Exploiting low dimensional features from the MobileNets for remote sensing image retrieval
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A screening method for ultra-high dimensional features with overlapped partition structures
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Predicting Ion Channels Genes and Their Types With Machine Learning Techniques
Sign Up to like & getrecommendations! 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