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   Articles with "domain data" as a keyword



Domain adaption based on source dictionary regularized RKHS subspace learning

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recommendations! Published in 2021 at "Pattern Analysis and Applications"

DOI: 10.1007/s10044-021-01002-x

Abstract: Domain adaption is to transform the source and target domain data into a certain space through a certain transformation, so that the probability distribution of the transformed data is as close as possible. The domain… read more here.

Keywords: rkhs subspace; source; domain data; domain ... See more keywords

Fault Diagnosis of Bearings With the Common-Domain Data

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3167761

Abstract: Rolling element bearings are one of the important components in rotating machines. Therefore, many studies on bearing diagnosis have been conducted with artificial intelligence (AI) to do maintenance on the machines on time. In general,… read more here.

Keywords: common domain; fault diagnosis; machine; domain ... See more keywords

Classification of Liver Fibrosis From Heterogeneous Ultrasound Image

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3240216

Abstract: With the advances in deep learning, including Convolutional Neural Networks (CNN), automated diagnosis technology using medical images has received considerable attention in medical science. In particular, in the field of ultrasound imaging, CNN trains the… read more here.

Keywords: external domain; performance; classification; domain ... See more keywords

DSVDCP: A Blockchain-Enhanced Vehicular Fog-Cloud Paradigm for Secure and Efficient Cross-Domain Data Sharing

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3565510

Abstract: In the context of rapid advancements in intelligent transportation technology, secure and efficient cross-domain data sharing imposes higher demands on the reliability and real-time responsiveness of transportation systems. However, the current architectures have limitations, such… read more here.

Keywords: data sharing; domain data; cross domain; vehicular fog ... See more keywords

Secure and Scalable Cross-Domain Data Sharing in Zero-Trust Cloud-Edge-End Environment Based on Sharding Blockchain

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recommendations! Published in 2024 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2023.3313799

Abstract: The cloud-edge-end architecture is suitable for many essential scenarios, such as 5G, the Internet of Things (IoT), and mobile edge computing. Under this architecture, cross-domain and cross-layer data sharing is commonly in need. Considering cross-domain… read more here.

Keywords: data sharing; cross domain; domain data; trust ... See more keywords

Sequence Labeling With Meta-Learning

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recommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2021.3118469

Abstract: Recent neural architectures in sequence labeling have yielded state-of-the-art performance on single domain data such as newswires. However, they still suffer from (i) requiring massive amounts of training data to avoid overfitting; (ii) huge performance… read more here.

Keywords: meta learning; sequence labeling; sequence; domain data ... See more keywords

Leveraging Consortium Blockchain for Secure Cross-Domain Data Sharing in Supply Chain Networks

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recommendations! Published in 2025 at "IEEE Transactions on Services Computing"

DOI: 10.1109/tsc.2025.3544130

Abstract: Supply Chain Networks (SCNs) play a vital role in achieving strategic decision-making for production and distribution facilities, aiming to meet market demands and gain competitive advantages. With the application of new-generation information technology in the… read more here.

Keywords: domain data; data sharing; cross domain; supply chain ... See more keywords

Deep learning of image- and time-domain data enhances the visibility of structures in optoacoustic tomography.

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recommendations! Published in 2021 at "Optics letters"

DOI: 10.1364/ol.424571

Abstract: Images rendered with common optoacoustic system implementations are often afflicted with distortions and poor visibility of structures, hindering reliable image interpretation and quantification of bio-chrome distribution. Among the practical limitations contributing to artifactual reconstructions are… read more here.

Keywords: time; domain data; image; visibility structures ... See more keywords

Fourier Domain Adaptation for the Identification of Grape Leaf Diseases

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app14093727

Abstract: With the application of computer vision in the field of agricultural disease recognition, the convolutional neural network is widely used in grape leaf disease recognition and has achieved remarkable results. However, most of the grape… read more here.

Keywords: domain; fourier domain; domain data; domain adaptation ... See more keywords