Results 11 to 20 of about 105,549 (303)

Application of ARIMA, and hybrid ARIMA Models in predicting and forecasting tuberculosis incidences among children in Homa Bay and Turkana Counties, Kenya.

open access: yesPLOS Digital Health, 2023
Tuberculosis (TB) infections among children (below 15 years) is a growing concern, particularly in resource-limited settings. However, the TB burden among children is relatively unknown in Kenya where two-thirds of estimated TB cases are undiagnosed ...
Stephen Siamba   +2 more
doaj   +1 more source

Research on Short-term Ionospheric Prediction Combining with EOF and ARIMA Model Over Guangxi Area [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
According to the empirical orthogonal function (EOF), the non-stationary time series data are decomposed into time function and space function, so this mathematical method can simplify the non-stationary time series and eliminate redundant information ...
C. Li   +8 more
doaj   +1 more source

Epidemiological and clinical characteristics of influenza patients in respiratory department under the prediction of autoregressive integrated moving average model

open access: yesResults in Physics, 2021
This study was to explore the epidemiological distribution characteristics and future development trends of influenza-like illness (ILI) by autoregressive integrated moving average model (ARIMA).
Jing Yuan, Dan Li
doaj   +1 more source

Modeling of GRACE-Derived Groundwater Information in the Colorado River Basin [PDF]

open access: yes, 2019
Groundwater depletion has been one of the major challenges in recent years. Analysis of groundwater levels can be beneficial for groundwater management.
Ahmad, Sajjad   +3 more
core   +2 more sources

Optimization of ARIMA Forecasting Model using Firefly Algorithm

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019
Time series prediction aims to control or recognize the behavior of the system based on the data in a certain period of time. One of the most widely used method in time series prediction is ARIMA (Autoregressive Integrated Moving Average). However, ARIMA
Ilham unggara   +2 more
doaj   +1 more source

Comparison of Two Hybrid Models for Forecasting the Incidence of Hemorrhagic Fever with Renal Syndrome in Jiangsu Province, China. [PDF]

open access: yesPLoS ONE, 2015
Cases of hemorrhagic fever with renal syndrome (HFRS) are widely distributed in eastern Asia, especially in China, Russia, and Korea. It is proved to be a difficult task to eliminate HFRS completely because of the diverse animal reservoirs and effects of
Wei Wu   +6 more
doaj   +1 more source

Research on the predictive effect of a combined model of ARIMA and neural networks on human brucellosis in Shanxi Province, China: a time series predictive analysis

open access: yesBMC Infectious Diseases, 2021
Background Brucellosis is a major public health problem that seriously affects developing countries and could cause significant economic losses to the livestock industry and great harm to human health.
Mengmeng Zhai   +11 more
doaj   +1 more source

Cloud server aging prediction method based on hybrid model of auto-regressive integrated moving average and recurrent neural network

open access: yesTongxin xuebao, 2021
In view of the nonlinear, stochastic and sudden characteristics of operating environment of cloud server system, a software aging prediction method based on hybrid auto-regressive integrated moving average and recurrent neural network model (ARIMA-RNN ...
Haining MENG   +5 more
doaj   +2 more sources

ARIMA models in load modelling with clustering approach [PDF]

open access: yes2005 IEEE Russia Power Tech, 2005
In distribution system, bus load estimation is complicated because system load is usually monitored at only a few points. As a rule receiving nodes are not equipped with stationary measuring instruments so measurements of loads are performed sporadically. In general, the only information commonly available regarding loads, other than major distribution
Nazarko, Joanicjusz   +2 more
openaire   +2 more sources

Trend Analysis of Civil Aviation Incidents Based on Causal Inference and Statistical Inference

open access: yesAerospace, 2023
The efficient management of aviation safety requires the precise analysis of trends in incidents. While classical statistical models often rely on the autocorrelation of indicator sequences for trend fitting, significant room remains for performance ...
Peng He, Ruishan Sun
doaj   +1 more source

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