Showing 141 - 150 results of 150 for search 'errors in variables', query time: 0.04s Refine Results
  1. 141

    Mapeo de la dinámica regional de la transparencia en aguas continentales usando productos de reflectancia MOD09GA by Ricardo Javier Moncayo-Eraso

    Published 2017-01-01
    “…El modelo de calibración encontrado muestra que existe un coeficiente de determinación que puede ser considerado como adecuado para la estimación del DS (R2 = 0.8) y los errores asociados con las observaciones también son bajos (RMSE = 0,47m). …”
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  2. 142

    MODELING AND SIMULATION OF A DUAL CHANNEL ACTIVE NOISE CONTROL SYSTEM FOR POWER TRANSFORMER USING FXLMS ALGORITHM by ADETONA SUNDAY, SALAWU RAIFU, ALABI MORUF

    Published 2021-10-01
    “…Noise reduction ratio, loudness unit full scale and mean square error were used as performance metrics. The simulation results obtained showed that the original noise emanating from the power transformer when ANC was not used was found to be 70 dB. …”
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  3. 143

    Linking citation and retraction data reveals the demographics of scientific retractions among highly cited authors. by John P A Ioannidis, Angelo Maria Pezzullo, Antonio Cristiano, Stefania Boccia, Jeroen Baas

    Published 2025-01-01
    “…Of 55,237 items in RWDB as of August 15, 2024, we excluded non-retractions, retractions clearly not due to any author error, retractions where the paper had been republished, and items not linkable to Scopus records. …”
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  4. 144

    Boosting biogas production through innovative data-driven modeling and optimization methods at NJWTP by Jingsong Duan, Guohua Cao, Guoqing Ma, Bayram Yazdani

    Published 2025-02-01
    “…The DBN-BOOA model achieved remarkable performance metrics, including a correlation coefficient (R) of 0.98, a root mean square error (RMSE) of 0.41 m³/min, and an index of agreement (IA) of 0.99, significantly outperforming the standalone DBN and DBN-OOA models. …”
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  5. 145

    Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation by Quentin Malé, Corentin J. Lapeyre, Nicolas Noiray

    Published 2025-01-01
    “…For these interpolation cases, the model approximates burning rates with low error even though the cases were not included in the training dataset. …”
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  6. 146

    Concentración de nutrientes en hojas de diferente estado de desarrollo en arándano by M. F. RIVADENEIRA

    Published 2012-01-01
    “…Es muy importante a la hora de realizar diagnóstico nutricional definir el momento y el órgano adecuado de muestreo para evitar posibles errores en la toma de decisiones. Existe poca información acerca de la composición mineral de las variedades presentes en las zonas productoras del cultivo de arándanos en Argentina. …”
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  7. 147

    Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

    Published 2025-01-01
    “…While increasing the number of input leads enhanced reconstruction accuracy and reduced variability, the improvements plateaued beyond the use of double input leads. …”
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  8. 148

    Low Complexity Unquantized Forward Stack Decoding Algorithm for Spinal Codes in Measurement While Drilling Communication by Xiaoyang Yu, Lei Liang, Ke Jiang, Tianwei Chen

    Published 2025-01-01
    “…In communication experiments using a dynamically variable optical attenuator to generate random attenuation between 0 and -30 dB, the average decoding complexity was reduced by 23.6% compared to FSD. …”
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  9. 149

    Tabla de volumen comercial para teca clonal en diferentes índices de sitio en la Zona Norte de Costa Rica by Katherine Barrantes-Madrigal, Rafael Murillo-Cruz, Carlos Ávila-Arias, William Fonseca-González, Ana Isabel Barquero-Elizondo

    Published 2021-01-01
    “…[Resultados]: Los modelos seleccionados tuvieron buenos ajustes (R2≥ 94 %), bajos errores de estimación (≤ 3 %), muy prácticos por usar solo el diámetro normal (DAP) como variable predictora. …”
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  10. 150

    Accurate space-based NO<sub><i>x</i></sub> emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes by F. Cifuentes, F. Cifuentes, H. Eskes, E. Dammers, E. Dammers, C. Bryan, F. Boersma, F. Boersma

    Published 2025-02-01
    “…The FDA systematically overestimates <span class="inline-formula">NO<sub><i>x</i></sub></span> emissions by 15 %–60 % when using tropospheric <span class="inline-formula">NO<sub>2</sub></span> columns as the driving observation, while using PBL <span class="inline-formula">NO<sub>2</sub></span> columns largely overcomes this systematic error. This merely reflects the fact that the local balance between emissions and sinks of <span class="inline-formula">NO<sub><i>x</i></sub></span> occurs in the boundary layer, which is decoupled from the <span class="inline-formula">NO<sub>2</sub></span> in the free troposphere. …”
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