Showing 1,241 - 1,260 results of 13,904 for search '"estimator"', query time: 0.07s Refine Results
  1. 1241
  2. 1242

    Re‐Evaluation of Low Cloud Amount Relationships With Lower‐Tropospheric Stability and Estimated Inversion Strength by Lauren Cutler, Michael A. Brunke, Xubin Zeng

    Published 2022-06-01
    “…Abstract Lower‐tropospheric stability (LTS) and estimated inversion strength (EIS) have a widely accepted relationship with low cloud amount and are key observational foundations for understanding and modeling low‐level stratiform clouds. …”
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  3. 1243
  4. 1244
  5. 1245

    Strong Consistency of Estimators in a Partially Linear Model with Asymptotically Almost Negatively Associated Errors by Yu Zhang, Xinsheng Liu, Mohamed Sief

    Published 2020-01-01
    “…Under some mild conditions, we establish the strong consistency of least squares estimators, weighted least squares estimators, and the ultimate weighted least squares estimators for the unknown parameter, respectively. …”
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  6. 1246

    Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations by Feng-Gang Yan, Jun Wang, Shuai Liu, Yi Shen, Ming Jin

    Published 2018-01-01
    “…A low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal classification (MUSIC) algorithm for direction of arrival (DOA) estimation, in which both tasks of eigenvalue decomposition (EVD) and spectral search are implemented with efficient real-valued computations, leading to about 75% complexity reduction as compared to the standard MUSIC. …”
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  7. 1247

    Estimate of the Arctic Convective Boundary Layer Height from Lidar Observations: A Case Study by L. Di Liberto, F. Angelini, I. Pietroni, F. Cairo, G. Di Donfrancesco, A. Viola, S. Argentini, F. Fierli, G. Gobbi, M. Maturilli, R. Neuber, M. Snels

    Published 2012-01-01
    “…The lidar observations have been used to estimate the PBL height by using the gradient method based on abrupt changes in the vertical aerosol profile and monitor its temporal evolution. …”
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  8. 1248

    Estimation of Antioxidant Levels in Saliva and Serum of Chronic Periodontitis Patients with and without Ischemic Heart Disease by Anahita Punj, Santhosh Shenoy, N. Suchetha Kumari, Priyanka Pampani

    Published 2017-01-01
    “…To investigate whether there is a relationship between periodontitis and ischemic heart disease by estimation of total antioxidant status in saliva and serum. …”
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  9. 1249
  10. 1250

    Seasonal Tree Height Dynamic Estimation Using Multi-source Remotely Sensed Data in Shenzhen by Hang Song, Xuemei Zhang, Ting Hu, Jinglei Liu, Bing Xu

    Published 2025-01-01
    “…By integrating these features with machine learning, deep learning, and optimization methods, we dynamically estimated tree heights in Shenzhen during summer and winter from 2018 to 2023 and validated seasonal and regional scalability. …”
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  11. 1251

    Explicit scheme based on integral transforms for estimation of source terms in diffusion problems in heterogeneous media by André José Pereira de Oliveira, Luiz Alberto da Silva Abreu, Diego Campos Knupp

    Published 2023-12-01
    “… The estimation of source terms present in differential equations has various applications, ranging from structural assessment, industrial process monitoring, equipment failure detection, environmental pollution source detection to identification applications in medicine. …”
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  12. 1252

    Rock Deformation Estimated by Groundwater-Level Monitoring: A Case Study at the Xianshuihe Fault, China by Yuqing Zhao, You-Kuan Zhang, Xiuyu Liang, Zheming Shi, Yonglin Yang, Feifei Li

    Published 2022-01-01
    “…The pattern of the variations in areal strain estimated with GLM matches that from CFM well. The estimated strain by the GLM and CFM both changed from positive to negative with time, indicating that the fault plane switched from tensile to compressive. …”
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  13. 1253

    A Comparative Analysis of Data-Driven Empirical and Artificial Intelligence Models for Estimating Infiltration Rates by Mohammad Zakwan, Majid Niazkar

    Published 2021-01-01
    “…Infiltration is a vital phenomenon in the water cycle, and consequently, estimation of infiltration rate is important for many hydrologic studies. …”
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  14. 1254
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    5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques by Fawad Zaman, Ijaz Mansoor Qureshi

    Published 2014-01-01
    “…Hybrid evolutionary computational technique is developed to jointly estimate the amplitude, frequency, range, and 2D direction of arrival (elevation and azimuth angles) of near-field sources impinging on centrosymmetric cross array. …”
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  16. 1256
  17. 1257

    Channel Estimation for OFDM-Based Amplify-and-Forward Cooperative System Using Relay-Superimposed Pilots by Xianwen He, Gaoqi Dou, Jun Gao

    Published 2018-01-01
    “…For the OFDM-based Amplify-and-Forward cooperative system, a novel relay-superimposed pilot strategy is proposed, where the source pilot symbols are frequency division multiplexed to estimate the cascaded channel while relay pilot sequence is superimposed onto the top of the cooperative data stream for second-hop channel estimation. …”
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  18. 1258
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    Physics-aware machine learning for glacier ice thickness estimation: a case study for Svalbard by V. Steidl, J. L. Bamber, J. L. Bamber, X. X. Zhu, X. X. Zhu

    Published 2025-02-01
    “…<p>The ice thickness of the world's glaciers is mostly unmeasured, and physics-based models to reconstruct ice thickness cannot always deliver accurate estimates. In this study, we use deep learning paired with physical knowledge to generate ice thickness estimates for all glaciers of Spitsbergen, Barentsøya, and Edgeøya in Svalbard. …”
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  20. 1260

    Estimating Subcanopy Solar Radiation Using Point Clouds and GIS-Based Solar Radiation Models by Daniela Buchalová, Jaroslav Hofierka, Jozef Šupinský, Ján Kaňuk

    Published 2025-01-01
    “…This study explores advanced methodologies for estimating subcanopy solar radiation using LiDAR (Light Detection and Ranging)-derived point clouds and GIS (Geographic Information System)-based models, with a focus on evaluating the impact of different LiDAR data types on model performance. …”
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