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Frontiers in Research Metrics and Analytics, 2022 Africa's focus on science, technology, and innovation (STI) has grown over the last decade, with emerging examples of good practice. There are however numerous challenges to sustainable development in Africa; for example, inequalities within and among ...
Jose C. Jackson +5 more
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Monthly precipitation prediction using neural network algorithms in the Thua Thien Hue Province
Journal of Water and Climate Change, 2022 The prediction of precipitation is of importance in the Thua Thien Hue Province, which is affected by climate change. Therefore, this paper suggests two models, namely, the Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model and the Long ...
Nguyen Hong Giang +4 more
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Long-term forecast of monthly reference evapotranspiration of the period 2018-2027 using SARIMA and GRNN models (case study: Rasht synoptic station) [PDF]
علوم محیطی, 2019 Introduction: Evapotranspiration is a key principle of water balance and an important element of energy balance. Therefore, forecasting and estimation of evapotranspiration in agricultural water management, forecasting and monitoring drought, and the ...
Pouya Aghelpoor +2 more
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Slovak Journal of Civil Engineering, 2022 Pakistan’s agricultural economy is reliant on the Indus River’s irrigation system, which is fed by the water coming from the great Himalayas-Karakoram Glacier Mountains.
Yonus Muhammad, Hassan Syed Ahmad
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Predicting the Effect of Temperature Changes on Reference Evapotranspiration by Means of Time Series Modeling (Case Study: Khorramabad Basin) [PDF]
علوم و مهندسی آبیاری, 2022 Global warming phenomenon has affected the hydrologic balance, especially in the arid and semi-arid regions of the world. Therefore, it seems necessary to study these effects to achieve better water resources management system. In this study, maximum and
Yaser Sabzevari, Saeid Eslamian
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SARIMA-LSTM Combination For COVID-19 Case Modeling
International Islamic University Malaysia Engineering Journal, 2022 The study of SARIMA method in combination with LSTM is interesting to do. This combination method can be convincing and significant because the data collected is numerical and saved based on time. In addition, the proposed method can anticipate datasets,
Imam Tahyudin +2 more
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PEMODELAN JUMLAH PENUMPANG PESAWAT DI BANDARA SOEKARNO-HATTA MENGGUNAKAN MODEL HYBRiD SARIMA-FTSMC
Jurnal Lebesgue, 2023 The aim of this research is to model the number of airplane passengers at Soelkarno-Hatta airport using a model hybrid SARIMA-FTSMC. The data used in this research is secondary data in the form of data on the number of airplane passengers at Soekarno ...
M. Pio Hidayatullah +2 more
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A new hybrid model SARIMA-ETS-SVR for seasonal influenza incidence prediction in mainland China
Journal of Infection in Developing Countries, 2023 Introduction: Seasonal influenza is a serious public health issue in China. This study aimed to develop a new hybrid model for seasonal influenza incidence prediction and provide reference information for early warning management before outbreaks ...
Daren Zhao, Ruihua Zhang
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Alexandria Engineering Journal, 2021 Autoregressive Integrated Moving Average (ARIMA) and seasonal ARIMA (SARIMA) models are common techniques that are widely used in analysing and forecasting stationary and seasonal time series data.
Mohammed Farsi +8 more
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BMC Infectious Diseases, 2023 Background Influenza is an acute respiratory infectious disease that is highly infectious and seriously damages human health. Reasonable prediction is of great significance to control the epidemic of influenza.
Zhiyang Zhao +11 more
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