A multi-stage faster RCNN-based iSPLInception for skin disease classification using novel optimization

R Josphineleela, PBV Raja Rao, A Shaikh… - Journal of Digital …, 2023 - Springer
Nowadays, skin cancer is considered a serious disorder in which early identification and
treatment of the disease are essential to ensure the stability of the patients. Several existing …

Geometric constraint and image inpainting-based railway track fastener sample generation for improving defect inspection

S Su, S Du, X Lu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Defective fastener images detection is an essential task in the vision-based railway track
safety inspection. Although existing methods have achieved some level of success, the …

A defect detection method for a boiler inner wall based on an improved YOLO-v5 network and data augmentation technologies

X Sun, X Jia, Y Liang, M Wang, X Chi - IEEE Access, 2022 - ieeexplore.ieee.org
During the long-term operation of a coal-fired boiler, some defects of its inner wall are
unavoidable. The traditional manual detecting method is time-consuming and not safe for …

Enhanced multiclass support vector data description model for fault diagnosis of gears

Z Tang, X Liu, D Wei, H Luo, P Jiang, L Bo - Measurement, 2022 - Elsevier
This work reports a study aimed at identifying the operating state of gear through an
enhanced multiclass support vector data description (eMSVDD) model where the multiple …

Detection method based on image enhancement and an improved faster R-CNN for failed satellite components

Y Cao, X Cheng, J Mu, D Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The components detection of a failed satellite is an important work in space on-orbit service.
However, the current detection methods for failed satellite components do not consider the …

[HTML][HTML] A particleboard surface defect detection method research based on the deep learning algorithm

Z Zhao, Z Ge, M Jia, X Yang, R Ding, Y Zhou - Sensors, 2022 - mdpi.com
Particleboard surface defects have a significant impact on product quality. A surface defect
detection method is essential to enhancing the quality of particleboard because the …

An accurate fake news detection approach based on a Levy flight honey badger optimized convolutional neural network model

DK Dixit, A Bhagat, D Dangi - Concurrency and Computation …, 2023 - Wiley Online Library
People can quickly acquire the news through a variety of sources, including websites, blogs,
and social media, among others. The spread of fake news has become easier as a result of …

[HTML][HTML] A novel robotic-vision-based defect inspection system for bracket weldments in a cloud–edge coordination environment

H Li, X Wang, Y Liu, G Liu, Z Zhai, X Yan, H Wang… - Sustainability, 2023 - mdpi.com
Arc-welding robots are widely used in the production of automotive bracket parts. The large
amounts of fumes and toxic gases generated during arc welding can affect the inspection …

A railway intrusion detection method based on decomposition and semi-supervised learning for accident protection

B Li, L Tan, F Wang, L Liu - Accident Analysis & Prevention, 2023 - Elsevier
In recent years, video surveillance has become increasingly popular in railway intrusion
detection. However, it is still quite challenging to detect the intruded objects efficiently and …

[HTML][HTML] Rail fastener status detection based on MobileNet-YOLOv4

J Fu, X Chen, Z Lv - Electronics, 2022 - mdpi.com
As an important part of track inspection, the detection of rail fasteners is of great significance
to improve the safety of train operation. Additionally, rail fastener detection belongs to small …