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Revolutionizing finance with llms: An overview of applications and insights
In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable
advancements and have been applied in diverse fields. Built on the Transformer …
advancements and have been applied in diverse fields. Built on the Transformer …
Blockchain as a service models in the Internet of Things management: Systematic review
D Li, L Deng, Z Cai, A Souri - Transactions on Emerging …, 2022 - Wiley Online Library
Today, blockchain uses a list of various blocks for storing a distributed flat of invariable
information that informs of a set of replicated logical things in the Internet of Things (IoT). In …
information that informs of a set of replicated logical things in the Internet of Things (IoT). In …
Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic?
Utilizing the WHO COVID-19 pandemic statement, we test Bitcoin and Ethereum as safe-
havens for stocks. We find that the two largest cryptocurrencies are suitable as short-term …
havens for stocks. We find that the two largest cryptocurrencies are suitable as short-term …
Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city
We propose a hierarchical blockchain-based platform for ensuring the integrity of smart city
Internet-of-Things (IoT) data and blockchain interoperability in this paper. The well-defined …
Internet-of-Things (IoT) data and blockchain interoperability in this paper. The well-defined …
Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong
Stock prediction via market data analysis is an attractive research topic. Both stock prices
and news articles have been employed in the prediction processes. However, how to …
and news articles have been employed in the prediction processes. However, how to …
Investigating individual privacy within CBDC: A privacy calculus perspective
Abstract Central Bank Digital Currencies (CBDC) are a digital innovation based upon
distributed ledger and smart contract technology. In this paper we examine how potential …
distributed ledger and smart contract technology. In this paper we examine how potential …
An effective blockchain evaluation system based on entropy-CRITIC weight method and MCDM techniques
Public blockchain enables decentralized trust models in distributed systems. The
programmable features such as smart contracts and decentralized applications are …
programmable features such as smart contracts and decentralized applications are …
[HTML][HTML] Deep learning algorithm to predict cryptocurrency fluctuation prices: Increasing investment awareness
Digital currencies such as Ethereum and XRP allow for all transactions to be carried out
online. To emphasize the decentralized nature of fiat currency, we can refer, for example, to …
online. To emphasize the decentralized nature of fiat currency, we can refer, for example, to …
Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis
X Qiao, H Zhu, L Hau - International Review of Financial Analysis, 2020 - Elsevier
This article examines the co-movement relationship among representative cryptocurrencies
from the perspectives of returns and volatility. Wavelet coherence and the correlation …
from the perspectives of returns and volatility. Wavelet coherence and the correlation …
How perceptions of information privacy and security impact consumer trust in crypto-payment: an empirical study
The ever-increasing acceptance of cryptocurrencies has fueled applications beyond
investment purposes. Crypto-payment is one such application that can bring radical …
investment purposes. Crypto-payment is one such application that can bring radical …