International Journal of Trend in Scientific Research and Development

The use of statistical measurement tools to research human behavior in a social environment is known as social statistics. Statistics and statistical analysis has become a key feature of social science. In this study researcher study Socio Economics indicators like Education, Health and Employment in Gujarat, he also used Multivariate Analysis as a statistical tools. In this research it will be found that the most of the Sub Indicators are positively impact on Multivariate Analysis model. 

by Dr. Mahesh Vaghela "An Application of Multivariate Analysis on Socio Economic Indicators in Gujarat" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, 

URL: https://www.ijtsrd.compapers/ijtsrd42534.pdf 

Paper URL: https://www.ijtsrd.comother-scientific-research-area/applied-mathamatics/42534/an-application-of-multivariate-analysis-on-socio-economic-indicators-in-gujarat/dr-mahesh-vaghela

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Here in this paper, ten special type of standard cubic congruence of composite modulus are studied for their solutions. It is found that each of the cubic congruence under consideration has a single solution. The solution can be obtained orally as the solution is given in the problems. No extra effort is necessary to find the solution. Prof B M Roy "RP-166: Solving Some Special Standard Cubic Congruence of Composite Modulus modulo a Multiple of an Odd Prime" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, 

URL: https://www.ijtsrd.compapers/ijtsrd42321.pdf 

Paper URL: https://www.ijtsrd.commathemetics/applied-mathamatics/42321/rp166-solving-some-special-standard-cubic-congruence-of-composite-modulus-modulo-a-multiple-of-an-odd-prime/prof-b-m-roy

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In this research paper, the author has formulated the solutions of a standard cubic congruence of composite modulus modulo p2 multiple of 3n, n being a positive integer. It is found that the said congruence has exactly 3p incongruent solutions p being an odd prime positive integer. It seems that the earlier mathematicians didn’t study such types of congruence. First time a formulation of solutions is established by the author. Formulation is the merit of the paper as formulation of solutions has provided a simple procedure of finding the required solutions with an ease. 

by Prof B M Roy "RP-170: Formulating Solutions of a Special Class of Standard Cubic Congruence Modulo p2 Multiple of 3n" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, 

URL: https://www.ijtsrd.compapers/ijtsrd42540.pdf 

Paper URL: https://www.ijtsrd.commathemetics/applied-mathamatics/42540/rp170-formulating-solutions-of-a-special-class-of-standard-cubic-congruence-modulo-p2-multiple-of-3n/prof-b-m-roy

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In this paper, we propose another methodology for the arrangement of fuzzy transportation problem under a fuzzy environment in which transportation costs are taken as fuzzy Heptagonal numbers. The fuzzy numbers and fuzzy values are predominantly used in various fields. Here, we are converting fuzzy Heptagonal numbers into crisp value by using range technique and then solved by the MAX MIN method for the transportation problem. 

by M. Revathi | K. Nithya "Heptagonal Fuzzy Numbers by Max-Min Method" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd38280.pdf 

Paper URL: https://www.ijtsrd.com/mathemetics/applied-mathamatics/38280/heptagonal-fuzzy-numbers-by-maxmin-method/m-revathi

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Influenza A H1N1 incidence in India, which is a highly contagious acute respiratory disease in humans caused by type A influenza virus. This study employs retrospective comparative study of the data from National Centre for Disease Control CDC yearly reports from April 2010 to April 2019. The case fatality rates of Influenza A H1N1 incidence in India was forecasted using autoregressive integrated moving average ARIMA models in order to build a predictive tool for Influenza A H1N1 surveillance. Clearly from the study, lack of rainfall spread the virus more efficiently and Maharashtra stood first in total number of cases and deaths of Influenza A H1N1 whereas Lakshadweep had no signs of disease. Further, number of Cases were reported in the year 2015 i.e. 28 and 25 of cases have been reported in 2017 when compared to ten years data. ARIMA 2, 1, 3 model was selected for its minimum value of normalized BIC, MAPE and good R Square among all other models. The model forecasted the decrease in case fatality rate of Influenza A H1N1 for next 10years. Thus, results indicate that, ARIMA models provide a means to better understand Influenza A H1N1 incidence yielding forecasts that can be used for public health planning at the national level. Stavelin Abhinandithe K | Sathya Velu R | Dr. Madhu B | Sahana S | Sowmyavalli R |Bibin John | Dr. Balasubramanian S "Modeling and Analysis of Influenza A H1N1 Outbreaks in India" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd39862.pdf 

Paper URL: https://www.ijtsrd.com/other-scientific-research-area/applied-mathamatics/39862/modeling-and-analysis-of-influenza-a-h1n1-outbreaks-in-india/stavelin-abhinandithe-k

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A time series is a set of events, sequentially calculated over time. Predicting the Time Series is mostly about predicting the future. The ability of a time series forecasting model is determined by its success in predicting the future. This is often at the expense of being able to explain why a specific prediction was made. The Box Jenkins model implies that the time series is stationary, and thus suggests differentiating non stationary series once or several times to obtain stationary effects. This generates a model for ARIMA, the I being the word for Integrated . The LSTM networks, comparable to computer memory, enforce a gated cell for storing information. Such as the previously mentioned networks, the LSTM cells also recognize when to make preceding time steps reads and writes information. Even though the work is new, it is obvious that LSTM architectures provide tremendous prospects as contenders for modeling and forecasting time series. The outcomes of the overall discrepancy in error indicate that in regards of both RMSE and MAE, the LSTM model tended to have greater predictive accuracy than the ARIMA model. 

by Stavelin Abhinandithe K | Madhu B | Balasubramanian S | Sahana C "A Review on the Comparison of Box-Jenkins ARIMA and LSTM of Deep Learning" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, 

URL: https://www.ijtsrd.com/papers/ijtsrd39831.pdf 

Paper URL: https://www.ijtsrd.com/other-scientific-research-area/applied-mathamatics/39831/a-review-on-the-comparison-of-boxjenkins-arima-and-lstm-of-deep-learning/stavelin-abhinandithe-k

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