Results 1 to 10 of about 153,678 (301)

Evaluating Cardiovascular Disease (CVD) risk scores for participants with known CVD and non-CVD in a multiracial/ethnic Caribbean sample [PDF]

open access: yesPeerJ, 2020
Background Cardiovascular Disease (CVD) risk prediction models have been useful in estimating if individuals are at low, intermediate, or high risk, of experiencing a CVD event within some established time frame, usually 10 years.
Amalia Hosein   +3 more
doaj   +2 more sources

Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing [PDF]

open access: yes, 2021
Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in ...
A. Rahman, Nur H.   +5 more
core   +1 more source

PENERAPAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) UNTUK PREDIKSI BILANGAN SUNSPOT

open access: yesBarekeng, 2021
Peristiwa magnetik pada matahari ditandai dengan salah satu tanda yaitu munculnya sunspot atau bintik matahari. Sunspot terletak di fotosfer matahari yang memiliki warna lebih gelap dari pancaran sekitarnya.
Felia Dria Yuliawanti   +4 more
doaj   +1 more source

Peramalan Harga Emas Saat Pandemi Covid-19 Menggunakan Model Hybrid Autoregressive Integrated Moving Average - Support Vector Regression

open access: yesJambura Journal of Mathematics, 2021
ABSTRAK Investasi emas merupakan salah satu investasi yang menjadi favorit dimasa pandemi Covid 19 seperti sekarang ini. Hal ini dikarenakan harga emas yang nilainya relatif fluktuatif tetapi menunjukkan tren peningkatan.
Drajat Indra Purnama
doaj   +1 more source

An Application of Hybrid Models for Weekly Stock Market Index Prediction: Empirical Evidence from SAARC Countries

open access: yesComplexity, 2021
The foremost aim of this research was to forecast the performance of three stock market indices using the multilayer perceptron (MLP), recurrent neural network (RNN), and autoregressive integrated moving average (ARIMA) on historical data.
Zhang Peng   +6 more
doaj   +1 more source

Prediction of COVID-19 Data Using an ARIMA-LSTM Hybrid Forecast Model

open access: yesMathematics, 2022
The purpose of this study is to study the spread of COVID-19, establish a predictive model, and provide guidance for its prevention and control. Considering the high complexity of epidemic data, we adopted an ARIMA-LSTM combined model to describe and ...
Yongchao Jin   +6 more
doaj   +1 more source

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

Forecasting the Spreading of COVID-19 across Nine Countries from Europe, Asia, and the American Continents Using the ARIMA Models

open access: yesMicroorganisms, 2020
Since mid-November 2019, when the first SARS-CoV-2-infected patient was officially reported, the new coronavirus has affected over 10 million people from which half a million died during this short period. There is an urgent need to monitor, predict, and
Ovidiu-Dumitru Ilie   +5 more
doaj   +1 more source

APPLICATION OF TIME SERIES ANALYSIS IN FORECASTING COAL PRODUCTION AND CONSUMPTION IN THE PHILIPPINES

open access: yesICTACT Journal on Soft Computing, 2022
Energy is the backbone of a country’s economic and technological development. For a country to be competitive in the global market and secure sustainable development, energy must be efficiently used.
Samuel John E. Parreño
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

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