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Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.2999
Abstract: We report the use of a frequency‐localized adaptive soft sensor ensemble using the wavelet coefficients of the responses from the physical sensors. The proposed method is based on building recursive, partial least squares soft sensor…
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Keywords:
soft sensor;
least squares;
recursive partial;
wavelet ... See more keywords
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Published in 2024 at "Journal of Chemometrics"
DOI: 10.1002/cem.3539
Abstract: The rapid advancement of industrialization and urbanization has led to the global problem of air pollution. Air quality can decrease due to pollutants in the air, including types of gases and particles that are carcinogenic,…
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Keywords:
air;
air pollution;
wavelet;
air quality ... See more keywords
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Published in 2021 at "Ecology"
DOI: 10.1002/ecy.3360
Abstract: Identifying interspecific associations is very important for understanding the community assembly process. However, most methods provide only an average association and assume that the association strength does not vary along the environmental gradient or with…
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Keywords:
interspecific associations;
wavelet correlation;
along gradients;
wavelet ... See more keywords
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Published in 2019 at "Journal of Forecasting"
DOI: 10.1002/for.2634
Abstract: In the paper, we undertake a detailed empirical verification of wavelet scaling as a forecasting method through its application to a large set of noisy data. The method consists of two steps. In the first,…
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Keywords:
set noisy;
noisy data;
wavelet scaling;
large set ... See more keywords
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Published in 2019 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22292
Abstract: Source images are frequently corrupted by noise before fusion, which will lead to the quality decline of fused image and the inconvenience for subsequent observation. However, at present, most of the traditional medical image fusion…
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Keywords:
wavelet;
joint distribution;
model;
fusion ... See more keywords
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Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22537
Abstract: Breast cancer considered to be a significant health issue among women. Early detection will ensure the treatment is easier and more successful. Recently, numerous methodologies have developed using medical imaging to investigate breast cancer. This…
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Keywords:
breast;
early detection;
breast malignancy;
detection breast ... See more keywords
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Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22825
Abstract: The traditional process of disease diagnosis from medical images follows a manual process, which is tedious and arduous. A computer‐aided diagnosis (CADs) system can work as an assistive tool to improve the diagnosis process. In…
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Keywords:
wavelet;
lpnet;
pooling strategies;
discrete wavelet ... See more keywords
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Published in 2019 at "Microscopy Research and Technique"
DOI: 10.1002/jemt.23181
Abstract: Image processing is introduced to remove or reduce the noise and unwanted signal that deteriorate the quality of an image. Here, a single level two‐dimensional wavelet transform is applied to the image in order to…
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Keywords:
wiener filter;
wavelet;
image;
adaptive tuning ... See more keywords
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Published in 2024 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.10120
Abstract: In this paper, we introduce two novel wavelet approximations tailored for functions g$$ g $$ exhibiting a restricted second derivative and a bounded Tth$$ {T}^{th} $$ derivative. Employing the Hermite wavelet method, we derive these…
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Keywords:
best wavelet;
function;
hermite wavelet;
wavelet approximation ... See more keywords
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Published in 2025 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.10897
Abstract: In this paper, we explore wavelet convolutors in the ultradistribution space Mω$$ {\mathcal{M}}_{\omega } $$ . We examine wavelet convolutors by applying an appropriate topological isomorphism to these spaces via the wavelet transform. Additionally, we…
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Keywords:
ultradistributional wavelet;
wavelet convolutors;
wavelet;
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Published in 2024 at "Nmr in Biomedicine"
DOI: 10.1002/nbm.70038
Abstract: Accurate quantification of metabolites in magnetic resonance spectroscopy (MRS) is challenged by low signal‐to‐noise ratio (SNR), overlapping metabolites, and various artifacts. Particularly, unknown and unparameterized baseline effects obscure the quantification of low‐concentration metabolites, limiting MRS…
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Keywords:
analysis based;
wavelet analysis;
wavelet;
decomposition ... See more keywords