Showing 301 - 320 results of 3,710 for search 'variations integration methods', query time: 0.16s Refine Results
  1. 301

    Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework by Bolin Su, Haozhong Wang, Xingyu Zhu, Penghua Song, Xiaolei Li

    Published 2025-07-01
    “…To establish a rapid prediction model mapping sound speed profiles (SSPs) to acoustic TL through controllable generation, this study proposes a hybrid framework that integrates a variational autoencoder (VAE) and a normalizing flow (Flow) through a two-stage training strategy. …”
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    Study of seasonal variation in groundwater geochemistry for beneficial use of drinking and irrigation in Aundha Nagnath tehsil of Maharashtra, India by Vaishnavi Raut, Vasant Wagh, Kartik Tadse, Shankar Karuppannan

    Published 2025-04-01
    “…Abstract The study aims to understand the seasonal variation in groundwater geochemistry for drinking and irrigation uses in Aundha Nagnath tehsil of Maharashtra, India. …”
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  4. 304

    Application of aromatherapy in patients with cognitive impairment: An integrative review by Die Xing, Xin Chen, Yu Ma, Mengmeng Chen, Mei Fung Ho, Kylie Ka Yee Lam, Ying Zhou, Thomas Kwok Shing Wong

    Published 2025-04-01
    “…This integrative review examines the therapeutic applications of aromatherapy in cognitive impairment spectrum disorders, spanning from subjective cognitive decline to dementia. …”
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    Synergy and Effectiveness Evaluation of Carbon Policy and Government Subsidies: Variational Inequality Model Based on Supply Chain Network by Chao Wang, Hui Sun, Yuehu Wang

    Published 2025-03-01
    “…., production cost subsidies, low-carbon technology subsidies, and low-carbon product subsidies). By integrating these approaches, six distinct policy combinations were identified. …”
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  8. 308

    Color Variation in 3D-Printed Orthodontic Aligners as a Compliance Indicator: A Prospective Pilot Study by Francesca Cremonini, Giuseppe Chiusolo, Filippo Pepe, Luca Lombardo

    Published 2025-06-01
    “…This study investigated the potential of colorimetric analysis as a method to assess compliance with NOXI 3D-printed night-time aligners. …”
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  9. 309

    Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment by Sikkandar Mohamed Yacin, Sabarunisha Begum S., Alassaf Ahmad, AlMohimeed Ibrahim, Alhussaini Khalid, Aleid Adham, Alhaidar Abdulrahman Khalid

    Published 2025-02-01
    “…This study introduces an innovative method for minimizing artifacts in electroencephalography (EEG) signals by integrating brainstorm optimization (BSO) with a variational autoencoder generative adversarial network (VAE-GAN), resulting in the BrOpt_VAGAN model. …”
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  10. 310

    Geoelectrical resistivity and geochemistry monitoring of landfill leachates due to the seasonal variations and the implications on groundwater systems and public health by Joseph Omeiza Alao, Oche Joseph Otorkpa, Fahad Abubakar, Daniel Eshimiakhe, Abubakar Aliyu, Momohjimoh Abdulsalami, Danga Onimisi Abdulmalik

    Published 2024-11-01
    “…Finally, the combined techniques deployed for monitoring the physiochemical properties of LLPs due to seasonal variation and the impacts on the integrity of groundwater quality systems and public health inform sustainable waste management practices, which contributes significantly to the protection of groundwater resources and the development of effective strategies to safeguard groundwater systems and public health for present and future generations.…”
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    SVEA: an accurate model for structural variation detection using multi-channel image encoding and enhanced AlexNet architecture by Taixing Qiu, Jiawei Li, Yan Guo, Limin Jiang, Jijun Tang

    Published 2025-02-01
    “…Recent advances in deep learning have shown promise for SV detection; however, current methods still encounter key challenges in effective feature extraction and accurately predicting complex variations. …”
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  14. 314

    Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements by Yulei Xu, Kangyu Zhang, Liwei Jing, Biao Zhang, Shengren Fan, He Fang

    Published 2025-05-01
    “…Sea surface wind retrieval methods using synthetic aperture radar (SAR) are generally classified into two categories: the direct inversion method and the variational analysis method (VAM). …”
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    SCITUNA: single-cell data integration tool using network alignment by Aissa Houdjedj, Yacine Marouf, Mekan Myradov, Süleyman Onur Doğan, Burak Onur Erten, Oznur Tastan, Cesim Erten, Hilal Kazan

    Published 2025-03-01
    “…Results We introduce a novel method for batch effect correction named SCITUNA, a Single-Cell data Integration Tool Using Network Alignment. …”
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  18. 318

    A quest for understanding: older migrants’ wellbeing beyond integration in Sweden by Anna Zhou, Åsa Larsson Ranada, Susanne Roos, Ingrid Hellström

    Published 2025-08-01
    “…While Finnish speakers’ minority status eased integration, Arabic and Chinese speakers navigated systemic inclusion yet social exclusion. …”
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  19. 319

    Regional Differences and Dynamic Evolution of Agricultural Product Market Integration in China by Fuxing Liu, Yumeng Gu, Qin Liu

    Published 2025-04-01
    “…In this study, we employ the relative price method to measure the integration of the agricultural product market in 31 Chinese provinces from 2003 to 2022. …”
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  20. 320

    SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

    Published 2025-01-01
    “…This work introduces a semi-supervised approach for detecting epileptic seizures from electroencephalography data based on a novel deep learning-based method called SincVAE. This method integrates SincNet, designed to learn an ad-hoc array of bandpass filters, as the first layer of a variational autoencoder, potentially eliminating the preprocessing stage where informative frequency bands are identified and isolated. …”
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