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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.09.088
Abstract: Abstract Dictionary learning and deep learning can be combined to boost the performance of classification tasks. However, existing combined methods often learn multi-level dictionaries each of which is embedded in a network layer, involve a…
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Keywords:
classification;
image;
auto encoder;
dictionary learning ... See more keywords
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Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1820619
Abstract: ABSTRACT Crop mapping is a challenging task due to the spatial, spectral, and temporal variations within the cropland. These variations cause high intra-class and low inter-class variability problems. In this study, inspired by Deep Learning…
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Keywords:
auto encoder;
spectral features;
encoder based;
crop mapping ... See more keywords
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Published in 2021 at "IETE Journal of Research"
DOI: 10.1080/03772063.2021.1958075
Abstract: Nowadays, cervical cancer has emerged as one of the major causes of death and thus makes it incredibly difficult to identify it. In this research, three novel methods have been developed for the au...
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Keywords:
extreme learning;
auto encoder;
learning system;
encoder based ... See more keywords
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Published in 2022 at "Applied optics"
DOI: 10.1364/ao.477898
Abstract: The optical 4×2 encoder is organized with a structure of dimensions 920n m×400n m, a resonance wavelength of 1310 nm, and a transmission threshold value of 30%. Based on the finite element method with the COMSOL…
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Keywords:
structure optical;
optical encoder;
hybrid plasmonic;
encoder ... See more keywords
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Published in 2023 at "Future Internet"
DOI: 10.3390/fi15020046
Abstract: In general, reliable PV generation prediction is required to increase complete control quality and avoid potential damage. Accurate forecasting of direct solar radiation trends in PV power production could limit the influence of uncertainties on…
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Keywords:
energy;
auto encoder;
feature;
auto ... See more keywords