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Geng, C., Xu, Y., & Metawa, N. (2021). Intelligent financial decision support system based on data mining. Journal of Intelligent and Fuzzy Systems (2), 1–10.Search in Google Scholar
Ren, J. (2021). Research on financial investment decision based on artificial intelligence algorithm. IEEE Sensors Journal, 21.Search in Google Scholar
Gallego-Gomez, C., & De-Pablos-Heredero, C. (2020). Artificial intelligence as an enabling tool for the development of dynamic capabilities in the banking industry. International Journal of Enterprise Information Systems, 16(3), 20–33.Search in Google Scholar
Mccrae, J. P., Mohanty, P., Narayanan, S., Pereira, B., & Sarkar, R. (2021). Conversation concepts: understanding topics and building taxonomies for financial services. Information (Switzerland), 12(4), 160.Search in Google Scholar
Sabry, F., Labda, W., Erbad, A., & Malluhi, Q. M. (2020). Cryptocurrencies and artificial intelligence: challenges and opportunities. IEEE Access, 8, 175840–175858.Search in Google Scholar
Rosati, R., Romeo, L., Goday, C. A., Menga, T., & Frontoni, E. (2020). Machine learning in capital markets: decision support system for outcome analysis. IEEE Access, PP(99), 1–1.Search in Google Scholar
Yang, G. (2022). Optimization of university financial services using the blockchain technology. Scientific programming (Pt.10), 2022.Search in Google Scholar
Song, Y., Sun, C., Peng, Y., Zeng, Y., & Sun, B. (2022). Research on multi-dimensional trust evaluation mechanism of fintech based on blockchain. IEEE Access, PP, 1–1.Search in Google Scholar
Ferreira, F. G. D. C., Gandomi, A. H., & Cardoso, R. T. N. (2021). Artificial intelligence applied to stock market trading: a review. IEEE Access, PP(99), 1–1.Search in Google Scholar
Vilela, L. F. S., Leme, R. C., Pinheiro, C. A. M., & Carpinteiro, Otávio A. S. (2019). Forecasting financial series using clustering methods and support vector regression. Artificial Intelligence Review, 52.Search in Google Scholar
Zheng, M. (2022). Advanced artificial intelligence model for financial accounting transformation based on machine learning and enterprise unstructured text data. Mobile information systems(Pt.18), 2022.Search in Google Scholar
Treleaven, P., Brown, R. G., & Yang, D. (2017). Blockchain technology in finance. Computer, 50(9), 14-17.Search in Google Scholar
Tran, T. A., Han, K., & Yun, S. (2018). Factors influencing the intention to use mobile payment service using fintech systems: focused on vietnam. Asia Life Sciences, 1731–1747.Search in Google Scholar
Tiwari, P. K., Rani, G., Dhaka, V. S., Sonam, & Pandey, U. (2021). Intelligent and adaptive web page recommender system. International journal of web services research(4), 18.Search in Google Scholar
Jing, A. (2023). The technology and digital financial risk management model using intelligent data processing. Optik, 273, 170410-.Search in Google Scholar
Xuan, F. (2020). Regression analysis of supply chain financial risk based on machine learning and fuzzy decision model. Journal of Intelligent and Fuzzy Systems, 40(1), 1–11.Search in Google Scholar
Guo, Y. (2021). Cns: interactive intelligent analysis of financial management software based on apriori data mining algorithm. International Journal of Cooperative Information Systems.Search in Google Scholar
Lin, A. P. (2018). Using intelligent computing and data stream mining for behavioral finance associated with market profile and financial physics. Applied Soft Computing, 68.Search in Google Scholar
Kong, X., & Luo, C. (2022). A novel convlstm with multifeature fusion for financial intelligent trading. International journal of intelligent systems.Search in Google Scholar
Gu, N. (2021). Digital financial inclusion risk prevention based on machine learning and neural network algorithms. Journal of Intelligent and Fuzzy Systems, 1–16.Search in Google Scholar
Yang, K., & Zhang, L. (2019). Research on credit risk evaluation of online supply chain finance with triangular fuzzy information. Journal of Intelligent and Fuzzy Systems, 37(2), 1–8.Search in Google Scholar
Chi, H., Lu, Y., Liao, B., Xu, L., & Liu, Y. (2021). An optimized quantitative argumentation debate model for fraud detection in e-commerce transactions. IEEE intelligent systems(36-2).Search in Google Scholar