In this paper, the transonic gas equation will be considered. Different methods will be presented and discussed. We will show that there is no unique solution in the computational domain [-1, 1]2?with Dirichlet bounda...In this paper, the transonic gas equation will be considered. Different methods will be presented and discussed. We will show that there is no unique solution in the computational domain [-1, 1]2?with Dirichlet boundary conditions.展开更多
BOD composite,(E)-4-(2-(benzo[d]oxazol-2-yl)vinyl)-N,N-dimethylaniline is a new eco-friendly corrosion inhibitor versus P355 Carbon Steel(Cs).BOD was examined in 1.0 N HCl corrosive solution utilizing TP,EIS and EFM t...BOD composite,(E)-4-(2-(benzo[d]oxazol-2-yl)vinyl)-N,N-dimethylaniline is a new eco-friendly corrosion inhibitor versus P355 Carbon Steel(Cs).BOD was examined in 1.0 N HCl corrosive solution utilizing TP,EIS and EFM tests.EIS curves show that adsorption of BOD increases the transfer resistance and decrease the capacitance of interface metal/solution.Molecular docking was utilized to predict the binding between BOD composite with the receptor of 3tt8-hormone of crystal structure analysis of Cu Human Insulin Derivative.The morphology of inhibited P355 Cs was analyzed by checking electron magnifying instrument innovation with energy dispersive X-beam spectroscopy(SEM EDX).展开更多
Hyperspectral images can easily discriminate different materials due to their fine spectral resolution.However,obtaining a hyperspectral image(HSI)with a high spatial resolution is still a challenge as we are limited ...Hyperspectral images can easily discriminate different materials due to their fine spectral resolution.However,obtaining a hyperspectral image(HSI)with a high spatial resolution is still a challenge as we are limited by the high computing requirements.The spatial resolution of HSI can be enhanced by utilizing Deep Learning(DL)based Super-resolution(SR).A 3D-CNNHSR model is developed in the present investigation for 3D spatial super-resolution for HSI,without losing the spectral content.The 3DCNNHSR model was tested for the Hyperion HSI.The pre-processing of the HSI was done before applying the SR model so that the full advantage of hyperspectral data can be utilized with minimizing the errors.The key innovation of the present investigation is that it used 3D convolution as it simultaneously applies convolution in both the spatial and spectral dimensions and captures spatial-spectral features.By clustering contiguous spectral content together,a cube is formed and by convolving the cube with the 3D kernel a 3D convolution is realized.The 3D-CNNHSR model was compared with a 2D-CNN model,additionally,the assessment was based on higherresolution data from the Sentinel-2 satellite.Based on the evaluation metrics it was observed that the 3D-CNNHSR model yields better results for the SR of HSI with efficient computational speed,which is significantly less than previous studies.展开更多
文摘In this paper, the transonic gas equation will be considered. Different methods will be presented and discussed. We will show that there is no unique solution in the computational domain [-1, 1]2?with Dirichlet boundary conditions.
文摘BOD composite,(E)-4-(2-(benzo[d]oxazol-2-yl)vinyl)-N,N-dimethylaniline is a new eco-friendly corrosion inhibitor versus P355 Carbon Steel(Cs).BOD was examined in 1.0 N HCl corrosive solution utilizing TP,EIS and EFM tests.EIS curves show that adsorption of BOD increases the transfer resistance and decrease the capacitance of interface metal/solution.Molecular docking was utilized to predict the binding between BOD composite with the receptor of 3tt8-hormone of crystal structure analysis of Cu Human Insulin Derivative.The morphology of inhibited P355 Cs was analyzed by checking electron magnifying instrument innovation with energy dispersive X-beam spectroscopy(SEM EDX).
基金Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under Grant Number RGP2/80/44.
文摘Hyperspectral images can easily discriminate different materials due to their fine spectral resolution.However,obtaining a hyperspectral image(HSI)with a high spatial resolution is still a challenge as we are limited by the high computing requirements.The spatial resolution of HSI can be enhanced by utilizing Deep Learning(DL)based Super-resolution(SR).A 3D-CNNHSR model is developed in the present investigation for 3D spatial super-resolution for HSI,without losing the spectral content.The 3DCNNHSR model was tested for the Hyperion HSI.The pre-processing of the HSI was done before applying the SR model so that the full advantage of hyperspectral data can be utilized with minimizing the errors.The key innovation of the present investigation is that it used 3D convolution as it simultaneously applies convolution in both the spatial and spectral dimensions and captures spatial-spectral features.By clustering contiguous spectral content together,a cube is formed and by convolving the cube with the 3D kernel a 3D convolution is realized.The 3D-CNNHSR model was compared with a 2D-CNN model,additionally,the assessment was based on higherresolution data from the Sentinel-2 satellite.Based on the evaluation metrics it was observed that the 3D-CNNHSR model yields better results for the SR of HSI with efficient computational speed,which is significantly less than previous studies.
