Pistachio green kernel, is obtained by removing the red testa of around the whole kernel. In this study, the suitable peeling conditions for removing the testa of the kernel were determined using hot water in five termperature levels of 75, 80, 85, 90, and 95°C and diffetent hot water immersion times of 2, 4, 6, 8, and 10 minutes in riped and unripe samples. Quality factors including the number...

monitoring and controlling air quality parameters form an important subject of atmospheric and environmental research today due to the health impacts caused by the different pollutants present in the urban areas. the support vector machine (svm), as a supervised learning analysis method, is considered an effective statistical tool for the prediction and analysis of air quality. the work present...

We study a critical case of coagulation-fragmentation equations with multiplicative coagulation kernel and constant fragmentation kernel. Our method is based on the viscosity solutions to new singular Hamilton-Jacobi equation, which results from applying Bernstein transform original equation. include well-posedness, regularity, long-time behaviors equation in certain regimes, have implications ...

Abstract Most single‐image super‐resolution (SR) models suffer from the degradation of image restoration performance when restoring a high‐resolution (HR) low‐resolution (LR) downscaled using an unknown blur kernel. The spatially invariant kernel estimators have been proposed to predict address this issue. Nevertheless, variant exists in real‐world; thus, these are unsuitable for real‐world app...

Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being used, identifying good kernels among a set of given kernels is important to the success of kernel methods. A straightforward approach to address this problem is cross-validation by training a separate classifier for e...