Showing 81 - 100 results of 179 for search 'K. Berney~', query time: 3.57s Refine Results
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    BIOFUEL: ALTERNATIVE FOR APPLICATIONS IN OXI-COMBUSTION THERMAL PROCESSES by Lucian Paunescu, Gheorghe Surugiu, Eniko Volceanov

    Published 2024-12-01
    “…Keeping the heat power of the burner at 60 kW, the glycerin and ethanol flows were adopted at 10 and 1.11 kg·h-1, i.e. a mass ratio of 9.0 than 8.1 used in the previous experiment. …”
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    Identities involving iterated integral transforms by Cyril Nasim

    Published 1983-01-01
    “…A number of identities involving iterated integral transforms are established, making use of the fact that a function which is a linear combination of the Macdonald's function Kν(z), where z is a complex variable, is a Fourier kernel.…”
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  8. 88

    On almost sure convergence rates for the kernel estimator of a covariance operator under negative association by Hadi Jabbari

    Published 2024-08-01
    “…The aim of this paper is to estimate the distribution of $(X_1,X_{k+1})$ for $k\in I\!\!N_0$ using kernel type estimators. …”
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    IMPROVING THE TECHNOLOGY OF EXTRA VIRGIN PEACH KERNEL OILS by Ye. Kotliar, B. Iegorov, N. Dets, D. Skrypnichenko, L. Lanzhenko

    Published 2024-05-01
    “…The peach kernels were characterised and it was found that the oil content in the seeds of the studied peach kernels was 33–38%. …”
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    RELIABILITY ASSESSMENT MODELING FOR PERFORMANCE DEGRADATION DATA BASED ON DATA-DRIVEN METHOD by LI Jiang, WU HeCheng

    Published 2021-01-01
    “…The K-S test proves that the model is stable and superior to the parameter method based on the case data, and it is not easy to be aggressive. …”
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  14. 94

    Wind Speed Probability Distribution Based on Adaptive Bandwidth Kernel Density Estimation Model for Wind Farm Application by Tin Trung Chau, Thu Thi Hoai Nguyen, Linh Nguyen, Ton Duc Do

    Published 2025-02-01
    “…The study highlights that the adaptive bandwidth kernel density estimation (AKDE) distribution model based on the nearest neighbor estimation (NNE) has superior goodness of fit performance. …”
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  15. 95

    Robust and Sparse Kernel-Free Quadratic Surface LSR via L<sub>2,p</sub>-Norm With Feature Selection for Multi-Class Image Classification by Yongqi Zhu, Zhixia Yang, Junyou Ye, Yongxing Hu

    Published 2025-01-01
    “…This model utilizes K quadratic surfaces mapping samples from the input space to the label space, preserving the local structure of the samples. …”
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  16. 96

    Introduction and studying of the species polymorphism in the almond genetic diversity preserved at Krymsk Experiment Breeding Station of VIR in the prebreeding stage by I. S. Chepinoga

    Published 2022-06-01
    “…Promising source material is recommended for targeted development of new competitive almond cultivars for intensive horticulture, including sources of restrained growth type, compact crown, and earliness: Ferraduel × Tuono, ‘Monterey’(k-49538), elite 1-18-2 (k-42679), elite 2-40 (k-42680), and Kalmykov’s almond seedling 1-1 (k-42711); of productivity and almond kernel quality: Ferraduel × Tuono, ‘Monterey’, ‘Victoria’, ‘Meteor’, ‘Mindalny’ (k-42682), ‘Ferragness’ (k-42696), ‘Tuono’, ‘Karmeil’ (k-49540), elite 1-18-2, and Kalmykov’s almond seedling 1-1; of high oil content in kernels: elite 13-37 (k-42681); and of valuable fatty acid composition (according to the content of unsaturated fatty acids): cv. …”
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  17. 97

    Strong laws of large numbers for arrays of row-wise exchangeable random elements by Robert Lee Taylor, Ronald Frank Patterson

    Published 1985-01-01
    “…Let {Xnk,1≤k≤n,n≤1} be a triangular array of row-wise exchangeable random elements in a separable Banach space. …”
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  18. 98

    Feature enhanced cascading attention network for lightweight image super-resolution by Feng Huang, Hongwei Liu, Liqiong Chen, Ying Shen, Min Yu

    Published 2025-01-01
    “…Specifically, at a × 4 scale with a 121 K model size, compared to the second-ranked MAN-tiny, FECAN achieves a 0.07 dB improvement in average peak signal-to-noise ratio (PSNR), while reducing network parameters by approximately 19% and FLOPs by 20%. …”
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  19. 99

    Weakly Supervised Nuclei Segmentation with Point-Guided Attention and Self-Supervised Pseudo-Labeling by Yapeng Mo, Lijiang Chen, Lingfeng Zhang, Qi Zhao

    Published 2025-01-01
    “…First, we devise a Gaussian kernel mechanism that employs multi-scale Gaussian masks for multi-branch center-point prediction. …”
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  20. 100

    SECOND ORDER BLIND IDENTIFICATION OF SINGLE-CHANNEL SIGNAL BASED ON KERNELS by 刘邦, 肖涵, 易灿灿

    Published 2018-01-01
    “…First,the collected single-channel signal was decomposed into multi-dimensional signal by kernels. Then the K-SVD source number estimation algorithm was used to estimate the number of sources. …”
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