Multiscale Convolution-Based Probabilistic Classification for Detecting Bare PCB Defects
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3229708
Abstract: Defect detection is an essential part of quality management for bare printed circuit board (PCB) production. Existing vision-based methods are not effective in detecting PCB defects when uncertainty exists. This article proposes a multiscale convolution-based… read more here.
Keywords: methodology; pcb; bare; multiscale convolution ... See more keywords
Cascade Residual Multiscale Convolution and Mamba-Structured UNet for Advanced Brain Tumor Image Segmentation
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DOI: 10.3390/e26050385
Abstract: In brain imaging segmentation, precise tumor delineation is crucial for diagnosis and treatment planning. Traditional approaches include convolutional neural networks (CNNs), which struggle with processing sequential data, and transformer models that face limitations in maintaining… read more here.
Keywords: residual multiscale; brain; multiscale convolution; segmentation ... See more keywords
Discrimination of Pesticide Residue Levels on the Hami Melon Surface Using Multiscale Convolution
Sign Up to like & getrecommendations! Published in 2022 at "Foods"
DOI: 10.3390/foods11233881
Abstract: Pesticide residues directly or indirectly threaten the health of humans and animals. We need a rapid and nondestructive method for the safety evaluation of fruits. In this study, the feasibility of visible/near-infrared (Vis/NIR) spectroscopy technology… read more here.
Keywords: accuracy; multiscale convolution; pesticide; discrimination ... See more keywords