Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Prity Kumari"'
Autor:
Shikha Yadav, Nadjem Bailek, Prity Kumari, Alina Cristina Nuţă, Aynur Yonar, Thomas Plocoste, Soumik Ray, Binita Kumari, Mostafa Abotaleb, Amal H. Alharbi, Doaa Sami Khafaga, El-Sayed M. El-Kenawy
Publikováno v:
AIP Advances, Vol 14, Iss 6, Pp 065306-065306-8 (2024)
In the literature, it is well known that there is a bidirectional causality between economic growth and energy consumption. This is why it is crucial to forecast energy consumption. In this study, four deep learning models, i.e., Long Short-Term Memo
Externí odkaz:
https://doaj.org/article/3c3de4ae5b5b4a74a161ba3ba5b976ae
Autor:
N. Harshith, Prity Kumari
Publikováno v:
Journal of Agriculture and Food Research, Vol 15, Iss , Pp 101020- (2024)
Agricultural price forecasting, with its distinctive characteristics, remains a captivating field of study. In countries like India, grappling with food security challenges, reliable and efficient price forecasting models are of utmost importance. Th
Externí odkaz:
https://doaj.org/article/066a8362ac2544999cbb2f6f8a1d4f40
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0275702 (2023)
ObjectivesThe forecasting of horticulture commodity prices, such as bananas, has wide-ranging impacts on farmers, traders and end-users. The considerable volatility in horticultural commodities pricing estimates has allowed farmers to exploit various
Externí odkaz:
https://doaj.org/article/1b275fd8d98a485d8a623dfa5696127d
Publikováno v:
Journal of Agrometeorology, Vol 19, Iss 3 (2017)
Present investigation considers comparison of time series statistical models like autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) with explanatory multiple linear regression model for predicting per cent pod damag
Externí odkaz:
https://doaj.org/article/c3ef034c628b413a8bfbdef98e9ccf59
Publikováno v:
Journal of Agrometeorology, Vol 18, Iss 2 (2016)
Present study deals with different linear and non-linear statistical models like multiple linear regression (MLR) model, autoregressive integrated moving average (ARIMA) model and artificial neural network (ANN) for forecastingpigeon pea yield grown
Externí odkaz:
https://doaj.org/article/f26459e255ac48fcb227993ef99d63d3
Autor:
Prity Kumari, Samuel Adeloju
Publikováno v:
ChemNanoMat. 8
Publikováno v:
Journal of Control and Instrumentation Engineering. 6:18-26
Autor:
Prity Kumari, Dolly Thankachan
Publikováno v:
Journal of Power Electronics and Devices. 6:8-11
Electrical task balancing counts have advanced fundamentally, from distorted figurings like initially start things out serve, to bio-impelled and AI estimations like Q-learning and genetic computations. The main objective of any task altering computa