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Deep industrial image anomaly detection: A survey
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 …
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
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 …
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 …
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
The rapid development in advanced sensing and imaging brings about a data-rich
environment, facilitating the effective modeling, monitoring, and control of complex systems …
environment, facilitating the effective modeling, monitoring, and control of complex systems …
Explainable AI-infused ultrasonic inspection for internal defect detection
While AI and imaging technologies are dramatically transforming the process and machine
condition monitoring, product inspection remains confined to probing the geometry and …
condition monitoring, product inspection remains confined to probing the geometry and …
How Should the Server Sleep?—Age-Energy Tradeoff in Sleep-Wake Server Systems
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 …
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 …
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 …
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 …
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
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 …
with only a small fraction of manufactured items undergoing inspection for surface defects …