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  • Search: subject:"Denoise"
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Subject
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De-noise 2 Denoise 2 Forecasting model 2 Prognoseverfahren 2 Aktienindex 1 Capital income 1 Convoluted Neural Networks 1 Crude oil price prediction 1 Economic indicator 1 Economic significance 1 Financial analysis 1 Finanzanalyse 1 Forecast 1 Hybrid model 1 Image Processing 1 In-sample forecast 1 Kapitaleinkommen 1 Monte Carlo simulation 1 Neural networks 1 Neuronale Netze 1 New technical indicators 1 Oil price 1 Optical Character Recognition 1 Option pricing 1 Out-of-sample forecast 1 Prognose 1 Random vector functional link neural network 1 Rolling window 1 Stock index 1 Theorie 1 Theory 1 Thresholding 1 Time series analysis 1 Variational mode decomposition 1 Wavelet analysis 1 Wirtschaftsindikator 1 Zeitreihenanalyse 1 Ölpreis 1
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Undetermined 4
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Article 4
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 3 Undetermined 1
Author
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Dai, Zhifeng 1 Haven, Emmanuel 1 Kang, Jie 1 Kumar, D. Pradeep 1 Liu, Xiaoquan 1 Niu, Hongli 1 Shen, Liya 1 Shetty, Chetan 1 Sowmya, B.J. 1 Srinivasa, K.G. 1 Xu, Kunliang 1 Zhu, Huan 1
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Published in...
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Energy economics 1 European Journal of Operational Research 1 International Journal of Applied Evolutionary Computation (IJAEC) 1 International review of economics & finance : IREF 1
Source
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ECONIS (ZBW) 2 RePEc 1 Other ZBW resources 1
Showing 1 - 4 of 4
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Denoising or distortion : does decomposition-reconstruction modeling paradigm provide a reliable prediction for crude oil price time series?
Xu, Kunliang; Niu, Hongli - In: Energy economics 128 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10015072677
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New technical indicators and stock returns predictability
Dai, Zhifeng; Zhu, Huan; Kang, Jie - In: International review of economics & finance : IREF 71 (2021), pp. 127-142
Persistent link: https://www.econbiz.de/10012627766
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Efficient Image Denoising for Effective Digitization using Image Processing Techniques and Neural Networks
Sowmya, B.J.; Srinivasa, K.G.; Kumar, D. Pradeep; … - In: International Journal of Applied Evolutionary … 7 (2016) 4, pp. 77-93
them. Here the authors aim to develop a model that helps denoise images of such documents retaining on the text. The …
Persistent link: https://www.econbiz.de/10012042707
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De-noising option prices with the wavelet method
Haven, Emmanuel; Liu, Xiaoquan; Shen, Liya - In: European Journal of Operational Research 222 (2012) 1, pp. 104-112
Financial time series are known to carry noise. Hence, techniques to de-noise such data deserve great attention …. Wavelet analysis is widely used in science and engineering to de-noise data. In this paper we show, through the use of Monte …
Persistent link: https://www.econbiz.de/10010597694
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