Zobrazeno 1 - 10
of 12 101
pro vyhledávání: '"Autoregressive Integrated Moving Average"'
Autor:
Subramanian Deepan, Murugan Saravanan
Publikováno v:
ETRI Journal, Vol 46, Iss 5, Pp 915-927 (2024)
We obtain the air quality index (AQI) for a descriptive system aimed to communicate pollution risks to the population. The AQI is calculated based on major air pollutants including O3, CO, SO2, NO, NO2, benzene, and particulate matter PM2.5 that shou
Externí odkaz:
https://doaj.org/article/fb880beab6d14836bf59bf2350dc736e
Autor:
Muhammad Bilal, Muhammad Aamir, Saleem Abdullah, Siti Mariam Norrulashikin, Ohud A. Alqasem, Maysaa E. A. Elwahab, Ilyas Khan
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract The interplay of exchange rates among nations significantly influences both international and domestic trade, underscoring the pivotal role of the foreign exchange market (Forex) in a country's economic landscape. Forex fluctuations have a s
Externí odkaz:
https://doaj.org/article/fb88bbdb055c4ff8b6dae10d946a385a
Enhancing Sales Performance through ARIMA-Based Predictive Modeling: Insights and Applications Model
Autor:
Dwi Hartanti, Hanifah Permatasari
Publikováno v:
Journal of Information Systems and Informatics, Vol 6, Iss 3, Pp 1646-1662 (2024)
Gociko Snack, a Micro, Small, and Medium Enterprise (MSME), often faces significant challenges in managing its inventory due to the unpredictable nature of market demand. Accurate sales forecasting is crucial for Gociko Snack to optimize stock levels
Externí odkaz:
https://doaj.org/article/20b80a0195c5461aabe9b054da5cabd4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study investigates the incidence of Class B respiratory infectious diseases (RIDs) in China under the Coronavirus disease 2019 (COVID-19) epidemic and examines variations post-epidemic, following the relaxation of non-pharmaceutical int
Externí odkaz:
https://doaj.org/article/91a8bf9f59e3410bb877c67bfa57ea37
Publikováno v:
发电技术, Vol 45, Iss 4, Pp 744-752 (2024)
ObjectivesTo enhance the intelligent management of substation equipment maintenance, timely identify and mitigate the risks of failures caused by device overheating, and ensure the safe and stable operation of the power grid, the temperature situatio
Externí odkaz:
https://doaj.org/article/cae27b697a554c7b9436f9bba67d07fe
Publikováno v:
Zhongguo gonggong weisheng, Vol 40, Iss 8, Pp 980-984 (2024)
ObjectiveCompare the prediction effects of the seasonal autoregressive integrated moving average (SARIMA), exponential smoothing (ETS), trigonometric box-cox transform, ARMA residuals, trend, and seasonal components (TBATS), and neural network autore
Externí odkaz:
https://doaj.org/article/0114ebb0f9a94f5b859cf556ba4ff904
Publikováno v:
Supply Chain Analytics, Vol 8, Iss , Pp 100084- (2024)
Precise demand forecasting and agile pricing strategies are crucial in modern business. This study aims to enhance these strategies by evaluating the efficacy of Holt-Winters Exponential Smoothing (HWES) and Autoregressive Integrated Moving Average (
Externí odkaz:
https://doaj.org/article/d5c08ca7d6414ae091b3e746528f17bf
Publikováno v:
International Journal of Energy Economics and Policy, Vol 14, Iss 6 (2024)
This work aims to create a robust causal regression model that can accurately measure the influence of many variables on greenhouse gas (GHG) emissions in ASEAN nations from 1971 to 2017. The study aims to identify the main factors contributing to em
Externí odkaz:
https://doaj.org/article/555b12aaa0994228980f12868e2ec6ea
Publikováno v:
Infectious Agents and Cancer, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Background The proportional trends of HPV-associated oropharyngeal squamous cell carcinoma (OPSCC) according to various factors have not been analyzed in detail in previous studies. We aimed to evaluate the trends of HPV-associated OPSCC in
Externí odkaz:
https://doaj.org/article/0066140b44714f56bee5c0fdd12b2382
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 2, Pp 12-18 (2024)
Affected by meteorological conditions, terrains, locations and specific designs, wind turbines exhibit significant uncertainties and disparities in wind energy input, which makes it difficult to predict their output power. This paper aims to enhance
Externí odkaz:
https://doaj.org/article/368f5e33998a4168abe11e819de47b3b