Optimum
发表于 2025-3-26 23:57:13
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SYN
发表于 2025-3-27 01:42:56
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GUEER
发表于 2025-3-27 08:35:23
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Digest
发表于 2025-3-27 13:30:33
Fully Homomorphic Encrypted Wavelet Neural Network for Privacy-Preserving Bankruptcy Prediction in Bg models. There are various techniques in PPML such as Secure Multi-Party Computation, Differential Privacy, and Homomorphic Encryption (HE). The techniques are combined with various Machine Learning models and even Deep Learning Networks to protect the data privacy as well as the identity of the us
Pander
发表于 2025-3-27 15:03:15
Tools and Measurement Criteria of Ethical Finance Through Computational Financewe refer to those principles that arose from the 1970s onwards, are proposed to implement socio-environmental values in financial activities, from savings to employment, also in response to the process of financialization of the economy that has removed finance itself from real life of local populat
DEI
发表于 2025-3-27 21:40:35
Data Mining Techniques for Predicting the Non-performing Assets (NPA) of Banks in Indiaallenge for banks. This chapter presents the findings of a formal attempt to explain NPA variations from 2005 to 17. The findings are based on the application of various data mining techniques such as random forest, elastic net regression, and k-NN algorithm to understand the NPAs of banks in India.
MERIT
发表于 2025-3-28 01:08:11
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无法取消
发表于 2025-3-28 02:16:15
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积极词汇
发表于 2025-3-28 08:32:34
Ensemble Deep Reinforcement Learning for Financial Trading in a volatile market. In this thesis, we proposed a couple of ensemble methods that use a few deep reinforcement learning (DRL) architectures to train on dynamic markets and learn complex trading strategies to achieve maximum returns on investments. We proposed three ensemble strategies with three
愤慨一下
发表于 2025-3-28 14:09:56
Bibliometric Analysis of Digital Financial Reportingd mobile devices has resulted in a significant shift in many industries, including banking and finance, from manual to automation activity and from offline to online transactions. This study‘s goal is to examine the literature that has been written about digital financial reporting between 2011 and