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   Articles with "learning network" as a keyword



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Establishment of a deep learning network based on feature extraction and its application in gearbox fault diagnosis

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recommendations! Published in 2019 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-019-09710-x

Abstract: Gearbox is an important part of mechanical equipment. If a fault cannot be timely detected, it will cause significant economic losses. In order to solve the problem of early fault diagnosis quickly and accurately, this… read more here.

Keywords: fault diagnosis; learning network; network; deep learning ... See more keywords
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A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management

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recommendations! Published in 2020 at "Journal of Network and Systems Management"

DOI: 10.1007/s10922-020-09512-5

Abstract: Modern networks and systems pose many challenges to traditional management approaches. Not only the number of devices and the volume of network traffic are increasing exponentially, but also new network protocols and technologies require new… read more here.

Keywords: machine learning; network; management; network system ... See more keywords

Transparent open-box learning network provides auditable predictions

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recommendations! Published in 2018 at "Journal of Thermal Analysis and Calorimetry"

DOI: 10.1007/s10973-018-7722-9

Abstract: The transparent open-box (TOB) learning network algorithm adds the useful dimensions to machine learning of auditability and interrogation of each prediction made. It achieves this by making available for instant inspection the exact calculations and… read more here.

Keywords: transparent open; tob; open box; box ... See more keywords
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Deep learning network for UAV person re-identification based on residual block

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recommendations! Published in 2020 at "Science China Information Sciences"

DOI: 10.1007/s11432-018-9633-7

Abstract: Dear editor, Unmanned aerial vehicles (UAVs) are well known for their flexibility and adaptability [1]. In recent years, UAVs have been commonly used as maneuverable cameras in surveillance systems. Consequently, people, as the primary monitoring… read more here.

Keywords: network uav; deep learning; person; identification ... See more keywords

Research on rolling bearing fault diagnosis of small dataset based on a new optimal transfer learning network

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recommendations! Published in 2021 at "Measurement"

DOI: 10.1016/j.measurement.2021.109285

Abstract: Abstract Due to limited conditions of production sites, only the small fault dataset (target dataset) of the rolling bearing can be collected, which leads to the failure construction of the effective deep learning network. Aiming… read more here.

Keywords: learning network; rolling bearing; transfer learning; network ... See more keywords
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Machine Learning and Network Analyses Reveal Disease Subtypes of Pancreatic Cancer and their Molecular Characteristics

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recommendations! Published in 2020 at "Scientific Reports"

DOI: 10.1038/s41598-020-58290-2

Abstract: Given that the biological processes governing the oncogenesis of pancreatic cancers could present useful therapeutic targets, there is a pressing need to molecularly distinguish between different clinically relevant pancreatic cancer subtypes. To address this challenge,… read more here.

Keywords: machine learning; pancreatic cancer; network analyses; cancer ... See more keywords

A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-97719-4

Abstract: Current artificial intelligence (AI) trends are revolutionizing medical image processing, greatly improving cervical cancer diagnosis. Machine learning (ML) algorithms can discover patterns and anomalies in medical images, whereas deep learning (DL) methods, specifically convolutional neural… read more here.

Keywords: cancer; cervical cancer; pca; learning network ... See more keywords

PairingNet: A Multi-Frame Based Vehicle Trajectory Prediction Deep Learning Network

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3260832

Abstract: The traffic infrastructure of a city requires evaluation and improvement through a large amount of data analysis. The construction and laborious work of traditional methods make computer vision flourish in traffic analysis. Among different computer… read more here.

Keywords: pairingnet; trajectory; deep learning; vehicle ... See more keywords

PDCNet: A Polarimetric Data-Enhanced Contrastive Learning Network for PolSAR Land Cover Classification

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3557252

Abstract: Polarimetric synthetic aperture radar (PolSAR) has rich polarization information, offering an efficient and reliable means of collecting information. However, how to effectively leverage these complex data to extract polarization features remains a key challenge. Recently,… read more here.

Keywords: polsar; learning network; learning; contrastive learning ... See more keywords

Hierarchical Interactive Learning Network for Infrared Small Target Detection

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

DOI: 10.1109/lgrs.2024.3431955

Abstract: Infrared small target detection (ISTD) is a challenging task due to the small size and lack of intrinsic features. Meanwhile, small targets in the infrared spectrum often exhibit low contrast, which makes them difficult to… read more here.

Keywords: small target; target detection; hierarchical interactive; learning network ... See more keywords

CLN: Cross-Domain Learning Network for 2D Image-Based 3D Shape Retrieval

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2021.3070969

Abstract: Retrieving 3D shapes based on 2D images is a challenging research topic, due to the significant gap between different domains. Recently, various approaches have been proposed to handle this problem. However, the majority of methods… read more here.

Keywords: domain; learning network; image; cross domain ... See more keywords