Well production forecasting based on ARIMA-LSTM model considering manual operations

D Fan, H Sun, J Yao, K Zhang, X Yan, Z Sun - Energy, 2021 - Elsevier
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 …

Forecasting the incidence of dengue in Bangladesh—application of time series model

S Naher, F Rabbi, MM Hossain, R Banik… - Health science …, 2022 - Wiley Online Library
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 …

[PDF][PDF] Forecasting potato production in Bangladesh by ARIMA model

MM Hossain, F Abdulla - J Adv Stat, 2016 - academia.edu
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 …

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 …

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 …

Comparative analysis of sugarcane production for South East Asia region

Supriya, AB Srivastava, B Kumari, S Yadav… - Sugar Tech, 2024 - Springer
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 …

Modelling COVID-19 cases and deaths with climate variables using statistical and data science methods

M Karimuzzaman, S Afroz, MM Hossain, A Rahman - Soft Computing, 2024 - Springer
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 …

Comparison between the backpropagation and single exponential smoothing method in sugar production forecasting case

EMS Rochman, W Agustiono, N Suryani… - Commun. Math. Biol …, 2021 - scik.org
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 …

Problem confrontation of sugarcane farmers in Natore district of Bangladesh

MJ Hoque, MI Hossain, MA Sarker… - International Journal of …, 2021 - banglajol.info
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 …

Mathematical correlations of machine learning, which is a component of artificial intelligence

HF Kayıran, U Demirbilek… - … Engineering Days (AED), 2023 - publish.mersin.edu.tr
Artificial intelligence can be explained as a mathematical phenomenon. Artificial intelligence
comes together from systems that imitate human intelligence. Driverless cars, robots …