|
|
|
|
|
Carlos Alfonso Zafra-Mejía, Hugo Alexander Rondón-Quintana and Carlos Felipe Urazán-Bonells
The objective of this paper is to use autoregressive, integrated, and moving average (ARIMA) and transfer function ARIMA (TFARIMA) models to analyze the behavior of the main water quality parameters in the initial components of a drinking water supply sy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kadria Ezzine, Joseph Di Martino and Mondher Frikha
We present an any-to-one voice conversion (VC) system, using an autoregressive model and LPCNet vocoder, aimed at enhancing the converted speech in terms of naturalness, intelligibility, and speaker similarity. As the name implies, non-parallel any-to-on...
ver más
|
|
|
|
|
|
|
|
|
|
|
R.A. Elchenkov,M.E. Dunaev,K.S. Zaytsev
Pág. 62 - 69
The purpose of this work is to study methods for predicting the values of time series when processing streaming data in distributed systems in real time. To do this, the authors propose a modification of the autoregressive model with a given AR order by ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abas Omar Mohamed
The study investigated the empirical role of past values of Somalia?s GDP growth rates in its future realizations. Using the Box?Jenkins modeling method, the study utilized 250 in-sample quarterly time series data to forecast out-of-the-sample Somali GDP...
ver más
|
|
|
|
|
|
|
|
|
|
|
Taghreed Alghamdi, Khalid Elgazzar and Taysseer Sharaf
Hierarchical Bayesian models (HBM) are powerful tools that can be used for spatiotemporal analysis. The hierarchy feature associated with Bayesian modeling enhances the accuracy and precision of spatiotemporal predictions. This paper leverages the hierar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qasem Abu Al-Haija
The determination of electric energy consumption is remarked as one of the most vital objectives for electrical engineers as it is highly essential in determining the actual energy demand made on the existing electricity supply. Therefore, it is importan...
ver más
|
|
|
|
|
|
|
|
|
|
|
Olga Rumyantseva, Andrey Sarantsev and Nikolay Strigul
Forecasting of forest dynamics at a large scale is essential for land use management, global climate change and biogeochemistry modeling. We develop time series models of the forest dynamics in the conterminous United States based on forest inventory dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aqsa Shakeel, Toshihisa Tanaka and Keiichi Kitajo
Neural oscillations are vital for the functioning of a central nervous system because they assist in brain communication across a huge network of neurons. Alpha frequency oscillations are believed to depict idling or inhibition of task-irrelevant cortica...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ismail Shah, Hasnain Iftikhar and Sajid Ali
The increasing shortage of electricity in Pakistan disturbs almost all sectors of its economy. As, for accurate policy formulation, precise and efficient forecasts of electricity consumption are vital, this paper implements a forecasting procedure based ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fuzuli Aliyev
Market efficiency has been analyzed through many studies using different linear methods. However, studies on financial econometrics reveal that financial time series exhibit nonlinear patterns because of various reasons. This paper examines market effici...
ver más
|
|
|
|
|
|