Numerical investigation of the kinetics and chemistry of rf glow discharge plasmas sustained in He, N2, O2, He/N2/O2, He/CF4/O2, and SiH4/NH3using a Monte Carlo‐fluid hybrid model

1992 ◽  
Vol 71 (4) ◽  
pp. 1654-1673 ◽  
Author(s):  
Timothy J. Sommerer ◽  
Mark J. Kushner
1988 ◽  
Vol 63 (7) ◽  
pp. 2241-2251 ◽  
Author(s):  
Brian E. Thompson ◽  
Herbert H. Sawin ◽  
Donald A. Fisher

2013 ◽  
Vol 30 (8) ◽  
pp. 085201 ◽  
Author(s):  
Fang Ding ◽  
Shi-Jian Zheng ◽  
Bo Ke ◽  
Zhong-Liang Tang ◽  
Yi-Chuan Zhang ◽  
...  

2021 ◽  
pp. 1-17
Author(s):  
Nuzhat Fatema ◽  
H Malik ◽  
Mutia Sobihah Binti Abd Halim

This paper proposed a hybrid intelligent approach based on empirical mode decomposition (EMD), autoregressive integrated moving average (ARIMA) and Monte Carlo simulation (MCS) methods for multi-step ahead medical tourism (MT) forecasting using explanatory input variables based on two decade real-time recorded database. In the proposed hybrid model, these variables are 1st extracted then medical tourism is forecasted to perform the long term as well as the short term goal and planning in the nation. The multi-step ahead medical tourism is forecasted recursively, by utilizing the 1st forecasted value as the input variable to generate the next forecasting value and this procedure is continued till third step ahead forecasted value. The proposed approach firstly tested and validated by using international tourism arrival (ITA) dataset then proposed approach is implemented for forecasting of medical tourism arrival in nation. In order to validate the performance and accuracy of the proposed hybrid model, a comparative analysis is performed by using Monte Carlo method and the results are compared. Obtained results shows that the proposed hybrid forecasting approach for medical tourism has outperformance characteristics.


1980 ◽  
Vol 13 (6) ◽  
pp. L101-L105 ◽  
Author(s):  
D Mangalaraj ◽  
M Radhakrishnan ◽  
C Balasubramanian ◽  
A R Kasilingam

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