Showing 181 - 200 results of 3,001 for search 'variations efficiency methods', query time: 0.16s Refine Results
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    Simulation and Dynamic Analysis of Small Advanced Insulated Compressed Air Energy Storage System by Yuxuan WANG, Yufeng ZHANG, Liansheng LI

    Published 2025-03-01
    “…[Method] A static model and a dynamic model of a small advanced compressed air energy storage system were established. …”
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    Article
  4. 184

    Variational Bayesian Variable Selection in Logistic Regression Based on Spike-and-Slab Lasso by Juanjuan Zhang, Weixian Wang, Mingming Yang, Maozai Tian

    Published 2025-07-01
    “…From the perspective of algorithm running time, the method proposed in this article also has high computational efficiency in many cases.…”
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  5. 185
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    Deep Learning‐Based Variational Autoencoder for Classification of Quantum and Classical States of Light by Mahesh Bhupati, Abhishek Mall, Anshuman Kumar, Pankaj K. Jha

    Published 2025-02-01
    “…The proposed VAE method is robust and maintains classification accuracy in the presence of losses inherent in an experiment, such as finite collection efficiency, non‐unity quantum efficiency, finite number of detectors, etc. …”
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  7. 187

    The Distribution of Sport Performance Gene Variations Through COVID-19 Disease Severity by Guven Yenmis, Ilayda Kallenci, Mehmet Dokur, Suna Koc, Sila Basak Yalinkilic, Evren Atak, Mahmut Demirbilek, Hulya Arkan

    Published 2025-03-01
    “…Inter-individual differences due to these genetic variations will broaden the horizon of knowledge on the pathophysiology of the disease.…”
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  8. 188

    Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models by Weixian Wang, Maozai Tian

    Published 2024-10-01
    “…The Gibbs sampling algorithm is a commonly used Bayesian method, and it can also be combined with the EM algorithm, denoted as GBEM. …”
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  9. 189

    Significant association of estrogen receptor binding site variation with bipolar disorder in females. by Lisette Graae, Robert Karlsson, Silvia Paddock

    Published 2012-01-01
    “…A nucleotide change in the binding sequence might alter the binding efficiency, which could affect transcription levels of nearby genes. …”
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  10. 190

    Enhancing Matrix Completion Using a Modified Second-Order Total Variation by Wendong Wang, Jianjun Wang

    Published 2018-01-01
    “…In particular, the proposed method becomes very competitive with the introduction of a modified second-order total variation, even when it is compared with some recently emerged matrix completion methods that also combine the low rank and smoothness priors of matrices together. …”
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  11. 191

    Improved yield and accuracy for DNA extraction in microbiome studies with variation in microbial biomass by Amy Davis, Christina Kohler, Ramzi Alsallaq, Randall Hayden, Gabriela Maron, Elisa Margolis

    Published 2019-06-01
    “…Our results indicate greater variation in microbiome composition between high and low biomass samples than variation between methods. …”
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  12. 192

    Variational autoencoder-based model improves polygenic prediction in blood cell traits by Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun

    Published 2025-10-01
    “…In this study, we seek to improve the predictive power of PRS through applying advanced deep learning techniques. We show that the variational autoencoder-based model for PRS construction (VAE-PRS) outperforms currently state-of-the-art methods for biobank-level data in 14 out of 16 blood cell traits, while being computationally efficient. …”
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    Adaptive variation regulates the expression of the human SGK1 gene in response to stress. by Francesca Luca, Sonal Kashyap, Catherine Southard, Min Zou, David Witonsky, Anna Di Rienzo, Suzanne D Conzen

    Published 2009-05-01
    “…Our results suggest a novel paradigm in which hormonal responsiveness is modulated by sequence variation in the regulatory regions of nuclear receptor target genes. …”
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  15. 195

    Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping by Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono

    Published 2025-01-01
    “…This article proposes a novel regularization method, named <italic>spatio-spectral structure tensor total variation</italic> (<inline-formula><tex-math notation="LaTeX">${\text{S}_{3} \text{TTV}}$</tex-math></inline-formula>), for denoising and destriping hyperspectral (HS) images. …”
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    Fault Diagnosis of Intershaft Bearing Using Variational Mode Decomposition with TAGA Optimization by Jing Tian, Shu-Guang Wang, Jie Zhou, Yan-Ting Ai, Yu-Wei Zhang, Cheng-Wei Fei

    Published 2021-01-01
    “…To efficiently extract the features of aeroengine intershaft bearing faults with weak signal, the variational mode decomposition (VMD) method based on the tolerant adaptive genetic algorithm (TAGA) (TAGA-VMD) is proposed by introducing the idea of tolerance into the traditional adaptive genetic algorithm in this paper. …”
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  18. 198

    OPTIMAL CONTROL ON CHOLERA DISEASE SPREADING MODEL WITH THREE VARIABLES CONTROL VARIATION by Irma Fitria, Talitha B Atlanta, Nadia Azahra, Choiriyah Agustina, Subchan Subchan, S Cahyaningtias

    Published 2022-06-01
    “…This disease is a deadly disease that necessitates efficient prevention and control measures. In this research, the optimal control of the cholera spread model with variations of three control variables is discussed. …”
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