Search alternatives:
errors » error (Expand Search)
Showing 8,401 - 8,420 results of 8,656 for search 'application errors', query time: 0.19s Refine Results
  1. 8401

    Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems by Changzhi Yang, Linyu Wei, Xi Huang, Lili Tu, Yanjia Xu, Xiaolong Li, Zhe Hu

    Published 2025-05-01
    “…Abstract Markerless motion capture (ML) systems, which utilize deep learning algorithms, have significantly expanded the applications of biomechanical analysis. Jump tests are now essential tools for athlete monitoring and injury prevention. …”
    Get full text
    Article
  2. 8402

    Psychometric testing of the Persian version of the nurse caring behavior scale by Mojtaba Jafari, Reza Ghanei Gheshlagh, Abbas Ebadi, Asra Nassehi, Alessandro Sili, Michela Piredda

    Published 2025-07-01
    “…Conclusion The Persian version of NCBS can effectively evaluate care behaviors with strong psychometric properties and is applicable in quality audits, practice development, nursing education, and related research.…”
    Get full text
    Article
  3. 8403

    Evaluation of the Possibility of Calculating LD50 and LD10 Using a Modified Script in the R Environment by P. V. Shadrin

    Published 2025-05-01
    “…The experimental data demonstrate the applicability of the MS for testing medicines. In some cases presented in the article, the custom R script offers an advantage over the current pharmacopoeial method. …”
    Get full text
    Article
  4. 8404

    LLM4TDG: test-driven generation of large language models based on enhanced constraint reasoning by Jingqiang Liu, Ruigang Liang, Xiaoxi Zhu, Yue Zhang, Yuling Liu, Qixu Liu

    Published 2025-05-01
    “…The metric surpasses the state-of-the-art GPT-4, with a performance of 92.16% on HUMANEVAL and 87.14% on HUMANEVAL+, which enhances the error correction and functional correctness in test-driven code generation. …”
    Get full text
    Article
  5. 8405

    Effective Machine Learning Techniques for Dealing with Poor Credit Data by Dumisani Selby Nkambule, Bhekisipho Twala, Jan Harm Christiaan Pretorius

    Published 2024-10-01
    “…Additionally, the average error rate for these classifiers is over 9%, which implies that the estimates are not far from the actual values. …”
    Get full text
    Article
  6. 8406

    GC-Like LDPC Code Construction and its NN-Aided Decoder Implementation by Yu-Lun Hsu, Li-Wei Liu, Yen-Chin Liao, Hsie-Chia Chang

    Published 2024-01-01
    “…To demonstrate the capability of the NN-aided vwMS algorithm with the fast-convergent shuffled scheduling method, a GC-like (9126,8197) LDPC decoder is implemented for NAND flash applications, achieving a 6.56 Gbps throughput with a core area of <inline-formula> <tex-math notation="LaTeX">$0.58~mm^{2}$ </tex-math></inline-formula> under the 40-nm CMOS TSMC process, and average power consumption of 288 mW under the frame error rate of <inline-formula> <tex-math notation="LaTeX">$2.64 \times 10^{-5}$ </tex-math></inline-formula> at 4.5dB. …”
    Get full text
    Article
  7. 8407

    Analysis and Optimization Design of Internal Flow Evolution of Large Centrifugal Fans Under Inlet Distortion Effects by Shuiqing Zhou, Tianci Wang, Zijian Mao, Laifa Lu

    Published 2025-03-01
    “…The corrected SST k-ω model shows a maximum error of only 4.7%. Simulation results show that the fan inlet generates a positive pre-swirl inflow with a relative distortion intensity of 3.83°. …”
    Get full text
    Article
  8. 8408

    Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer by Saihao Ren, Xiaoping Lou

    Published 2025-03-01
    “…These findings highlight the effectiveness of the SWT and ResCAA-ViT-based approach in addressing complex variations in operating conditions, demonstrating its significant practical applicability.…”
    Get full text
    Article
  9. 8409

    Design of an Iterative AI-Driven Latency Prediction and QoS-Aware Task Scheduling in Mobile Edge Computing: A Federated and Reinforcement Learning Process by Sharma Garima, Khare Rashi, Kulkarni Neha, Pagare Sanjay, Tiwari Vanshika

    Published 2025-01-01
    “…The tremendous upsurge of latency-sensitive applications in Mobile Edge Computing (MEC), thus requiring an efficient task scheduler depending on precise and adaptive latency prediction. …”
    Get full text
    Article
  10. 8410

    Dry Friction Behavior of Stainless Steel Kinematic Pair of Spent Fuel Shearing Machine under Thermal-mechanical Coupling by YANG He1, DONG Jianpeng2, , GAO Feng1, GAO Shan1, TAN Aoshuang2

    Published 2025-02-01
    “…Compared with the experimental results, the maximum wear prediction error is 9.34%, which verifies the effectiveness of the established model. …”
    Article
  11. 8411

    Deep learning super-resolution for temperature data downscaling: a comprehensive study using residual networks by Shailesh Kumar Jha, Vivek Gupta, Priyank J. Sharma, Anurag Mishra, Saksham Joshi

    Published 2025-05-01
    “…This approach holds promise for future applications in downscaling other atmospheric variables.…”
    Get full text
    Article
  12. 8412

    Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS) by Ray L. Khuboni, Hongjun Xu

    Published 2025-01-01
    “…These results establish OPM-MVS as a promising solution for high-resolution and large-scale multi-view stereo applications.…”
    Get full text
    Article
  13. 8413

    Interactive influence of basalt fibres and pozzolanic additives on the mechanical and microstructural properties of self-compacting concrete by Olive Sharon R P, SenthilPandian M

    Published 2025-07-01
    “…RSM validated all the experimental results with a mean error of less than 4 %, confirming the reliability of the findings. …”
    Get full text
    Article
  14. 8414
  15. 8415

    Aligning Evapotranspiration from MOD16A2.061 Product to Ground Estimates in Piemonte (NW Italy): an analysis of temporal and spatial biases by E. Ronco, E. C. Borgogno Mondino

    Published 2025-05-01
    “…The corrected dataset (<em>&Ecirc;T</em><sub>0</sub>) shows significantly improved agreement with ground-based ET<sub>0</sub>, reducing the Mean Absolute Error from 10.06 mm/8 d to 2.48 mm/8 d, a 75% improvement. …”
    Get full text
    Article
  16. 8416

    Translation and Validation of the Premenstrual Assessment Form-Short Form Questionnaire in Hungarian by Olívia Dózsa-Juhász, Alexandra Makai, Viktória Prémusz, Pongrác Ács, Márta Hock

    Published 2024-04-01
    “…During the CFA, the three-factor structure (Affect, Water Retention, and Pain) was supported (root mean-square error approximation [RMSEA] = 0.054; Tucker–Lewis Index = 0.965; Comparative Fit Index = 0.976; χ2 = 48.642; df = 31; p = 0.023; χ2/df = 1.569). …”
    Get full text
    Article
  17. 8417

    A New Method for Determining the Sampling Volume and the Number of Particles Within It for Particle Concentration Identification in Defocused Interferometric Particle Imaging by Hongxia Zhang, Ye Zhou, Jing Liu, Dagong Jia, Tiegen Liu

    Published 2017-01-01
    “…This method for identifying particle concentration is expected to be applicable to various areas wherein particle analysis is to be rendered by defocused IPI.…”
    Get full text
    Article
  18. 8418

    Silicon Photonics for Inter&#x002F;Intra-Chip Wireless Communication Using RF On-Chip Antennas by Ajaypal Singh Dhillon, Frederick Melanson, Odile Liboiron-Ladouceur

    Published 2024-01-01
    “…The intra-chip RF data transmission has been confirmed with bit- error-rate (BER) measurements of below 10<sup>&#x2212;9</sup> up to a data rate of 4 Gbps. …”
    Get full text
    Article
  19. 8419

    A Comparative Study of Downscaling Methods for Groundwater Based on GRACE Data Using RFR and GWR Models in Jiangsu Province, China by Rihui Yang, Yuqing Zhong, Xiaoxiang Zhang, Aizemaitijiang Maimaitituersun, Xiaohan Ju

    Published 2025-01-01
    “…Currently, observations of groundwater storage changes in Jiangsu Province face issues such as low spatial resolution, limited applicability of the downscaling models, and insufficient water resource observation data. …”
    Get full text
    Article
  20. 8420

    Fast Hadamard-Encoded 7T Spectroscopic Imaging of Human Brain by Chan Hong Moon, Frank S. Lieberman, Hoby P. Hetherington, Jullie W. Pan

    Published 2025-01-01
    “…<b>Background/Objectives</b>: The increased SNR available at 7T combined with fast readout trajectories enables accelerated spectroscopic imaging acquisitions for clinical applications. In this report, we evaluate the performance of a Hadamard slice encoding strategy with a 2D rosette trajectory for multi-slice fast spectroscopic imaging at 7T. …”
    Get full text
    Article