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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3596859
Abstract: Motor fault diagnosis is a critical technology for ensuring the reliability of industrial equipment and enabling predictive maintenance. However, conventional fault diagnosis methods struggle to effectively capture complex time-frequency patterns, limiting their ability to perform…
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Keywords:
frequency aware;
fault diagnosis;
fault;
aware transformer ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3200396
Abstract: Building change detection (BCD) is significant for urban planning and environmental protection. In view of the interclass similarity and intraclass difference of building changes in complex built-up area, specialized solutions have been introduced in BCD.…
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Keywords:
information;
change detection;
aware transformer;
building change ... See more keywords
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Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3553429
Abstract: Visual object tracking utilizing adaptive computation presents challenges stemming from the complexities of modeling intricate motion patterns and achieving computational efficiency. While recent transformer-based trackers have shown promising results, they struggle to effectively capture varying…
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Keywords:
adaptive motion;
attention;
motion estimation;
motion ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3229361
Abstract: Hyperspectral images (HSIs) are generally distorted by various types of damage and degradation due to limited imaging conditions. Hence, noise reduction is an essential process before HSI interpretations and applications. In this article, a novel…
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Keywords:
global feature;
aware transformer;
local global;
feature ... See more keywords
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Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3558782
Abstract: Cracks are common on pavements. Accurate crack detection plays a vital role in pavement maintenance. However, cracks have rich and varied morphological features and fine edges, making this task challenging. Additionally, noise factors such as…
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Keywords:
segmentation;
morphology aware;
crack;
crack segmentation ... See more keywords
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Published in 2024 at "International journal of neural systems"
DOI: 10.1142/s0129065725500029
Abstract: This study presents a Subject-Aware Transformer-based neural network designed for the Electroencephalogram (EEG) Emotion Recognition task (SATEER), which entails the analysis of EEG signals to classify and interpret human emotional states. SATEER processes the EEG…
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Keywords:
subject aware;
aware transformer;
eeg;
emotion recognition ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4207940
Abstract: Accurately predicting the clinical endpoint in ICU based on the patient's electronic medical records (EMRs) is essential for the timely treatment of critically ill patients and allocation of medical resources. However, the patient's EMRs usually…
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Keywords:
time;
aware transformer;
hierarchical attention;
time aware ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8917964
Abstract: Person reidentification (ReID) is a challenging computer vision task for identifying or verifying one or more persons when the faces are not available. In ReID, the indistinguishable background usually affects the model's perception of the…
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Keywords:
aware transformer;
template aware;
template;
person reidentification ... See more keywords