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  1. 14261

    Assessment of Minimum Miscibility Pressure for CO2 Injection by an Enhanced Peng-Robinson Equation of State using Different Approaches. A Case Study for an Iraqi Oil Field by Rusul H. Rabeeah, Mohammed S. Al-Jawad

    Published 2025-07-01
    “…However, the Yelling and Metcalfe correlation gave a higher error rate than from Cell to Cell, but an acceptable rate. …”
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    Article
  2. 14262

    Machine learning approaches for forecasting inflation: empirical evidence from Sri Lanka by W.M.S Bandara, W.A.R. De Mel

    Published 2023-06-01
    “…These techniques were used to estimate the parameters and hyper-parameters for each machine learning model with the aid of root mean square error. The mean absolute percentage error (MAPE) was used to compare the performance of the different SMLMs. …”
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  3. 14263

    Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan by Min Hee Cha, Jae Hyeon Park, Ji Sun Byun, Sangyeon Ahn, Gyoomin Lee, Seung Hyun Yoon, Sung In Cho

    Published 2024-01-01
    “…With advancement in computer vision and machine learning, researchers have increasingly focused on developing automated anthropometric data extraction technique. …”
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    Article
  4. 14264

    Long-term forecast of monthly reference evapotranspiration of the period 2018-2027 using SARIMA and GRNN models (case study: Rasht synoptic station) by Pouya Aghelpoor, Vahid Varshavian, Mehraneh Khodamoradpoor

    Published 2019-12-01
    “…Other SARIMA operators, including seasonal and non-seasonal autoregressive, and average seasonal and non-seasonal moving, were selected by trial and error. Optimization of the GRNN model was accomplished by trying and error of the spread parameter. …”
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    Article
  5. 14265

    Deep Learning for Lossless Audio Compression by Ali A. Obaid, Hasan M. Kadhim

    Published 2025-04-01
    “…In this paper, the researchers exploit neural networks and artificial intelligence to compress audio signals. …”
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    Article
  6. 14266

    A Note on Increases in Inattentive Online Survey-Takers Since 2020 by John Ternovski, Lilla Orr

    Published 2022-02-01
    “…Such an unexpected increase in inattentiveness in a widely-used platform suggests that future researchers relying on online convenience survey samples should continuously assess data quality. …”
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    Article
  7. 14267

    格利森制弧齿锥齿轮的齿面曲率特性研究 by 李大伟, 苏智剑

    Published 2009-01-01
    “…As a result,the theoretical foundation for the error-correction of tooth flank based on tooth surface’s curvature map is established.…”
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  8. 14268

    Comparison of different spatial interpolation methods for historical hydrographic data of the lowermost Mississippi River by Chia-Yu Wu, Joann Mossa, Liang Mao, Mohammad Almulla

    Published 2019-04-01
    “…Those interpolators were compared in terms of root-mean-square error (RMSE), mean absolute error (MAE), bias, and coefficient of determination (r2). …”
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    Article
  9. 14269

    Image segmentation method of plastic-film corn canopy by ZHANG Wanhong, LIU Wenzhao

    Published 2017-09-01
    “…So far as the maize crop cover is concerned, current researches mainly focused on calculating percent ground cover of maize on bare ground. …”
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    Article
  10. 14270

    Listen to genes: dealing with microarray data in the frequency domain. by Jianfeng Feng, Dongyun Yi, Ritesh Krishna, Shuixia Guo, Vicky Buchanan-Wollaston

    Published 2009-01-01
    “…We also analyse three distinct gene circuits of potential interest to Arabidopsis researchers.…”
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    Article
  11. 14271

    Distribution of Returns on Currency Exchange Rates and Bitcoin Transaction Values in G7 Countries by David Umoru, Beauty Igbinovia

    Published 2024-12-01
    “…With the EGARCH-SGED model chosen as the best model, it indicates that the error distribution for return is beyond the normal distribution. …”
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    Article
  12. 14272

    Fuzzy panel data analysis by Muhammet Oguzhan Yalcin, Nevin Güler Dincer, Serdar Demir

    Published 2021-06-01
    “… In statistical and econometric researches, three types of data are mostly used as i) cross-sectional, time series and panel data. …”
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    Article
  13. 14273

    Precision‐Optimised Post‐Stroke Prognoses by Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price

    Published 2025-08-01
    “…ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known. …”
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  14. 14274

    MLRec: A Machine Learning-Based Recommendation System for High School Students Context of Bangladesh by Momotaz Begum, Mehedi Hasan Shuvo, Jia Uddin

    Published 2025-03-01
    “…Then, we compared the algorithms using criteria such as accuracy, Mean Squared Error (MSE), Root Mean Squared Error (RMSE), coefficient of determination (R<sup>2</sup>), Explained Variance (EV), and Tweedie Deviance Score (D<sup>2</sup>). …”
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  15. 14275

    Perspectives on water quality analysis emphasizing indexing, modeling, and application of artificial intelligence for comparison and trend forecasting by Rijurekha Dasgupta, Subhasish Das, Gourab Banerjee, Asis Mazumdar

    Published 2025-05-01
    “…Using statistical operations and soft computing techniques have been done by researchers to combat the subjectivity error in indexing. …”
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  16. 14276

    A General Model for Converting All-Wave Net Radiation at Instantaneous to Daily Scales Under Clear Sky by Jiakun Han, Bo Jiang, Yu Zhao, Jianghai Peng, Shaopeng Li, Hui Liang, Xiuwan Yin, Yingping Chen

    Published 2025-07-01
    “…Surface all-wave net radiation (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>n</mi></mrow></msub></mrow></semantics></math></inline-formula>) is one of the essential parameters to describe surface radiative energy balance, and it is of great significance in scientific research and practical applications. Among various acquisition approaches, the estimation of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>n</mi></mrow></msub></mrow></semantics></math></inline-formula> from satellite data is gaining more and more attention. …”
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  17. 14277

    Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

    Published 2025-01-01
    “…Precision-recall curve, accuracy, mean absolute error, F1 score and other indicators are applied to evaluate the performance of the three models. …”
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  18. 14278

    Hubungan Pacaran Terhadap Perilaku Seks Pranikah Pada Remaja Di Kecamatan Tanjung Sakti Pumi Kabupaten Lahat by Dia Islami Putri

    Published 2023-06-01
    “…Based on the Isaac & Micheal table formula with an error rate of 5%, the number of samples in this study was obtained as many as 105 teenagers in Tanjung Sakti Pumi District, Lahat Regency. …”
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  19. 14279

    Mandarin speech reconstruction from surface electromyography based on generative adversarial networks by Fengji Li, Fei Shen, Ding Ma, Jie Zhou, Li Wang, Fan Fan, Tao Liu, Xiaohong Chen, Tomoki Toda, Haijun Niu

    Published 2025-06-01
    “…Achieving effective communication for these patients is a goal pursued by researchers. This study primarily explores a method for reconstructing Mandarin speech based on voice-related neck and facial surface electromyography (sEMG). …”
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  20. 14280

    Berg Balance Scale Scoring System for Balance Evaluation by Leveraging Attention-Based Deep Learning with Wearable IMU Sensors by Zhangli Lu, Huiying Zhou, Honghao Lyu, Haiteng Wu, Shaohua Tian, Geng Yang

    Published 2025-04-01
    “…Validated with 20 healthy subjects (young and elderly) and 20 patients (PD and stroke), the system achieved a mean absolute error (MAE) of 1.1627 and root mean squared error (RMSE) of 1.5333. …”
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