[HTML][HTML] Energy efficiency trends in Saudi Arabian commercial aviation before and after COVID-19
Aviation is undergoing significant sustainability issues, making energy efficiency and
emissions concerns crucial. This paper examines the energy efficiency patterns of flights …
emissions concerns crucial. This paper examines the energy efficiency patterns of flights …
Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and …
DA Adeyinka, N Muhajarine - BMC medical research methodology, 2020 - Springer
Background Accurate forecasting model for under-five mortality rate (U5MR) is essential for
policy actions and planning. While studies have used traditional time series modeling …
policy actions and planning. While studies have used traditional time series modeling …
Sales forecast for amazon sales with time series modeling
Accurate sales prediction plays an important role in reducing costs and improving customer
service levels, especially for B2C (Business to consumer) e-commerce. This paper attempts …
service levels, especially for B2C (Business to consumer) e-commerce. This paper attempts …
Forecasting PM10 concentrations using time series models: a case of the most polluted cities in Turkey
HO Cekim - Environmental Science and Pollution Research, 2020 - Springer
Particulate matter (PM), which is one of the most important parameters in the area of air
pollution, has widespread impacts on human health. Hence, the prediction of the probable …
pollution, has widespread impacts on human health. Hence, the prediction of the probable …
Prediction of the earthquake magnitude by time series methods along the East Anatolian Fault, Turkey
In this study, the magnitude of an earthquake in the East Anatolian Fault (EAF) of Turkey are
predicted based on previous earthquakes whose magnitudes are four or more by two-time …
predicted based on previous earthquakes whose magnitudes are four or more by two-time …
Long-term temporal prediction of terrestrial water storage changes over global basins using GRACE and limited GRACE-FO data
Abstract Gravity Recovery and Climate Experiment (GRACE) and the GRACE-Follow-On
(GRACE-FO) gravimetric missions provide essential data for remotely measure large-scale …
(GRACE-FO) gravimetric missions provide essential data for remotely measure large-scale …
Daily basis mid-term demand forecast of city natural gas using univariate statistical techniques
City distribution companies or companies with high consumption are required to report
monthly consumption demand forecasts for the year ahead and year based daily …
monthly consumption demand forecasts for the year ahead and year based daily …
Annual rainfall prediction using time series forecasting
This paper attempts to determine which one of the various univariate forecasting techniques
is producing accurate and statistically compelling forecasts for rainfall. The term “univariate …
is producing accurate and statistically compelling forecasts for rainfall. The term “univariate …
Key Interest Rate as a Central Banks Tool of the Monetary Policy Influence on Inflation: The Case of Ukraine
L Zomchak, A Lapinkova - … on Computer Science, Digital Economy and …, 2022 - Springer
The investigation is based on the Taylor monetary rule usage on the basis of which a
decision about the key policy rate level is made (on data from Ukraine). An approach to …
decision about the key policy rate level is made (on data from Ukraine). An approach to …
The impact of google trends on the tourist arrivals: a case of antalya tourism
HÖ Çekim, A Koyuncu - Alphanumeric Journal, 2022 - dergipark.org.tr
With the growth of the tourism industry, tourism demand forecasting has become an
important research topic. Recently researches have shown that Google Trends (GT) data …
important research topic. Recently researches have shown that Google Trends (GT) data …