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BIOFUEL: ALTERNATIVE FOR APPLICATIONS IN OXI-COMBUSTION THERMAL PROCESSES
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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Is special treatment of a minor offender against the best interests of the minor victim?
Published 2023-10-01Get full text
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Identities involving iterated integral transforms
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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On almost sure convergence rates for the kernel estimator of a covariance operator under negative association
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
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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High-z Stellar Masses Can Be Recovered Robustly with JWST Photometry
Published 2025-01-01Get full text
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RELIABILITY ASSESSMENT MODELING FOR PERFORMANCE DEGRADATION DATA BASED ON DATA-DRIVEN METHOD
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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Wind Speed Probability Distribution Based on Adaptive Bandwidth Kernel Density Estimation Model for Wind Farm Application
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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Robust and Sparse Kernel-Free Quadratic Surface LSR via L<sub>2,p</sub>-Norm With Feature Selection for Multi-Class Image Classification
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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Introduction and studying of the species polymorphism in the almond genetic diversity preserved at Krymsk Experiment Breeding Station of VIR in the prebreeding stage
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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Strong laws of large numbers for arrays of row-wise exchangeable random elements
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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Feature enhanced cascading attention network for lightweight image super-resolution
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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Weakly Supervised Nuclei Segmentation with Point-Guided Attention and Self-Supervised Pseudo-Labeling
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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SECOND ORDER BLIND IDENTIFICATION OF SINGLE-CHANNEL SIGNAL BASED ON KERNELS
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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