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Found 6 papers, 5 papers with code
Determining HEDP Foams' Quality with Multi-View Deep Learning Classification
A common problem in foam production is the creation of defective foams.
ChangeChip: A Reference-Based Unsupervised Change Detection for PCB Defect Detection
In this paper, we introduce ChangeChip, an automated and integrated change detection system for defect detection in PCBs, from soldering defects to missing or misaligned electronic elements, based on Computer Vision (CV) and UL.
An End-to-End Computer Vision Methodology for Quantitative Metallography
(4) Deep anomaly detection and pattern recognition is performed on the inclusions masks to determine spatial, shape and area anomaly detection of the inclusions.
Flat-Combining-Based Persistent Data Structures for Non-Volatile Memory
Flat combining (FC) is a synchronization paradigm in which a single thread, holding a global lock, collects requests by multiple threads for accessing a concurrent data structure and applies their combined requests to it.
Distributed, Parallel, and Cluster Computing Operating Systems
Complete CVDL Methodology for Investigating Hydrodynamic Instabilities
In fluid dynamics, one of the most important research fields is hydrodynamic instabilities and their evolution in different flow regimes.
MLography: An Automated Quantitative Metallography Model for Impurities Anomaly Detection using Novel Data Mining and Deep Learning Approach
The micro-structure of most of the engineering alloys contains some inclusions and precipitates, which may affect their properties, therefore it is crucial to characterize them.
