The initial attack is a critical phase in firefighting efforts, where the first batch of resources are deployed to prevent spread fire. This study aimed analyze and understand factors that impact success attack, used three machine learning models—logistic regression, XGBoost, artificial neural network—to simulate rate specific region. performance each model was evaluated based on accuracy, AUC ...

In this research, Graphene Oxide- Gold nanoparticles (AuNP/GO) were easily fabricated by a redox reaction between GO and chloroauric acid without using any additional reductant and then used to stabilize Pickering emulsions. (AuNP/GO) was investigated by FT-IR spectroscopy. The changes of parameters such as contact time, pH, Amoxicillin initial concentration and temperature were tested and inve...

In this research, Graphene Oxide- Gold nanoparticles (AuNP/GO) were easily fabricated by a redox reaction between GO and chloroauric acid without using any additional reductant and then used to stabilize Pickering emulsions. (AuNP/GO) was investigated by FT-IR spectroscopy. The changes of parameters such as contact time, pH, Amoxicillin initial concentration and temperature were tested and inve...

In the past three decades, the use of smart methods in medical diagnostic systems has attracted the attention of many researchers. However, no smart activity has been provided in the field of medical image processing for diagnosis of bladder cancer through cystoscopy images despite the high prevalence in the world. In this paper, a multilayer neural network was applied to clas...

in this research, graphene oxide- gold nanoparticles (aunp/go) were easily fabricated by a redox reaction between go and chloroauric acid without using any additional reductant and then used to stabilize pickering emulsions. (aunp/go) was investigated by ft-ir spectroscopy. the changes of parameters such as contact time, ph, amoxicillin initial concentration and temperature were tested and inve...