Showing 621 - 640 results of 6,713 for search 'error data analysis', query time: 0.19s Refine Results
  1. 621

    FOREIGN EXCHANGE RATE PREDICTION OF INDONESIA'S LARGEST TRADING PARTNER BASED ON VECTOR ERROR CORRECTION MODEL by M. Fariz Fadillah Mardianto, Muhammad Fikry Al Farizi, Made Riyo Ary Permana, Alfian Iqbal Zah, Elly Pusporani

    Published 2024-08-01
    “…The data used in this study is secondary data obtained from the investing.com webpage, comprising weekly data from January 2021 to November 2023. …”
    Get full text
    Article
  2. 622

    Quantifying Rotation-Induced Errors in Near-Field Seismic Recordings: Assessing Impact on Rotation and Acceleration Measurements. by Yara Rossi, Felix Bernauer, Chin-Jen Lin, Frédéric Guattari, Baptiste Pinot

    Published 2025-06-01
    “… Understanding the full wave field is imperative for seismic data analysis, as the different components induce errors in the sensors. …”
    Get full text
    Article
  3. 623

    Optimization of Machining Parameters for Reducing Drum Shape Error Phenomenon in Wire Electrical Discharge Machining Processes by Shih-Ming Wang, Li-Jen Hsu, Hariyanto Gunawan, Ren-Qi Tu

    Published 2024-12-01
    “…This study employed experimental analysis to investigate the effect of individual parameters on the shape error and machining removal rate (MRR). …”
    Get full text
    Article
  4. 624

    Public Perception of Medical Errors and Confusion About Medical Complications: Implications for Healthcare Safety in Saudi Arabia by Alhewiti A

    Published 2025-04-01
    “…The collected data included demographics, participants’ knowledge, experiences, and perceptions of medical errors, and the accuracy in distinguishing errors from complications. …”
    Get full text
    Article
  5. 625

    Building Arabic Speech Recognition System Using HuBERT Model and Studying the Sources of Errors [Arabic] by Rima Sbih, Assef Jafar, Ali Kazem

    Published 2025-01-01
    “…The system was built using the HuBERT model, and resulted in a word error rate (WER) of 19.3%. Our study on different data sets revealed that the HuBERT-based system has a significant ability to generalize to different spoken dialects. …”
    Get full text
    Article
  6. 626

    Geometric errors identification of the machine tool rotary axes considering R-test theoretical model constraints by Hongxu Chen, Xiaobing Hu, Yan Liu, Feng Tan, Qihao Liao

    Published 2025-04-01
    “…This study not only presented a theoretical analysis method in addition to least squares identification but also providing a novel approach for identifying geometric errors in the machine tool’s rotary axes. …”
    Get full text
    Article
  7. 627

    Effectiveness of Nursing Educational Program upon the Nurses Practices Concerning Electrocardiographic Procedural Errors in Missan Governorate by Hakema Shaker Hassan, Aqeel Azeez Arrar Nasser

    Published 2014-04-01
    “…Reliability of instrument was determined through the use of test and retest and the instrument validity was determined through a panel of experts. The analysis of the data was used descriptive statistics (frequencies, percentages, weighted and the arithmetic mean and standard deviation) and statistical inferential (sufficiently relative test, Fisher test, chi square and Levin test) In order to find the differences between the study group and the control group Results: The study findings indicated that there were highly significant differences between pre and post tests in the study group in overall main domains related to nurses' practice Conclusion: The study concluded that the effectiveness of educational program regarding nurses' practice concerning the electrocardiographic procedural errors is a positive and clear. …”
    Get full text
    Article
  8. 628

    Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning. by Huu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, Masanobu Kano, Keisuke Toyama, Kazuo Kitamura, Mitsuo Kawato

    Published 2025-03-01
    “…This method enabled the calculation of reinforcement learning variables, such as reward, predicted reward, and reward-prediction errors in each learning trial. Through tensor component analysis of two-photon Ca2+ imaging data from more than 6,000 Purkinje cells, we found that climbing fiber inputs of the two distinct components, which were specifically activated during Go and No-go cues in the learning process, showed an inverse relationship with predictive reward-prediction errors. …”
    Get full text
    Article
  9. 629
  10. 630

    Assessment of procedural errors and student satisfaction in preclinical root canal treatment: a cross-sectional study by Sanaa Aljamani, Sereen Al-Sawaeir, Rahaf Nassar, Khetam Rawajbeh, Amal Saeed, Noor H. Ismail, Samiha Yousef Sartawi, Laith Abu Qdais

    Published 2025-07-01
    “…Undergraduate students learn RCT in preclinical and clinical settings, where procedural errors may occur and affect treatment quality. Such errors can also influence students’ confidence and satisfaction with their performance. …”
    Get full text
    Article
  11. 631

    Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients by Xu-Hao Chen, Ying Hong, Xiang-Han Ke, Si-Jia Song, Yu-Jie Cen, Chun Zhang

    Published 2025-01-01
    “…METHODS: The prospective study included patients who had undergone cataract surgery performed by a single surgeon from June 2020 to April 2022. The collected data included the best-corrected visual acuity (BCVA), corneal curvature, preoperative and postoperative central anterior chamber depths (ACD), axial length (AXL), IOL power, and refractive error. …”
    Get full text
    Article
  12. 632
  13. 633

    Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy by Mahadee Al Mobin

    Published 2025-05-01
    “…Comparative analysis reveals that downscaling provided a $$28.5\%$$ 28.5 % improvement in accuracy and an $$89.3\%$$ 89.3 % reduction in mean absolute percentage error (MAPE) over non-downscaled data which has been proven to be statistically significant using the Wilcoxon signed rank test, illustrating the substantial advantages of employing downscaling for effective DENV forecasting. …”
    Get full text
    Article
  14. 634

    The Multidimensional Effect of Financial Development on Total Factor Productivity: Evidence from Cross-country Panel Data by Çağatay Vişne, Ramazan Ekinci

    Published 2025-06-01
    “…In this paper, we estimate the impact of financial development on total factor productivity (TFP) using panel data for the years 2002 to 2019. Using the Driscoll-Kraay Standard Error (DKSE) approach, we analyse how financial development and its sub-indices (financial institutions and financial markets) are related to TFP. …”
    Get full text
    Article
  15. 635

    Performance Analysis of a Spectral-Efficient High-Speed Hybrid PDM-MDM Enabled Integrated MMF-FSO Transmission by Somia A. Abd El-Mottaleb, Mehtab Singh, Hassan Yousif Ahmed, Median Zeghid, Kottakkaran Sooppy Nisar

    Published 2023-01-01
    “…Two polarization states are used, each of these states carries four different Hermite Gaussian (HG) modes while each HG modes carries 10 Gbps data. Performance analysis is investigated by considering fixed length of MMF cable and varying FSOC range in absence and presence of different atmospheric turbulences (weak turbulence (WT) and strong turbulence (ST)). …”
    Get full text
    Article
  16. 636
  17. 637
  18. 638

    Multilingual competency and academic performance: a machine learning-based analysis of the 2022/2023 Somaliland national primary exam data by Jibril Abdikadir Ali, Mustafe Khadar Abdi, Tawakal Abdi Ali, Abdisalan Hassan Muse, Mukhtar Abdi Omar, Mukhtaar Axmed Cumar

    Published 2025-06-01
    “…The analysis revealed demographic imbalances, with data predominantly from urban (90.8%) and private school (57.3%) students. …”
    Get full text
    Article
  19. 639

    Credit rating prediction with ESG data using data mining methods by Murat Doğan, Muhammed Aslam Chelery Komath, Özlem Sayilir

    Published 2025-04-01
    “…Considering the theoretical importance of corporate sustainability performance in the credit rating process, we aimed to develop a data mining model to predict the credit rating of companies, by incorporating ESG data to traditional accounting and financial measures with a sample of 6622 firms. …”
    Get full text
    Article
  20. 640