Showing 11,041 - 11,060 results of 14,501 for search 'research (errors OR error)', query time: 0.21s Refine Results
  1. 11041
  2. 11042
  3. 11043

    Optimization of the Inorganic Salts in Coenzyme Q<sub>10</sub> Fermentation Medium of <i>Rhodobacter sphaeroides</i> Based on Uniform Design and Artificial Neural Network and Genet... by Yi Zheng, Yujun Xiao, Shuling Tang, Junpeng Li, Yingzi Wu, Yong Zhou

    Published 2025-07-01
    “…Compared to UD, the optimization results of ANN-GA had a smaller relative error (ANN-GA 1.23%; UD 3.01%) and a higher increase rate in the fermentation level of CoQ<sub>10</sub> (ANN-GA 4.1%; UD 2.04%). …”
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  4. 11044

    Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

    Published 2025-03-01
    “…One of the key findings of this study is that even with a 10 m spatial resolution, reliable water level inferences can be made using water surface area as a proxy. The mean absolute error values obtained validate the model’s capability to monitor water level fluctuations with a satisfactory degree of accuracy. …”
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  5. 11045
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  7. 11047

    Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting by Junchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, Fazirulhisyam Hashim, Mohd Zainal Abidin Ab Kadir

    Published 2025-01-01
    “…Specifically, the DRN model using Swish achieved the best results on the ISO-NE dataset (Mean Absolute Percentage Error, MAPE = 1.3806%), while the DRN model with Hyperbolic Tangent (Tanh) excelled on the Malaysia dataset (MAPE = 4.9809%). …”
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  8. 11048
  9. 11049

    Survey on positioning technology based on signal of opportunity from low earth orbit by Jiawei He, Jiawei He, Shaojie Ni, Shaojie Ni, Honglei Lin, Honglei Lin, Zhe Liu, Zhe Liu, Zhibin Xiao, Zhibin Xiao

    Published 2025-05-01
    “…This paper begins by introducing the principle of Doppler location and analyzing its error sources. It then discusses in detail the methods of observation extraction, including cognitive-based and blind-based methods. …”
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  10. 11050
  11. 11051

    Simulation of urban flooding using 3D computational fluid dynamics with turbulence model by Muhammad Waqar Saleem, Muhammad Rashid, Sajjad Haider, Mohiq Khalid, Amro Elfeki

    Published 2025-03-01
    “…Sensitivity Analysis (SA) indicated that increasing grid coarseness from 1.7 million to 0.1 million cells raised the Root Mean Square Error (RMSE) by 15 %. This Research also assessed different mesh treatments for building incorporation in the computational mesh-building hole (BH) and Building Block (BB). …”
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  12. 11052
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  16. 11056

    Assessing seasonal forecast performance to predict crop irrigation requirements to support water management decision-making in the Mediterranean region by Daniel Garcia, João Rolim, Maria do Rosário Cameira, Gilles Belaud, Nicolas R. Dalezios, George Karoutsos, João A. Santos, Paula Paredes

    Published 2025-05-01
    “…Overall, the forecasts were more accurate in predicting climatic demand (ETo) than precipitation, with mean absolute errors (MAE) of 17.0–170.3 mm and 94.8–438.6 mm, respectively. …”
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  17. 11057
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  19. 11059

    Strengthening of Deficient Steel Sections using CFRP Composite under Combined Loading by Amir Hamzeh Keykha

    Published 2020-11-01
    “…The deficiency in steel members may be due to errors caused by construction, fatigue cracking, and other reasons. …”
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  20. 11060