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  1. 8441

    Investigating the Pavement Vibration Response for Roadway Service Condition Evaluation by Zhoujing Ye, Yang Lu, Linbing Wang

    Published 2018-01-01
    “…Dynamic response of pavement provides service condition information and helps with damage prediction, while limited research is available with the simulation of pavement vibration response for evaluating roadway service condition. …”
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    Article
  2. 8442

    Stochastic process-based drought monitoring and assessment system: A temporal switched weights approach for accurate and precise drought determination. by Muhammad Asif Khan, Sergey Barykin, Dmitry Karpov, Nikita Lukashevich, Akram Ochilov, Rizwan Munir

    Published 2025-01-01
    “…Effective drought mitigation policies necessitate the monitoring and prediction of drought. To determine the severity and impacts of droughts accurately and precisely, probabilistic models have been developed. …”
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    Article
  3. 8443

    Crack propagation in fracture mechanical graded structures by B. Schramm, H.A. Richard

    Published 2015-09-01
    “…In this context, the developed TSSR-concept is presented which allows the prediction of crack propagation in fracture mechanical graded structures considering the loading situation (Mode I, Mode II and plane Mixed Mode) and the material gradation. …”
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    Article
  4. 8444

    Minimizing Zapping Delay Using Adaptive Channel Switching with Personalized Electronic Program Guide by Timothy T. Adeliyi, Oludayo O. Olugbara, Steven Parbanath

    Published 2021-01-01
    “…Many of the literature approaches such as channel prediction based on behavior analysis have shown flaws in resolving zapping delay. …”
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    Article
  5. 8445

    Research on credit risk of listed companies: a hybrid model based on TCN and DilateFormer by Chuanhe Shen, Junzhe Wu

    Published 2025-01-01
    “…The empirical study demonstrates that the model exhibits superior prediction accuracy compared to traditional machine learning assessment models, thereby offering a novel and efficacious tool for corporate credit risk assessment.…”
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    Article
  6. 8446

    Clinical Presentation of Preeclampsia and the Diagnostic Value of Proteins and Their Methylation Products as Biomarkers in Pregnant Women with Preeclampsia and Their Newborns by Maria Portelli, Byron Baron

    Published 2018-01-01
    “…So far, a number of biomarkers have been proposed for predicting PE, based on pathophysiological observations, but these have mostly proven to be unreliable and inconsistent between different studies. …”
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    Article
  7. 8447

    Analysis on the Influence Factors of Bulk Temperature of the Meshing Gear of a Nutation Drive with a Double Circular-arc Spiral Bevel Gear by Chen Ying, Yao Ligang, Wang Xingsheng, Zhang Dawei, Wang Xueying

    Published 2024-02-01
    “…The meshing temperature affects the fatigue, vibration, noise and other behaviors in the nutation transmission process of the double circular-arc spiral bevel gear, which cannot be ignored in the life prediction and mechanical response of the double circular-arc spiral bevel gear. …”
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    Article
  8. 8448

    Influence of copper content on microstructure development of AlSi9Cu3 alloy by Brodarac Zovko Z., Dolić N., Unkić F.

    Published 2014-01-01
    “…Literature review enables prediction of solidification sequence. Modelling of equilibrium phase diagram for examined chemical composition has been performed, which enables determination of equilibrium solidification sequence. …”
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    Article
  9. 8449

    Epitope mapping of recombinant Salmonella enterica serotype Heidelberg flagellar hook-associated protein by in silico and in vivo approaches by Hung-Yueh Yeh

    Published 2025-02-01
    “…The aim of the present study was to compare the epitope identification in the Salmonella enterica serotype Heidelberg FlgK protein by in silico prediction and in vivo experiment with mass spectrometry in association with immunoprecipitation proteomics. …”
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    Article
  10. 8450

    Remaining Useful Life Estimation of Fan Slewing Bearings in Nonlinear Wiener Process with Random Covariate Effect by Mingjun Liu, Zengshou Dong, Hui Shi, Yujia Zheng, Min Zhang

    Published 2022-01-01
    “…A nonlinear Wiener degradation model considering the influence of random covariate is established for the prediction of the RUL of fan slewing bearings in this study. …”
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    Article
  11. 8451

    Wind Identification of Spinning Projectile Using Improved Multiobjective Differential Evolution Algorithm by Dingye Zhang, Jun Guan, Wenjun Yi, Youran Xia, Kangjian Wang

    Published 2022-01-01
    “…A wind velocity identification technique of spinning projectile based on the multiobjective chaotic adaptive differential evolution algorithm is suggested to increase the estimation accuracy of wind velocity and ballistic prediction accuracy during projectile flight. The variation law of projectile aerodynamic characteristics under no wind situation is calculated using the 4D kinematic model of spinning projectile. …”
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    Article
  12. 8452

    Dynamic Model of Spur Gear Pair with Modulation Internal Excitation by Zhong Wang, Lei Zhang, Yuan-Qing Luo, Chang-Zheng Chen

    Published 2017-01-01
    “…In this study, a nonlinear time-varying dynamic model of spur gear pair was established to predict the modulation sidebands caused by the AM-FM modulation internal excitation. …”
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    Article
  13. 8453

    Enabling Super-Resolution for Automotive Imaging Radars in the Presence of Antenna Calibration Errors by Ionela-Cristina Voicu, Filip Rosu

    Published 2025-01-01
    “…In this paper we address the issues faced when applying such algorithms in a radar application and offer a solution based on linear prediction and spatial smoothing to enhance the performance of such algorithms.…”
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    Article
  14. 8454

    History in the making: Voicing alternation as stop lenition via an automatic analysis of large-scale corpora in French and Spanish by Yaru Wu, Ioana Chitoran, Ioana Vasilescu, Martine Adda-Decker, Lori Lamel

    Published 2025-01-01
    “…The voicing nature of the stops (whether the stop is phonologically voiceless /ptk/ or voiced /bdg/) turns out to be the factor that contributes the most to the prediction of voicing alternations among all investigated factors for Spanish, according to the random forest model. …”
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    Article
  15. 8455

    A Modified Strain‐Wedge Model for Small Strain Rigid Piles in Sand by Yisheng Yin, Dongyuan Wang, Kai Cui

    Published 2025-01-01
    “…On the contrary, the prediction accuracy of numerical analysis using the UBC3D‐PLM constitutive model increases.…”
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    Article
  16. 8456

    A Quality Control Method Based on an Improved Kernel Regression Algorithm for Surface Air Temperature Observations by Xiaoling Ye, Yajin Kan, Xiong Xiong, Yingchao Zhang, Xin Chen

    Published 2020-01-01
    “…Furthermore, the IKR method achieves better predictions and fitting in the single-station and multistation regression experiments in Jiangsu and in the national multistation regression prediction experiment.…”
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    Article
  17. 8457

    Age-dependent decline in sperm quality and function in a naturally short-lived vertebrate by Silvia Cattelan, Dario Riccardo Valenzano

    Published 2025-01-01
    “…Abstract Maximizing the life-long reproductive output would lead to the prediction that short-lived and fast aging species would undergo no – if any – reproductive senescence. …”
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  18. 8458

    KEY ASPECTS OF CORPORATE FINANCIAL SOUNDNESS by Y. D. Sotneva

    Published 2015-08-01
    “…With increasing role of transnational corporation (TNC) questions of corporate financial soundness analysis and prediction methods are gaining momentum. This article highlights the key aspects of financial soundness of corporations. …”
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    Article
  19. 8459

    Longtime behavior of one-dimensional biofilm models with shear dependent detachment rates by Fazal Abbas, Rangarajan Sudarsan, Hermann J. Eberl

    Published 2012-02-01
    “…We find that the particular choice of a detachment rate function can affect the model prediction of persistence or washout of the biofilm. …”
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    Article
  20. 8460

    Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm by Xiaoyu Zhang, Jiusheng Chen, Quan Gan

    Published 2017-01-01
    “…In this paper, an improved kernel principal component analysis (KPCA) method is proposed to search for signatures of anomalies in flight datasets through the squared prediction error statistics, in which the number of principal components and the confidence for the confidence limit are automatically determined by OpenMP-based K-fold cross-validation algorithm and the parameter in the radial basis function (RBF) is optimized by GPU-based kernel learning method. …”
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    Article