An intelligent recognition system for insulator string defects based on dimension correction and optimized faster R-CNN
Sign Up to like & getrecommendations! Published in 2020 at "Electrical Engineering"
DOI: 10.1007/s00202-020-01099-z
Abstract: In this paper, an intelligent recognition system for insulator based on dimension correction and optimized faster region with convolutional neural network (R-CNN) is proposed. In the process of insulator pictures shooting, a laser radar is… read more here.
Keywords: dimension; faster cnn; correction; recognition ... See more keywords
Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-10711-8
Abstract: There are many solutions to prevent the spread of the COVID-19 virus and one of the most effective solutions is wearing a face mask. Almost everyone is wearing face masks at all times in public… read more here.
Keywords: face mask; faster cnn; yolov3 faster; face ... See more keywords
Intelligent fault detection of high voltage line based on the Faster R-CNN
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.01.072
Abstract: Abstract To realize intelligent fault detection of high voltage line, a deep convolution neural network method based on Faster R-CNN method is proposed to locate the broken insulators and bird nests. With the region proposal… read more here.
Keywords: intelligent fault; faster cnn; line; fault detection ... See more keywords
An Improved Faster R-CNN for Small Object Detection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2932731
Abstract: With the increase of training data and the improvement of machine performance, the object detection method based on convolutional neural network (CNN) has become the mainstream algorithm in field of the current object detection. However,… read more here.
Keywords: object detection; faster cnn; cnn small; small object ... See more keywords
Automatic Detection and Classification of Defective Areas on Metal Parts by Using Adaptive Fusion of Faster R-CNN and Shape From Shading
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224037
Abstract: Computer vision and deep learning approaches have an important role in industrial inspection systems. Computer vision technology is essential for fast, defect-free control of products in the production line. The importance of the computer vision… read more here.
Keywords: detection classification; faster cnn; surface; shape shading ... See more keywords
A New Approach to Polyp Detection by Pre-Processing of Images and Enhanced Faster R-CNN
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.3036005
Abstract: Colon cancer is the third most common cancer in the world, and it is increasingly threatening people’s health. Early diagnosis is crucial to reducing the threat; however, the chance of missed polyps in today’s colonoscopy… read more here.
Keywords: faster cnn; new approach; pre processing; approach ... See more keywords
Privacy-Preserving Object Detection for Medical Images with Faster R-CNN
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2019.2946476
Abstract: In this paper, we propose a lightweight privacy-preserving Faster R-CNN framework (SecRCNN) for object detection in medical images. Faster R-CNN is one of the most outstanding deep learning models for object detection. Using SecRCNN, healthcare… read more here.
Keywords: object detection; faster cnn; detection medical; privacy preserving ... See more keywords
Adaptive Defect Detection for 3-D Printed Lattice Structures Based on Improved Faster R-CNN
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3200362
Abstract: To detect the internal small defects of 3-D printed lattice structural samples, this study proposes an adaptive defect detection method based on a faster region-based convolutional neural networks (Faster R-CNNs) structure. A $K$ -medoids clustering… read more here.
Keywords: printed lattice; adaptive defect; faster cnn; defect detection ... See more keywords
Multiple Diseases and Pests Detection Based on Federated Learning and Improved Faster R-CNN
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3201937
Abstract: Traditional disease and pest detection technology employ cloud-based deep learning, which facing the pressures, such as high data storage and communication costs, unbalanced and insufficient data from orchards, diversity of pests and diseases, and complex… read more here.
Keywords: federated learning; faster cnn; detection; based federated ... See more keywords
Detection Method Based on Image Enhancement and an Improved Faster R-CNN for Failed Satellite Components
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3237809
Abstract: 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 effects of low illumination and small targets… read more here.
Keywords: satellite components; faster cnn; detection; image enhancement ... See more keywords
Design of Faster R-CNN-Based Fault Detection Method for Subway Vehicles
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/1400658
Abstract: A substantial amount of maintenance and fault data is not properly utilized in the daily maintenance of pantographs in urban metro cars. Pantograph fault analysis can begin with three factors: the external environment, internal flaws,… read more here.
Keywords: maintenance; faster cnn; design faster; pantograph fault ... See more keywords