Results 71 to 80 of about 326,783 (293)

Strip Surface Defect Detection Algorithm Based on YOLOv5

Materials, 2023
In order to improve the detection accuracy of the surface defect detection of industrial hot rolled strip steel, the advanced technology of deep learning is applied to the surface defect detection of strip steel. In this paper, we propose a framework for strip surface defect detection based on a convolutional neural network (CNN).
Han Wang, Xiuding Yang, Bei Zhou, Zhuohao Shi, Daohua Zhan, Renbin Huang, Jian Lin, Zhiheng Wu, Danfeng Long   +8 more
openaire   +2 more sources

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines [PDF]

, 2019
The present work is intended for residual oxide scale detection and classification through the application of image processing techniques. This is a defect that can remain in the surface of stainless steel coils after an incomplete pickling process in a
Cañero-Nieto, Juan Miguel, Martín-Fernández, Francisco de Sales, Solano-Martos, Jose Francisco   +2 more
core  

SURFACE DEFECT DETECTION WITH NEURAL NETWORKS

System technologies, 2020
The research results of signal recognition using neural networks are presented. A multilayer perceptron with back-propagation error is implemented on Java. The optimal number of neurons in the hidden layer is selected for building an effective architecture of the neural network.
Alexander Gurtovoy, Nataliya Matveeva
openaire   +2 more sources

Defect transformer: An efficient hybrid transformer architecture for surface defect detection

Measurement, 2023
Surface defect detection is an extremely crucial step to ensure the quality of industrial products. Nowadays, convolutional neural networks (CNNs) based on encoder-decoder architecture have achieved tremendous success in various defect detection tasks.
Junpu Wang, Guili Xu, Fuju Yan, Jinjin Wang, Zhengsheng Wang   +4 more
openaire   +2 more sources

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Solid Surfaces, Defects and Detection

Coatings
In the modern industrial field, particularly in steel and automobile manufacturing, detecting defects in steel surfaces is crucial to product quality and safety [...]
openaire   +2 more sources

Dihydroorotate dehydrogenase (DHODH) regulates trophoblast syncytialization through organelle stress–induced cellular senescence

FEBS Open Bio, EarlyView.
The inhibition of mitochondrial dihydroorotate dehydrogenase (DHODH) impairs syncytialization and induces cellular senescence via mitochondrial and endoplasmic reticulum stress in human trophoblast stem cells, elevating sFlt1/PlGF levels, a hallmark of placental dysfunction in hypertensive disorders of pregnancy.
Kanoko Yoshida, Kazuya Kusama, Ayaka Horiuchi, Yu Kawaguchi, Atsuya Tsuru, Mikihiro Yoshie, Kazuhiro Tamura   +6 more
wiley   +1 more source

Research on surface defect detection method and optimization of paper-plastic composite bag based on improved combined segmentation algorithm

Nonlinear Engineering
At present, the detection of surface defects of paper-plastic composite bags still mainly depends on manual visual inspection, which is very inefficient and easy to cause false detection.
Guoping Yan, Yimeng Han, Lan Xiao, Shiran Wu, Fei Zhong, Jiansheng Zhang   +5 more
doaj   +1 more source

Online metallic surface defect detection using deep learning

Emerging Materials Research, 2020
Across a range of manufacturing contexts, automated quality control has been gaining significant attention because it offers competitive advantages such as cost reduction, high accuracy in defect detection and system stability over time. Although computer vision has been historically the most commonly applied method in this context, novel approaches ...
Feyza Cerezci, Serap Kazan, Muhammed Ali Oz, Cemil Oz, Tugrul Tasci, Selman Hizal, Caglayan Altay   +6 more
openaire   +2 more sources