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Titlebook: Applications of Block Chain technology and Artificial Intelligence; Lead-ins in Banking, Mohammad Irfan,Khan Muhammad,Muhammad Attique Khan

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發(fā)表于 2025-3-26 23:49:28 | 只看該作者
32#
發(fā)表于 2025-3-27 01:48:18 | 只看該作者
Ghada El-Kot,Sarah Fahmy,Mike Leations face many difficulties in implementing it and it become imperative for them to surpass theses difficulties in order to satisfy their customers. The present chapter is focused on describing the apparent advantages and negative consequences of block chain technology after amalgamating it with ban
33#
發(fā)表于 2025-3-27 08:55:34 | 只看該作者
34#
發(fā)表于 2025-3-27 10:29:35 | 只看該作者
https://doi.org/10.1057/9780230512399everaging blockchain technology Decentralized finance has the capacity to revolutionize the traditional organization of financial systems, introducing new avenues for innovation and entrepreneurship. Moreover, it provides an opportunity to explore the advantages and disadvantages inherent in decentr
35#
發(fā)表于 2025-3-27 15:52:22 | 只看該作者
https://doi.org/10.1057/9780230512399onditions as a risk reduction strategy to protect investor. As for Islamic banking, the result of the current study?can be used as a reference to assess the behavior of investors so that companies can achieve industrial growth. The novelty of this research is the research method, which compares trad
36#
發(fā)表于 2025-3-27 19:23:29 | 只看該作者
37#
發(fā)表于 2025-3-27 22:50:06 | 只看該作者
38#
發(fā)表于 2025-3-28 02:23:58 | 只看該作者
Winning the IT Team’s Processesred by individual researchers, followed by two researchers. The surge in the number of publications can be attributed to advancements in the field of AI and better awareness of it among participants in the financial sector. The study concludes that AI has significant potential in the financial secto
39#
發(fā)表于 2025-3-28 06:16:44 | 只看該作者
40#
發(fā)表于 2025-3-28 11:48:15 | 只看該作者
Winning the IT Team’s Structureditional finance approaches may overlook. Furthermore, we examine various ML and AI applications in finance, such as financial forecasting, risk management, algorithmic trading, fraud detection, and personalized financial recommendations. We delve into the specific techniques and algorithms used in
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