Showing 11,341 - 11,360 results of 14,501 for search 'research (errors OR error)', query time: 0.28s Refine Results
  1. 11341
  2. 11342
  3. 11343
  4. 11344

    GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

    Published 2025-06-01
    “…Traditional methods for diagnosing AD, while still in use, often involve time-consuming processes that are prone to errors and inefficiencies. These manual techniques are limited in their ability to handle the vast amount of data associated with the disease, leading to slower diagnosis and potential misclassification. …”
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  5. 11345

    EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

    Published 2018-06-01
    “…Objects and methods of the research. Fifty patients with hypertrophic scars of face were examined. …”
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  6. 11346
  7. 11347

    Progression of sacroiliitis in men and women according to the cohort of early axial spondyloarthritis (CORSAR) over 3 years of follow-up by D. G. Timokhina, T. V. Dubinina, A. B. Demina, O. A. Krichevskaya, Sh. F. Erdes

    Published 2021-12-01
    “…In order to fully exclude the error in measuring the radiographic progression of SI, we counted patients with “net” progression, that is, the proportion of patients with improvement was subtracted from the proportion of patients with deterioration.Results. …”
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  8. 11348
  9. 11349

    Quality Indicators of Agaricus bisporus after Ultraviolet Treatment by Vladimir V. Kondratenko, Natalia E. Posokina, Natalia I. Fedyanina, Olga V. Karastoyanova, Nadezhda V. Korovkina

    Published 2022-12-01
    “…It inhibits the changes in the quality indicators of raw materials that are responsible for storage capacity. The research objective was to establish qualitative indicators for champignons (Agaricus bisporus) after ultraviolet treatment. …”
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  10. 11350
  11. 11351

    Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT by Nils Hentati Isacsson, Kirsten Zantvoort, Erik Forsell, Magnus Boman, Viktor Kaldo

    Published 2024-12-01
    “…Results: The models had a 14 %–12 % root mean squared error (RMSE) in predicting the post-treatment outcome, corresponding to a balanced accuracy of 67–74 %. …”
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  12. 11352
  13. 11353
  14. 11354

    Adaptation of the process‐based CSM‐CROPGRO model to simulate the growth and development of industrial hemp for seed and fiber production by Alwin Hopf, Kenneth J. Boote, Yogendra Upadhyaya, Hardeep Singh, Michael J. Mulvaney, Navdeep Kaur, Lakesh K. Sharma, Zachary Brym, Jonathan A. Watson, Gerrit Hoogenboom

    Published 2025-06-01
    “…The results show a good simulation of aboveground biomass (d = 0.91, root mean square error [RMSE] = 482 kg ha−1), stem weight (d = 0.83, RMSE = 430 kg ha−1), and time to flowering (+4 to −5 days), capturing the differences among cultivars and planting dates. …”
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  15. 11355

    Electricity Demand Prediction by a Transformer-Based Model by Ahmed Mohammed Mahmood, Musaddak Maher Abdul Zahra, Waleed Hamed, Bashar S. Bashar, Alaa Hussein Abdulaal, Taif Alawsi, Ali Hussein Adhab

    Published 2022-12-01
    “…According to the conducted experiments, our approach claims competitive performance, achieving an error rate of 2.0 in predicting 1-day-ahead of electricity demand in the test samples.…”
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  16. 11356

    3D-printed prosthetic foot design: Mechanical similarity and testing by Ana María Gómez-Amador, Carlos Pérez-Carrera, Leopoldo Prieto-Fernández, Higinio Rubio-Alonso

    Published 2025-05-01
    “…The methodology was validated for predicting full-scale performance accurately through the testing of smaller-scale prototypes to failure, which preserved the force-to-displacement ratio across scales and achieved a relative error of 3.6%. The prosthesis was found to meet the mechanical requirements of UNE-EN ISO 10328:2016 through static strength testing. …”
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  17. 11357

    Fertility decline and economic growth challenges: Japan's struggle amid a demographic crisis by Hamira Hamira, Dirta Pratama Atiyatna, Feny Marissa, Dwi Darma Puspita Sari, Khairunnas Khairunnas

    Published 2025-04-01
    “…Using quantitative time-series data and the Vector Error Correction Model (VECM), this research evaluates the short- and long-term effects of these variables on economic growth. …”
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  18. 11358

    NOX Numerical Simulation of Pulverized Coal Fired Boiler by L Wei, GAO Wenxue, YANG Weiguo, WU Weifeng, LI Ruiyang

    Published 2020-08-01
    “…Our country pays more and more attention to the control of NOX emission In view of this problem, the pulverized coal furnace of a thermal power company is taken as the research object Firstly, the data acquisition of the test points of the Thermotics Inc boilers under full load operation parameters is carried out, and obtains the oxygen content and temperature distribution of the test points Secondly, numerical simulation of temperature field and O2 concentration field is carried out by using Fluent software under the same parameters The actual value of the measuring point is compared with the simulated value Comparing the actual value with the simulated value of the measured points, the result shows that the error between the experimental value and the simulated value is less than 16%, and the overall trend of the two is the same The correctness of all steps in the whole numerical simulation process is verified Finally, the distribution of NOX in the furnace is studied The results show that the concentration of NOX is higher in the main combustion area above the burner, but lower in the low temperature area, which provides a theoretical basis for subsequent denitrification…”
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  19. 11359

    Quantitative Method for Ultrasonic Testing of Lead Seal Defects in High Voltage Cable Accessories by Zheng Hai, Cai Qiushen, Zheng Jishi, Zhen Zhiming, Zou Wei, Chen Jianping

    Published 2025-01-01
    “…The findings reveal significant improvements over the traditional −6dB method: a 5% reduction in distance error, a 10% enhancement in defect size accuracy, and an overall accuracy rate exceeding 85%. …”
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  20. 11360