Attribution of Soil Acidification in a Large-Scale Region: Artificial Intelligence Approach Application

2018 ◽  
Vol 82 (4) ◽  
pp. 772-782 ◽  
Author(s):  
Qi Wang ◽  
Huanyun Yu ◽  
Jianfeng Liu ◽  
Fangbai Li
Keyword(s):  
Artificial Intelligence ◽  
Soil Acidification ◽  
Large Scale ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

scholarly journals Artificial intelligence approach in crude distillation unit operation

2021 ◽  
Vol 9 (2) ◽  
pp. 075-082
Author(s):  
Obumneme Onyeka Okwonna ◽  
Amalate Ann Jonathan Obuebite
Keyword(s):  
Artificial Intelligence ◽  
Large Scale ◽  
Diesel Oil ◽  
Distillation Unit ◽  
Coefficient Of Determination ◽  
Liquefied Petroleum Gas ◽  
Refining Operation ◽  
Actual Yield ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

This study incorporates the use of Artificial Intelligence in the monitoring of atmospheric distillation unit of large scale refining operation using Google AutoML tables, Jupyter, and Python software. The process involved training, evaluation, improvement, and deployment of the models based on the input data. The predicted yield (vol %) for the models were: Auto ML model: liquefied petroleum gas (LPG) - 1.41 , straight run gasoline (SRG)– 4.96, straight run naphtha (SRN) – 17.87, straight run kerosene (SRK) – 14.5, light diesel oil (LDO) – 26.47, heavy diesel oil (HDO) – 2.7, and atmospheric residue (AR) –30.03; Jupyter Model: LPG – (0.93), SRG – (4.69), SRN – (17.24), SRK – (14.39), LDO – (26.43), HDO – (2.7), and AR – (30.18); and Python Model:LPG – (1.66) , SRG – (7.58), SRN – (11.68), SRK – (14.92), LDO – (24.77), HDO – (4.59), and AR – (24.59). The coefficient of determination (R2) values of 0.99981, 0.99943, and 0.93078 and Standard Error values of 0.240918, 0.419291, 3.536064, were obtained for the 3 models, respectively. All the software gave good predictions of the actual yield, although the Google Auto ML Table gave the best prediction. The training of the model is fundamental to its performance and precision.

scholarly journals Prediction of the spread of Corona-virus carrying droplets in a bus - A computational based artificial intelligence approach

2021 ◽  
Vol 413 ◽  
pp. 125358
Author(s):  
Mehrdad Mesgarpour ◽  
Javad Mohebbi Najm Abad ◽  
Rasool Alizadeh ◽  
Somchai Wongwises ◽  
Mohammad Hossein Doranehgard ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Corona Virus ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach
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