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![7 Central Bank Digital Currency [18]]](profile/Mamta-Mittal/publication/353296388/figure/fig2/AS:1056286795890698@1628849805485/Central-Bank-Digital-Currency-18.png)
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![Fig. 1.7 Central Bank Digital Currency [18]]](profile/Mamta-Mittal/publication/353296388/figure/fig2/AS:1056286795890698@1628849805485/Central-Bank-Digital-Currency-18_Q320.jpg)
![Fig. 1.8 Data flow in blockchain-powered healthcare systems [23]](profile/Mamta-Mittal/publication/353296388/figure/fig3/AS:1056286795890699@1628849805524/Data-flow-in-blockchain-powered-healthcare-systems-23_Q320.jpg)
![Fig. 1.9 Statistical forecast of blockchain in healthcare market [32]](profile/Mamta-Mittal/publication/353296388/figure/fig4/AS:1056286795911169@1628849805566/Statistical-forecast-of-blockchain-in-healthcare-market-32_Q320.jpg)
![Fig. 1.11 Music supply chain before digital media [59]](profile/Mamta-Mittal/publication/353296388/figure/fig5/AS:1056286795919360@1628849805632/Music-supply-chain-before-digital-media-59_Q320.jpg)
The enthusiasm for blockchain innovation has been expanding since the thought was authored in 2008. Blockchain refers to the system where records of transactions made in cryptocurrency are maintained. The reason behind the eagerness for blockchain is its key credits that give safety, ambiguity, and information uprightness with no third-party organi...
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... Meanwhile, non-permanent loan is a type of soft loan that is given to SMEs on a rotating basis. Figure 1 describes a hypothetical model that examines the relationship between soft loans given to SMEs and the performance of SMEs [32]. ...
SMEs as one of the pillars of the economy have
several limitations and financial limitations are the biggest
obstacle to the development of SMEs. As an effort to improve
the performance of SMEs, the government provides soft loans
to make it easier for SMEs to get financial assistance. Problems
arise when SMEs cannot guarantee the use of soft loans for
business development needs but for other purposes that are not
in accordance with the agreement with soft lenders. Thus, a
mechanism is needed to ensure that soft loans are used in
accordance with the designation specified in the agreement.
Block chain is a technology that has the ability to create
transactions with high transparency and security. This
research aims to facilitate the process of providing soft loans
for SMEs. The research method uses a qualitative approach
through literature review to identify problems and alternative
solutions. The result of this research is a blockchain model for
improving the efficiency of soft loans for SMEs
Keywords—SMEs, Soft Loans, Block Chain
... Due to the increasing trading volume of Dogecoin in 2021, there arises a need for development of an algorithm for efficient and accurate prediction of its prices. Several magazines such as The Express UK [42] have mentioned and discussed the importance and scope of dogecoin [43][44][45]. The methodologies discussed in table 1 summarize several different models for Bitcoin. ...
INTRODUCTION: Cryptocurrency is a digital, decentralized form of money based on blockchain technology, which makes it the most secure method of making a transaction. There has been a huge increase in the number of cryptocurrencies in the past few years. Cryptocurrencies such as Bitcoin and Ethereum have become an interesting subject of study in fields such as finance. In 2021, over 4,000 cryptocurrencies are already listed. There are many past studies that focus on predicting the price of cryptocurrencies using machine learning, but the majority of them only focused on Bitcoin. Moreover, the majority of the models implemented for price prediction only used the historical market prices, and do not utilize social signals related to the cryptocurrency. OBJECTIVES: In this paper, we propose a deep learning model for predicting the prices of dogecoin cryptocurrency. The proposed model is based on historical market price data as well as social trends of Dogecoin cryptocurrency. METHODS: The market data of Dogecoin is collected from Kaggle on the granularity of a day and for the same duration the verified tweets have also been collected with hashtags “Dogecoin” and “Doge”. Experimental results show that the proposed model yields a promising prediction of future price of Dogecoin, a cryptocurrency that has recently become the talk of the town of the crypto market. RESULTS: Minimum achieved RMSE in predicted price of Dogecoin was 0.02 where the feature vector consisted of OCVP (Open, Close, Volume, Polarity) values from combined dataset. RESULTS: Experimental results show that the proposed approach performs efficiently.
