Results 111 to 120 of about 6,412,011 (307)

Bearing defect detection based on the improved YOLOv5 algorithm.

open access: yesPLoS ONE
In the field of bearing defect detection, Aiming at the problem of low efficiency in manual inspection and prone to missed detections in scenarios with small target defects, and overlapping targets, an improved YOLOv5-based object detection method is ...
Kangning Li   +3 more
doaj   +1 more source

An Incremental Unified Framework for Small Defect Inspection

open access: yes
Artificial Intelligence (AI)-driven defect inspection is pivotal in industrial manufacturing. Yet, many methods, tailored to specific pipelines, grapple with diverse product portfolios and evolving processes. Addressing this, we present the Incremental Unified Framework (IUF), which can reduce the feature conflict problem when continuously integrating ...
Jiaqi Tang 0005   +9 more
openaire   +3 more sources

Genetic dissection of human ABCE1 in yeast reveals separable requirements for ribosome recycling and suppression of aberrant reinitiation

open access: yesFEBS Open Bio, EarlyView.
Human ABCE1 cannot functionally replace its yeast ortholog. Yeast–human chimera analysis identified NBD1 as a major interspecies barrier. Genetic screening yielded hABCE1 revertants that rescue yeast viability but fail to suppress aberrant translation reinitiation in the 3′ UTR.
Eriko Nakata   +3 more
wiley   +1 more source

Performance Analysis of Printed Circuit Board Defect Detection with Hybrid CNN Module Image Feature Extraction and Clustering

open access: yesEng
Accurate and efficient defect detection in printed circuit boards (PCBs) is critical for manufacturing quality control. Existing methods predominantly rely on manually extracted features such as surface texture, color, and shape for defect recognition ...
Fan Jiang   +3 more
doaj   +1 more source

Defect-tolerant N2-transistor structure for reliable nanoelectronic designs

open access: yes, 2009
Nanodevices based circuit design will be based on the acceptance that a high percentage of devices in the design will be defective. In this work, we investigate a defect tolerant technique that adds redundancy at the transistor level and provides built ...
El-Maleh, A.H.   +7 more
core   +1 more source

IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo

open access: yesFEBS Open Bio, EarlyView.
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley   +1 more source

A lightweight dynamic network framework based on feature complexity awareness and frequency-domain feature fusion for rail surface defect detection

open access: yesEngineering Science and Technology, an International Journal
In real rail surface defect images, defect targets are small and the background is complex. Traditional deep learning methods struggle to capture small defect features, leading to low recognition accuracy.
Junjie Liang, Ying Song, Renjie Liang
doaj   +1 more source

Examples of images: (a) without defect, (b)& (c) with small defects, and (d:f) with big defects.

open access: yes, 2018
Examples of images: (a) without defect, (b)& (c) with small defects, and (d:f) with big defects.
Oumayma Essid (5949599)   +2 more
core   +1 more source

Surface modification of 3D‐printed polycaprolactone scaffolds with silk fibroin for bone tissue engineering

open access: yesFEBS Open Bio, EarlyView.
Coating 3D‐printed PCL scaffolds with silk fibroin can improve biocompatibility and bone cell adhesion. One innovative design for tissue‐engineering scaffolds uses 3D printing technology. Here, we used polycaprolactone (PCL) filament as a biocompatible material to design a porous 3D scaffold for bone tissue engineering.
Hamed Koeini   +7 more
wiley   +1 more source

YOLO-DST: MEMS Small-Object Defect Detection Method Based on Dynamic Channel–Spatial Modeling and Multi-Attention Fusion

open access: yesSensors
During the process of defect detection in Micro-Electro-Mechanical Systems (MEMSs), there are many problems with the metallographic images, such as complex backgrounds, strong texture interference, and blurred defect edges.
Qianwen Su, Hanshan Li
doaj   +1 more source

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