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Big data analytics for intelligent manufacturing systems: A review
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …
amount of data from manufacturing systems has been increasing rapidly. With massive …
Machine learning as an early warning system to predict financial crisis
This paper studies on “Early Warning Systems”(EWS) by investigating possible contagion
risks, based on structured financial networks. Early warning indicators improve standard …
risks, based on structured financial networks. Early warning indicators improve standard …
An improved wavelet–ARIMA approach for forecasting metal prices
Metal price forecasts support estimates of future profits from metal exploration and mining
and inform purchasing, selling and other day-to-day activities in the metals industry. Past …
and inform purchasing, selling and other day-to-day activities in the metals industry. Past …
Crude oil price analysis and forecasting using wavelet decomposed ensemble model
To improve the forecasting accuracy of crude oil price with deeper understanding of the
market microstructure, this paper proposes a wavelet decomposed ensemble model. The …
market microstructure, this paper proposes a wavelet decomposed ensemble model. The …
[HTML][HTML] Forecasting CPI inflation under economic policy and geopolitical uncertainties
Forecasting consumer price index (CPI) inflation is of paramount importance for both
academics and policymakers at central banks. This study introduces the filtered ensemble …
academics and policymakers at central banks. This study introduces the filtered ensemble …
Modified dam deformation monitoring model considering periodic component contained in residual sequence
D Yuan, B Wei, B **e, Z Zhong - Structural Control and Health …, 2020 - Wiley Online Library
Considering that dam deformation and its influencing factors present complex nonlinearities,
a modified deformation monitoring model is proposed in this study. On the basis of the …
a modified deformation monitoring model is proposed in this study. On the basis of the …
Price forecasting in the precious metal market: A multivariate EMD denoising approach
The precious metal markets are subject to the influence of complicated factor characterized
by the interrelationship and nonlinearity with the short burst of noise data components. In …
by the interrelationship and nonlinearity with the short burst of noise data components. In …
Stock movement prediction: A multi‐input LSTM approach
P Tang, C Tang, K Wang - Journal of Forecasting, 2024 - Wiley Online Library
Generally, the nonlinear and non‐stationary financial time series becomes an obstacle in
the process of stock movement prediction. But the recent theories of machine learning and …
the process of stock movement prediction. But the recent theories of machine learning and …
Forecasting dry bulk freight index with improved SVM
Q Han, B Yan, G Ning, B Yu - Mathematical Problems in …, 2014 - Wiley Online Library
An improved SVM model is presented to forecast dry bulk freight index (BDI) in this paper,
which is a powerful tool for operators and investors to manage the market trend and avoid …
which is a powerful tool for operators and investors to manage the market trend and avoid …
A wavelet approach for factor‐augmented forecasting
It has been acknowledged that wavelets can constitute a useful tool for forecasting in
economics. Through a wavelet multi‐resolution analysis, a time series can be decomposed …
economics. Through a wavelet multi‐resolution analysis, a time series can be decomposed …