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Well production forecasting based on ARIMA-LSTM model considering manual operations
Accurate and efficient prediction of well production is essential for extending a well's life
cycle and improving reservoir recovery. Traditional models require expensive computational …
cycle and improving reservoir recovery. Traditional models require expensive computational …
Forecasting the incidence of dengue in Bangladesh—application of time series model
Background Dengue is an alarming public health concern in terms of its preventive and
curative measures among people in Bangladesh; moreover, its sudden outbreak created a …
curative measures among people in Bangladesh; moreover, its sudden outbreak created a …
[PDF][PDF] Forecasting potato production in Bangladesh by ARIMA model
Bangladesh is recognized as a rice-eating nation; nevertheless, large quantities of potatoes
are produced and consumed each year. In Bangladesh, potato has gradually gained …
are produced and consumed each year. In Bangladesh, potato has gradually gained …
Traffic forecasting of back servers based on ARIMA-LSTM-CF hybrid model
E Yao, L Zhang, X Li, X Yun - International Journal of Computational …, 2023 - Springer
Accurate server traffic prediction can help enterprises formulate network resource allocation
strategies in advance and reduce the probability of network congestion. Traditional …
strategies in advance and reduce the probability of network congestion. Traditional …
Statistical modelling and forecasting annual sugarcane production in India: Using various time series models
S Tyagi, S Chandra, G Tyagi - Annals of Applied Biology, 2023 - Wiley Online Library
This paper proposes a comparison of various time series forecasting models to forecast
annual data on sugarcane production over 63 years from 1960 to 2022. In this research, the …
annual data on sugarcane production over 63 years from 1960 to 2022. In this research, the …
Comparative analysis of sugarcane production for South East Asia region
The aim of this study is to analyze the trends in sugarcane output in Bangladesh, China,
India, Nepal, Pakistan, and Sri Lanka by employing three different models, ie, the …
India, Nepal, Pakistan, and Sri Lanka by employing three different models, ie, the …
Modelling COVID-19 cases and deaths with climate variables using statistical and data science methods
The authors aimed to forecast the cumulative COVID-19 confirmed cases and deaths by the
most appropriate model of the top five impacted countries and three South Asian countries …
most appropriate model of the top five impacted countries and three South Asian countries …
Comparison between the backpropagation and single exponential smoothing method in sugar production forecasting case
Sugar is a strategic commodity, because it is one of the basic needs consumed by the
community. The decline in sugar production causes turmoil both economically and …
community. The decline in sugar production causes turmoil both economically and …
Problem confrontation of sugarcane farmers in Natore district of Bangladesh
The present study was conducted to explore the problems of sugarcane farmers in the
selected areas of Natore district in Bangladesh. A total of 100 farmers were selected from …
selected areas of Natore district in Bangladesh. A total of 100 farmers were selected from …
Mathematical correlations of machine learning, which is a component of artificial intelligence
Artificial intelligence can be explained as a mathematical phenomenon. Artificial intelligence
comes together from systems that imitate human intelligence. Driverless cars, robots …
comes together from systems that imitate human intelligence. Driverless cars, robots …