Results 51 to 60 of about 145,010 (267)
Indonesian Government Revenue Prediction Using Long Short-Term Memory
InspirationGovernment revenue plays an important role in achieving national development goals. In the context of optimal state treasury management, accurate forecasts of government revenue are needed so that cash can be utilized optimally for the coming period ...
Mahmud +4 more
doaj +1 more source
19-year remotely sensed data in the forecast of spectral models of the environment
International Journal of Digital Earth, 2021 The aims of this study were: i) to compare no-till areas in two municipalities located in different regions of Brazil, along with the influence on CO2Flux and GPP, and ii) to verify the difference between environmental factors followed by the trends of ...
Fernando Saragosa Rossi +8 more
doaj +1 more source
Forecasting airport passenger traffic: the case of Hong Kong International Airport [PDF]
, 2011 Hong Kong International Airport is one of the main gateways to Mainland China and the major aviation hub in Asia. An accurate airport traffic demand forecast allows for short and long-term planning and decision making regarding airport facilities and ...
Balli, Hatice Ozer +2 more
core
Journal of Forecasting, EarlyView.ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Community Detection and Growth Potential Prediction from Patent Citation Networks
, 2019 The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practical patent scoring arises.
Carreón, Elisa Claire Alemán +8 more
core +1 more source
Journal of Forecasting, EarlyView.ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
BarekengStock potentially yields higher returns than other investments, but is riskier due to volatile prices. To minimize the risk of loss, investors can forecast the stock price to help in deciding whether to buy, sell, or hold the stock.
Edwin Setiawan Nugraha, Celine Alvina
doaj +1 more source
Statistical analysis of Hasegawa - Wakatani turbulence [PDF]
, 2017 Resistive drift wave turbulence is a multipurpose paradigm that can be used to understand transport at the edge of fusion devices. The Hasegawa-Wakatani model captures the essential physics of drift turbulence while retaining the simplicity needed to ...
Anderson, Johan, Hnat, Bogdan
core +2 more sources
Intraday Functional PCA Forecasting of Cryptocurrency Returns
Journal of Forecasting, EarlyView.ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Temperature field forecast in concrete dam with the use of ARIMA models and the finite element method [PDF]
, 2016 This article describes a forecasting method, with the application of statistical models Auto-Regressive Integrated Moving Average (ARIMA) and a heat conduction model to forecast the temperature field in a buttress block of Itaipu dam. Monthly temperature
Aracayo, Luis Antonio Sucapuca +6 more
core