Search Results - code quantitative error

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  1. 1

    Automatic Data Race Error Detection in SystemC Models by A. V. Zakharov, M. J. Moiseev

    Published 2011-12-01
    “…In this paper we propose an approach to data race detection in SystemC programs which is based on the source code static analysis. We have developed some static analysis algorithms that can extract information for data race detection in a SystemC program without quantitative time. …”
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    AutoGEEval: A Multimodal and Automated Evaluation Framework for Geospatial Code Generation on GEE with Large Language Models by Huayi Wu, Zhangxiao Shen, Shuyang Hou, Jianyuan Liang, Haoyue Jiao, Yaxian Qing, Xiaopu Zhang, Xu Li, Zhipeng Gui, Xuefeng Guan, Longgang Xiang

    Published 2025-06-01
    “…AutoGEEval supports multidimensional quantitative analysis of model outputs in terms of accuracy, resource consumption, execution efficiency, and error types. …”
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  4. 4

    HandSnap++: An Android Application for Debugging Handwritten C++ Code using Image Processing through Optical Character Recognition and Compiler by Arias, Clarq Anderson P, Miranda, Stephen Felipin S, Paguinto, Juliana Arla S, Pangkubit, Rhea Joy M

    Published 2025-03-01
    “…Paper coding, where students write C++ codes on paper during assessments, enhances logical and problem-solving skills but still has challenges, particularly in manual debugging. …”
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    Uncovering Diagnostic Correlations Between Traditional Chinese and Western Medicine Using Instrumental Variable Models in Cardiometabolic Patients: Evidence from 1.2 Million Record... by Zhou J, Zhou S, Chen H, Chen X, Zou G, Gao Y, Jing S, Bishai DM, Li J, Zhong A, Liu Z, Liu A

    Published 2025-07-01
    “…However, inconsistent coding of TCM syndromes arises due to variations in diagnostic interpretation, subjective assessment, and lack of standardized coding practices. …”
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  7. 7

    Bridge Deformation Monitoring Combining 3D Laser Scanning with Multi-Scale Algorithms by Dongmei Tan, Wenjie Li, Yu Tao, Baifeng Ji

    Published 2025-06-01
    “…The bridge deck’s micro-settlement error was ±1.2 mm, and the pier inclination error was ±2.8 mm, meeting the Chinese Highway Bridge Maintenance Code (JTG H11-2004) and the American Association of State Highway and Transportation Officials (AASHTO) standards, and the multi-scale algorithm achieved engineering-level accuracy. …”
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  8. 8

    A Discourse Analysis of Cyber Socialising Interactions in English Among Students by Tiyiselani Ndukwani, Runash Ramhurry

    Published 2024-06-01
    “…The study found that the language used on Facebook, WhatsApp and Twitter was characterised by the use of emoji, low register words, code-switching few spelling errors and the modern tendency to shorten words by using clipping and number homophones which are not seen as errors but a unique style of writing. …”
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  9. 9

    Exact Model Reduction for Continuous-Time Open Quantum Dynamics by Tommaso Grigoletto, Yukuan Tao, Francesco Ticozzi, Lorenza Viola

    Published 2025-07-01
    “…In particular, we demonstrate how our reduced models can quantitatively describe decoherence dynamics in central-spin systems coupled to structured environments, magnetization transport in boundary-driven dissipative spin chains, and unwanted error dynamics on information encoded in a noiseless quantum code.…”
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  10. 10

    Evaluation of Particle Size and Friction Coefficients in Sintered Metal Process Development by Discrete Element Simulation by Naoki Yashiro, Natsuko Sugimura, Hitoshi Washizu

    Published 2025-05-01
    “…The effects of particle size and friction coefficients of Fe-Ni-Mo steel powder on their filling behavior by a discrete element method (DEM) simulation were investigated. Our original DEM code based on FDPS (Framework for Developing Particle Simulator) was used for these simulations. …”
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    DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS by V. A. Lazarenko, A. E. Antonov

    Published 2017-12-01
    “…The training of the artificial neural network with a quantitative output coding the age of probable hospitalization made it possible to generate an array of values, signifficantly (α ≤ 0.001) not differing from the empirical data. …”
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  12. 12

    Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

    Published 2025-07-01
    “…This approach substantially lowers technical barriers for cross-disciplinary applications by converting research requirements and model logic into structured code through natural language processing. The system provides quantitative indicators and scientific foundations for optimizing elderly-oriented landscape environments in cold regions, including optimal spatial openness range (0.65 − 0.80), recommended green coverage threshold (0.82 − 0.88), and gender-specific environmental transition zone designs. …”
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  13. 13

    Integrating large language models in biostatistical workflows for clinical and translational research by Steven C. Grambow, Manisha Desai, Kevin P. Weinfurt, Christopher J. Lindsell, Michael J. Pencina, Lacey Rende, Gina-Maria Pomann

    Published 2025-01-01
    “…LLMs improved productivity in coding, writing, and literature review; however, 29 of 41 respondents (70.7%) reported significant errors, including incorrect code, statistical misinterpretations, and hallucinated functions. …”
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  14. 14

    EVALUATION OF EXPRESSION OF 4 MIRNAS IN CYTOLOGICAL SAMPLES AS AN ADDITIONAL METHOD OF CERVICAL CANCER DIAGNOSIS by P. A. Arkhangelskaya, R. B. Samsonov, T. A. Shtam, M. S. Knyazeva, M. K. Ivanov, S. E. Titov, N. N. Kolesnikov, E. V. Bakhidze, I. V. Berlev, A. А. Mikhetko, S. L. Vorobyev, A. V. Malek

    Published 2017-09-01
    “…Estimation of ratios between expression levels of miRNA pairs: 126/375; 20а/375; 126/145 allows to differentiate with high confidence borderline states of severe intraepithelial dysplasia and invasive cervical carcinoma (coefficients of quantitative interpretation of the error curve were 0.8, 0.75, 0.72, respectively).Conclusions. …”
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  15. 15

    Stakeholders’ perspectives on a digital myopia screening program in children: a qualitative analysis by Casper van der Zee, Janneau L. J. Claessens, Petra T. Rausch-Koster, Saskia M. Imhof, Ruth M. A. van Nispen, Ruth M. A. van Nispen, Robert P. L. Wisse, Robert P. L. Wisse, Hilde P. A. van der Aa, Hilde P. A. van der Aa

    Published 2025-07-01
    “…Interviews were anonymously recorded, transcribed, and coded using thematic analysis. Quantitative data was acquired from a concomitant clinical validation study.ResultsIn total, 14 interviews were conducted, of which seven were with children and their parents, four with eye care professionals, and three with policymakers. …”
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