal of Autonomous …, 2024 - jai.front-sci.com
This scholarly investigation immerses itself in the intricate domain of Huizhou architecture
and building decoration elements, which represent a distinct traditional Chinese …