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   Articles with "feature reconstruction" as a keyword



IoT botnet detection with feature reconstruction and interval optimization

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.23074

Abstract: The existing botnet detection methods have the problems of uneven sampling, poor feature selection, and weak generalization ability, resulting in low detection and classification results and poor adaptability to the internet of things (IoT) environment… read more here.

Keywords: interval optimization; feature; detection; feature reconstruction ... See more keywords

Convolutional neural network with feature reconstruction for monitoring mismatched photovoltaic systems

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recommendations! Published in 2020 at "Solar Energy"

DOI: 10.1016/j.solener.2020.09.026

Abstract: Abstract The cutting-edge monitoring technique of photovoltaic power systems tends to employ cloud servers for big data analysis in the wake of smart sensors and internet of things (IoT). Various mismatch phenomena of photovoltaic arrays… read more here.

Keywords: network feature; convolutional neural; monitoring; neural network ... See more keywords

A feature reconstruction and SAE model based diagnosis method for multiple mixed faults

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad4c8b

Abstract: Owing to the merits of automatic feature extraction and depth structure, intelligent fault diagnosis based on deep neural networks has become a great concern. However, the non-fault state monitoring data volume of actual industrial machinery… read more here.

Keywords: feature reconstruction; model based; multiple mixed; based diagnosis ... See more keywords

Occluded Person Re-Identification Method Based on Multiscale Features and Human Feature Reconstruction

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3203706

Abstract: Occluded Re-ID task is proposed mainly because people are often occluded by various obstacles in the real world, which greatly affects the accuracy of model matching.In view of the challenge of occluded Re-ID, the main… read more here.

Keywords: human feature; feature reconstruction; method based; method ... See more keywords

3-D Facial Feature Reconstruction and Learning Network for Facial Expression Recognition in the Wild

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recommendations! Published in 2023 at "IEEE Transactions on Cognitive and Developmental Systems"

DOI: 10.1109/tcds.2022.3157772

Abstract: Facial expression recognition (FER) in the wild unavoidably suffers from the effects of face posture, illumination, and partial occlusion. In this article, we attempt to alleviate the above negative effects and improve the performance of… read more here.

Keywords: network; face; geometry; reconstruction ... See more keywords

Full-Scale Feature Aggregation and Grouping Feature Reconstruction-Based UAV Image Target Detection

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3392794

Abstract: Unmanned aerial vehicle (UAV) image target detection holds significant value for a wide range of applications in modern society. However, due to the variable flight altitude of UAV, the captured images often exhibit significant differences… read more here.

Keywords: detection; uav image; feature reconstruction; aggregation ... See more keywords

SFFR: Spatial–Frequency Feature Reconstruction for Multispectral Aerial Object Detection

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3631708

Abstract: Recent multispectral object detection methods have primarily focused on spatial-domain feature fusion based on CNNs or Transformers, while the potential of frequency-domain feature remains underexplored. In this work, we propose a novel spatial and frequency… read more here.

Keywords: feature reconstruction; object detection; spatial frequency; frequency feature ... See more keywords

Holistic Feature Reconstruction-Based 3-D Attention Mechanism for Cross-Spectral Periocular Recognition

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recommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2022.3224854

Abstract: Recognition of individuals in cross-spectral environments involves situations where probe and gallery images are captured in distinct wavelength ranges and hence differ significantly in terms of appearance and illumination. In case of heterogeneous periocular images,… read more here.

Keywords: recognition; cross spectral; feature; feature reconstruction ... See more keywords

NOLSAGAN: A NO-Label Self-Attention Segmentation Method Based on Feature Reconstruction Using Generative Adversarial Networks for Optical Fiber End-Face

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recommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3427856

Abstract: Surface flaws on the optical fiber end-face cause signal attenuation, transmission loss, or an unstable optical fiber connection. Most deep-learning-based defect detection systems are inextricably linked to large defect images with pixel-level annotations, which are… read more here.

Keywords: feature reconstruction; adversarial networks; fiber end; optical fiber ... See more keywords

An Adversarial Training Framework Based on Unsupervised Feature Reconstruction Constraints for Crystalline Silicon Solar Cells Anomaly Detection

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recommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3462989

Abstract: Photovoltaic (PV) power generation has risen prominently across the globe. However, the functioning of PV systems can be substantially diminished by defective solar cells. Electroluminescence (EL) imaging has emerged as an effective tool for identifying… read more here.

Keywords: feature reconstruction; framework; solar cells; reconstruction ... See more keywords

Global and Local Feature Reconstruction for Medical Image Segmentation

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recommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2022.3162111

Abstract: Learning how to capture long-range dependencies and restore spatial information of down-sampled feature maps are the basis of the encoder-decoder structure networks in medical image segmentation. U-Net based methods use feature fusion to alleviate these… read more here.

Keywords: image segmentation; feature; medical image; feature reconstruction ... See more keywords