Articles with "dimensional features" as a keyword



Exploiting low dimensional features from the MobileNets for remote sensing image retrieval

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Published in 2020 at "Earth Science Informatics"

DOI: 10.1007/s12145-020-00484-3

Abstract: Generally, traditional convolutional neural networks (CNN) models require a long training time and output high-dimensional features for content-based remote sensing image retrieval (CBRSIR). This paper aims to examine the retrieval performance of the MobileNets model… read more here.

Keywords: sensing image; dimensional features; retrieval; retrieval performance ... See more keywords

Pulsar Candidate Classification Using A Computer Vision Method Combining with Convolution and Attention

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Published in 2023 at "Research in Astronomy and Astrophysics"

DOI: 10.1088/1674-4527/accdc2

Abstract: Artificial intelligence methods are indispensable to identifying pulsars from large amounts of candidates. We develop a new pulsar identification system that utilizes the CoAtNet to score two-dimensional features of candidates, uses a multilayer perceptron to… read more here.

Keywords: candidate classification; dimensional features; using computer; pulsar candidate ... See more keywords

High-Quality Fusion and Visualization for MR-PET Brain Tumor Images via Multi-Dimensional Features

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Published in 2024 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2024.3404660

Abstract: The fusion of magnetic resonance imaging and positron emission tomography can combine biological anatomical information and physiological metabolic information, which is of great significance for the clinical diagnosis and localization of lesions. In this paper,… read more here.

Keywords: information; brain; fusion; dimensional features ... See more keywords

A screening method for ultra-high dimensional features with overlapped partition structures

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Published in 2022 at "Statistical Methods in Medical Research"

DOI: 10.1177/09622802221129043

Abstract: Ultra-high dimensional data, such as gene and neuroimaging data, are becoming increasingly important in biomedical science. Identifying important biomarkers from the huge number of features can help us gain better insights into further researches. Variable… read more here.

Keywords: dimensional features; ultra high; overlapped partition; variable screening ... See more keywords

A general framework for supervised structural health monitoring and sensor output validation mitigating data imbalance with generative adversarial networks-generated high-dimensional features

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Published in 2021 at "Structural Health Monitoring"

DOI: 10.1177/14759217211025488

Abstract: This study proposes a novelty-classification framework that applies to structural health monitoring (SHM) and sensor output validation (SOV) problems. The proposed framework has simple high-dimensional features with several advantages. First, the feature extraction method is… read more here.

Keywords: high dimensional; health monitoring; dimensional features; structural health ... See more keywords
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Predicting Ion Channels Genes and Their Types With Machine Learning Techniques

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Published in 2019 at "Frontiers in Genetics"

DOI: 10.3389/fgene.2019.00399

Abstract: Motivation: The number of ion channels is increasing rapidly. As many of them are associated with diseases, they are the targets of more than 700 drugs. The discovery of new ion channels is facilitated by… read more here.

Keywords: machine; dimensional features; predicting ion; ion channels ... See more keywords

User Profile Construction Based on High-Dimensional Features Extracted by Stacking Ensemble Learning

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Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15031224

Abstract: Online social networks, as platforms for personal expression, have evolved into complex networks integrating political and social dimensions. This evolution has shifted the focus of network governance from addressing hacking activities to mitigating unpredictable social… read more here.

Keywords: user profile; stacking ensemble; high dimensional; ensemble learning ... See more keywords