[HTML][HTML] A Review on Traditional and Artificial Intelligence-Based Preservation Techniques for Oil Painting Artworks
Oil paintings represent significant cultural heritage, as they embody human creativity and
historical narratives. The preservation of these invaluable artifacts requires effective …
historical narratives. The preservation of these invaluable artifacts requires effective …
Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data
In recent years, machine learning has been widely used in various fault diagnosis scenarios.
However, existing machine learning algorithms tend to work well in closed static …
However, existing machine learning algorithms tend to work well in closed static …
Noise robust damage detection of laminated composites using multichannel wavelet-enhanced deep learning model
MM Azad, HS Kim - Engineering Structures, 2025 - Elsevier
This paper presents a noise-robust damage detection framework for composite structures
via a commonly used vibration-based non-destructive testing (NDT) method. Recently, deep …
via a commonly used vibration-based non-destructive testing (NDT) method. Recently, deep …
[HTML][HTML] Autonomous data-driven delamination detection in laminated composites with limited and imbalanced data
MM Azad, S Kim, HS Kim - Alexandria Engineering Journal, 2024 - Elsevier
This study addresses the challenges of data scarcity and class imbalance in structural health
monitoring (SHM) of composite structures. Data-driven SHM techniques that benefit from …
monitoring (SHM) of composite structures. Data-driven SHM techniques that benefit from …
Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal
Wind Turbines are the most crucial devices in wind energy conversion systems to increase
energy generation efficiency from wind sources. Blade failure in wind turbines is due to the …
energy generation efficiency from wind sources. Blade failure in wind turbines is due to the …
[HTML][HTML] Deep Learning-Based Microscopic Damage Assessment of Fiber-Reinforced Polymer Composites
MM Azad, MN Prabhakar, HS Kim - Materials, 2024 - pmc.ncbi.nlm.nih.gov
Fiber-reinforced polymers (FRPs) are increasingly being used as substitutes for traditional
metallic materials across various industries due to their exceptional strength-to-weight ratio …
metallic materials across various industries due to their exceptional strength-to-weight ratio …
[HTML][HTML] Structural Health Monitoring of Laminated Composites Using Lightweight Transfer Learning
Due to their excellent strength-to-weight ratio, composite laminates are gradually being
substituted for traditional metallic materials in a variety of industries. However, due to their …
substituted for traditional metallic materials in a variety of industries. However, due to their …
Estimation of Extreme Value Distribution and Probability of Minor Failures in Rockfill Dam Response to Non-Stationary Seismic Excitation
G Cai, L Song, W Wang, HB Gong, Y Zou… - Geotechnical and …, 2024 - Springer
To address the problem of the small failure probability of highly reliable structures such as
rockfill dams, marine platforms and super high-rise buildings, in this paper, a method to …
rockfill dams, marine platforms and super high-rise buildings, in this paper, a method to …