The corrosion of the mild steel in i mol/L H2SO4 was investigated using Leucaena leucocephala pod extract （LLPE） as corrosion inhibitor by weight loss and electrochemical techniques. Inhibition efficiency of 95% was...The corrosion of the mild steel in i mol/L H2SO4 was investigated using Leucaena leucocephala pod extract （LLPE） as corrosion inhibitor by weight loss and electrochemical techniques. Inhibition efficiency of 95% was achieved with 500×10^-6 of LLPE at 308 K. The polarization studies showed that LLPE acted as mixed type inhibitor. The adsorption of the studied inhibitor on mild steel obeyed Langmuir adsorption isotherm. Protective film formation against acid attack was confirmed by FT-IR, XRD and SEM techniques.展开更多
In order to research brain problems using MRI,PET,and CT neuroimaging,a correct understanding of brain function is required.This has been considered in earlier times with the support of traditional algorithms.Deep lea...In order to research brain problems using MRI,PET,and CT neuroimaging,a correct understanding of brain function is required.This has been considered in earlier times with the support of traditional algorithms.Deep learning process has also been widely considered in these genomics data processing system.In this research,brain disorder illness incliding Alzheimer’s disease,Schizophrenia and Parkinson’s diseaseis is analyzed owing to misdetection of disorders in neuroimaging data examined by means fo traditional methods.Moeover,deep learning approach is incorporated here for classification purpose of brain disorder with the aid of Deep Belief Networks(DBN).Images are stored in a secured manner by using DNA sequence based on JPEG Zig Zag Encryption algorithm(DBNJZZ)approach.The suggested approach is executed and tested by using the performance metric measure such as accuracy,root mean square error,Mean absolute error and mean absolute percentage error.Proposed DBNJZZ gives better performance than previously available methods.展开更多
文摘The corrosion of the mild steel in i mol/L H2SO4 was investigated using Leucaena leucocephala pod extract （LLPE） as corrosion inhibitor by weight loss and electrochemical techniques. Inhibition efficiency of 95% was achieved with 500×10^-6 of LLPE at 308 K. The polarization studies showed that LLPE acted as mixed type inhibitor. The adsorption of the studied inhibitor on mild steel obeyed Langmuir adsorption isotherm. Protective film formation against acid attack was confirmed by FT-IR, XRD and SEM techniques.
文摘In order to research brain problems using MRI,PET,and CT neuroimaging,a correct understanding of brain function is required.This has been considered in earlier times with the support of traditional algorithms.Deep learning process has also been widely considered in these genomics data processing system.In this research,brain disorder illness incliding Alzheimer’s disease,Schizophrenia and Parkinson’s diseaseis is analyzed owing to misdetection of disorders in neuroimaging data examined by means fo traditional methods.Moeover,deep learning approach is incorporated here for classification purpose of brain disorder with the aid of Deep Belief Networks(DBN).Images are stored in a secured manner by using DNA sequence based on JPEG Zig Zag Encryption algorithm(DBNJZZ)approach.The suggested approach is executed and tested by using the performance metric measure such as accuracy,root mean square error,Mean absolute error and mean absolute percentage error.Proposed DBNJZZ gives better performance than previously available methods.
