Deep industrial image anomaly detection: A survey

J Liu, G **e, J Wang, S Li, C Wang, F Zheng… - Machine Intelligence …, 2024 - Springer
The recent rapid development of deep learning has laid a milestone in industrial image
anomaly detection (IAD). In this paper, we provide a comprehensive review of deep learning …

Imaging systems and techniques for fusion-based metal additive manufacturing: a review

H Balhara, A Karthikeyan, A Hanchate… - Frontiers in …, 2023 - frontiersin.org
This study presents an overview and a few case studies to explicate the transformative
power of diverse imaging techniques for smart manufacturing, focusing largely on various in …

Applications of artificial intelligence and machine learning in metal additive manufacturing

LJ Ladani - Journal of Physics: Materials, 2021 - iopscience.iop.org
Artificial intelligence (AI) and additive manufacturing (AM) are both disruptive new
technologies. AI has entered many aspects of our lives, but has not been fully realized in the …

Physics-constrained deep learning for robust inverse ecg modeling

J **e, B Yao - IEEE Transactions on Automation Science and …, 2022 - ieeexplore.ieee.org
The rapid development in advanced sensing and imaging brings about a data-rich
environment, facilitating the effective modeling, monitoring, and control of complex systems …

Explainable AI-infused ultrasonic inspection for internal defect detection

A Karthikeyan, A Tiwari, Y Zhong, STS Bukkapatnam - CIRP Annals, 2022 - Elsevier
While AI and imaging technologies are dramatically transforming the process and machine
condition monitoring, product inspection remains confined to probing the geometry and …

How Should the Server Sleep?—Age-Energy Tradeoff in Sleep-Wake Server Systems

J Xu, X Wu, Q Huang, P Sun - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
The surging demand for fresh information from various Internet of Things (IoT) applications
requires oceans of data sampled from the physical environment to be transmitted and …

Smart defect identification for manufacturing applications

TG Nakkina, M Vinayaka, A Masad… - Surface Topography …, 2022 - iopscience.iop.org
Quality control procedures are fundamental to any manufacturing process to ensure that the
product conforms to a defined set of requirements. To meet the ever-growing demand for …

Fast FPGA Accelerator of Graph Cut Algorithm With Threshold Global Relabel and Inertial Push

G Yan, X Liu, H Wang, Y Ha - IEEE Transactions on Computer …, 2025 - ieeexplore.ieee.org
Graph cut algorithms are popular in optimization tasks related to min-cut and max-flow
problems. However, modern FPGA graph cut algorithm accelerators still need performance …

Information freshness in sleep-wake server systems

J Xu, Y Chen - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
Information freshness has garnered wide attention due to its importance in various
applications. In this work, we consider an information updating system in which the server …

[HTML][HTML] Learning graph-Fourier spectra of textured surface images for defect localization

TG Nakkina, A Karthikeyan, C Eksin… - Manufacturing …, 2024 - Elsevier
In the realm of industrial manufacturing, product inspection remains a significant bottleneck,
with only a small fraction of manufactured items undergoing inspection for surface defects …