A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction

Overview of attention for article published in Journal of Big Data, January 2021

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dimensions_citation: 54 Dimensions

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Summary X Dimensions citations

So far, Dimensions has found 54 publications that cite this research output.

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The most recent citing publications are shown below. View all 54 publications that cite this research output on Dimensions.

Revolutionizing Stock Market Predictions

Book chapter (April 2024)

A novel deep dual self-attention and Bi-LSTM fusion framework for Parkinson’s disease prediction using freezing of gait: a biometric application

Article in Multimedia Tools and Applications (March 2024)

Stock market prediction with political data Analysis (SP-PDA) model for handling big data

Article in Multimedia Tools and Applications (March 2024)