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   Articles with "based transformer" as a keyword



TEMCL: Prediction of Drug-Disease Associations Based on Transformer and Enhanced Multi-View Contrastive Learning

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recommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2025.3564360

Abstract: Drug repositioning (DR) has emerged as an effective method of identifying new indications for existing drugs. Many DR methods have demonstrated superior performance. However, most of them utilize a limited number of biological entities, ignoring… read more here.

Keywords: enhanced multi; transformer enhanced; drug; contrastive learning ... See more keywords

End-to-End Deblending of Simultaneous Source Data Using Transformer

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3174106

Abstract: Simultaneous source acquisition is becoming more promising than the traditional seismic acquisition by firing multiple sources with a short interval time, which improves acquisition efficiency and enhances data quality. However, the blended interference severely obscures… read more here.

Keywords: end end; source data; simultaneous source; source ... See more keywords

Axis-Based Transformer UNet for RGB Remote Sensing Image Denoising

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recommendations! Published in 2024 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2024.3418717

Abstract: Remote sensing images are different from ordinary images in that they have higher resolution, contain information of a larger area, and are characterized by strip-like objects in many scenes. The traditional Transformer model based on… read more here.

Keywords: rgb remote; axis based; unet rgb; transformer unet ... See more keywords

HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction

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recommendations! Published in 2024 at "IEEE Transactions on Computational Imaging"

DOI: 10.1109/tci.2024.3384809

Abstract: Deep learning has emerged as a prominent technique in the field of holographic imaging, owing to its rapidity and high performance. Prevailing deep neural networks employed for holographic image reconstruction predominantly rely on convolutional neural… read more here.

Keywords: contrastive regularization; reconstruction; image reconstruction; based transformer ... See more keywords

Patch-Based Transformer Network Construction With Adaptive Feature-Interaction for Hyperspectral Image Classification

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

DOI: 10.1109/tgrs.2024.3468387

Abstract: Hyperspectral image classification (HSIC) is widely used in such fields as vegetation classification and fine agriculture. Nowadays, numerous classification models based on Transformer networks are inputting data typically in the form of patches. However, such… read more here.

Keywords: classification; information; patch based; network ... See more keywords

Remaining Useful Life Estimation of Bearing Using Deep Multiscale Window-Based Transformer

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recommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3268453

Abstract: Accurate and reliable remaining useful life (RUL) estimation for bearings relies on the extraction of desired degradation features from vibration signals. Now, various feature extractors based on convolutional neural networks (CNNs) have been proposed for… read more here.

Keywords: window based; remaining useful; feature; based transformer ... See more keywords

Auxiliary Segmentation Method of Osteosarcoma MRI Image Based on Transformer and U-Net

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/9990092

Abstract: One of the most prevalent malignant bone tumors is osteosarcoma. The diagnosis and treatment cycle are long and the prognosis is poor. It takes a lot of time to manually identify osteosarcoma from osteosarcoma magnetic… read more here.

Keywords: mri image; segmentation method; segmentation; based transformer ... See more keywords

Spectral prediction method based on the transformer neural network for high-fidelity color reproduction.

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recommendations! Published in 2024 at "Optics express"

DOI: 10.1364/oe.534540

Abstract: Color distortion often occurs during transmission and reproduction processes, and existing spectral prediction methods have the disadvantage of low prediction accuracy in halftone reproduction. Addressing this issue, this paper establishes a halftone dataset composed of… read more here.

Keywords: spectral prediction; color reproduction; reproduction; based transformer ... See more keywords

Text Sentiment Analysis Based on Transformer and Augmentation

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recommendations! Published in 2022 at "Frontiers in Psychology"

DOI: 10.3389/fpsyg.2022.906061

Abstract: With the development of Internet technology, social media platforms have become an indispensable part of people’s lives, and social media have been integrated into people’s life, study, and work. On various forums, such as Taobao… read more here.

Keywords: text sentiment; analysis; based transformer; augmentation ... See more keywords

Patch-Based Transformer–Graph Framework (PTSTG) for Traffic Forecasting in Transportation Systems

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app151910468

Abstract: Accurate traffic forecasting underpins intelligent transportation systems. We present PTSTG, a compact spatio-temporal forecaster that couples a patch-based Transformer encoder with a data-driven adaptive adjacency and lightweight node graph blocks. The temporal module tokenizes multivariate… read more here.

Keywords: traffic forecasting; transportation systems; patch based; based transformer ... See more keywords

Novel Computed-Tomography-Based Transformer Models for the Noninvasive Prediction of PD-1 in Pre-Operative Settings

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recommendations! Published in 2023 at "Cancers"

DOI: 10.3390/cancers15030658

Abstract: Simple Summary Obtaining the PD-1/PD-L1 status is conducive to observing the patient’s response rate and constructing individualized immunotherapy strategies. However, biopsies are invasive in assessing the PD-1 status, entail sampling bias due to tumor heterogeneity,… read more here.

Keywords: status; prediction; based transformer; transformer based ... See more keywords