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Bitcoin in the last decade, has become increasingly popular as a form of electronic currency. This paper aims to review the status and visual map position of research in the internationally Bitcoin studies indexed Scopus that used a bibliometric positioning overview. The research was carried out using bibliometric techniques. Data analysis as well as visualization utilizing VOS Viewer program and the Scopus function for analyze search results. In this review, the details collected applied to 3,281 documents issued from 2011 through 2019. The study reveals that Bouri, E. and Chinese Academy of Sciences, Studies were the most active individual scientists and affiliated institutions in Bitcoin studies. In bitcoin studies, the Computer Science and Lecture Notes in Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics were the most areas of study and dissemination sources. There were one worldwide group maps with collaborative researchers. In order to identify the body of knowledge created from eight years of publication, this study constructed a convergence axis grouping comprising of bitcoin studies: Bitcoin, E-Finance, Blockchain, Privacy, Cybercrime, Computation, and Systems, abbreviated as the theme BFBPCCS. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) has infiltrated nearly every aspect of life. The healthcare industry has become one of the most popular applications for IoT and related technologies like Artificial Intelligence, etc. IoT infrastructures and solutions are used in smart healthcare. By making use of wearable and mobile devices, IoT-based smart healthcare systems have added great value to the healthcare domain. This leads to a significant increase in the use of health data sharing for a more accurateand timely diagnosis. Its mainstream adoption, however, remains a elusive dream. The major drive behind this is ensuring the data and participating entities' security and privacy at all costs. Smart healthcare systemsare at risk to a variety of security flaws and malicious attacks, including data leakage, tampering, forgery, and so on. To address this, green blockchain technology has come to light as a practical way of enhancing data security and privacy for both users as well as data. Through the avalancheof medical information created by e-medical records and other mechanisms based on Information Communication Technology (ICT), a plethora of applications has been discovered usinggreen blockchain in the medicare industry. Conventional healthcare procedures are swiftly adopting present-day technologies in order to make the transition to smart healthcare ecosystems. The main factors driving this transition are theend-user's convenience and user-friendliness. Even with the use of Smart Healthcare Systems (SHS), there are several obstacles in the transparency, security, and safety of data and its consumers. This paper providesa comprehensive overviewof green blockchain's use in the healthcare industry. It also puts forth a green blockchain-based SmartHealthcare Securitystructure to ensure the system's inherent security and integrity. [ABSTRACT FROM AUTHOR]

Lack of transparency and limited access to music for listeners have affected the entire music industry. Since the old music distribution paradigm is extremely centralized and controlled by a limited number of large companies, making new and innovative music production next to impossible. In this paper, we suggest a solution that combines blockchain technology and artificial intelligence to establish a more transparent and egalitarian music industry. Our strategy is the creation of a music NFT marketplace that will employ smart contracts to automate royalty payments to artists while also allowing fans to own a unique piece of music history. Moreover, we employ LSTM-based AI models to create music that can be minted as NFTs and sold on the market. To construct realistic audio waveforms that preserve long-term dependencies in the data, we employ a stack of dilated causal convolutional layers. We assess our model's performance using numerous criteria such as originality, variety, and coherence. The blockchain aspect of the project involves using Ethereum and a range of other tools and services to ensure the secure and efficient trading of music NFTs on the marketplace. The proposed project was able to achieve the desired results using a stack of dilated casual convolutional layers and LSTM layers as compared to other algorithms. [ABSTRACT FROM AUTHOR]

Higher Education Institutions (HEIs) are mandated to create a community extension program because it is one of its significant functions. This literature review about blockchain as a baseline technology for Community Development Program for HEI in Society 5.0 (CDPHEIS 5.0) supports the researchers' previous research "A Community Development Program Framework for Higher Education Institutions in Society 5.0" (CDPFHEIS 5.0). This is the first series of actions conducted after the research to make that framework operational. After thoroughly conducting the study, it was identified that blockchain contributes popularity and functionality to the objective because of its well-known and exciting features. Also, it was assumed that it could be used on other applications such as in CDPHEIS 5.0. The researchers conducted a set of literature reviews for some sixty-two (62) latest published and unpublished journals, books, and articles about blockchain technological applications such as IoT, Big Data, Cloud Computing, Data Management, Data Analysis and Artificial Intelligence. Categorization by using e-forms such as Google Forms or Microsoft Forms were utilized. Finding the initial outcomes of categorization through selection and quality assessment of the data encoded in the e-forms was also performed. Any researcher who needs to review myriads of references can use e-forms such as Google Docs and Microsoft Forms to make categorizing easier. After conducting the literature review, the researchers found this process much easier, saving time for more important steps of the study. Based on the results and analysis conducted, IoT is the blockchain technology that might be integrated alongside blockchain itself to implement CDPHEIS 5.0 to achieve the goals of Society 5.0. [ABSTRACT FROM AUTHOR]

Data is the integration of various AI (AI) algorithms for important features, the online details are scattered everywhere and controlled separately who do not believe in each other, and the use of information in complex Cyberspace. Too fast and hard to authorize or verify. Because of this, it is very difficult to enable data sharing on cyberspace of big data important, and as a matter-of-fact powerful AI. In this paper, we propose Secretary Network, I construction that will keep data safe, computer programming, and sharing within the Internet environment, aimed at a real cyber safe real estate data and thus improve AI with multiple data sources, with to combine three key elements: Block proprietary data sharing guarantee, which allows for reliable data sharing within a large area to make real big data; Creating a reliable cyberspace, based on AI a secure computer platform is used for mass production smart safety rules. A reliable way to exchange the purchase price Security, they provide the way participants can see economic rewards when releasing their data or service, which encourages the sharing of information and thus achieves better AI performance. Moreover, we talk standard usage of Sec Net and its another possible method, as well as analysis its effectiveness from the aspect of network security and economic revenue. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI), Blockchain, and the Internet of Things are all new technologies impacting people's lives. These technologies can change how we communicate, run our businesses, and even how governments work for their people. Artificial intelligence has disrupted the way traditional marketing practices are conducted and changed how business processes are done. Organizations and governments increasingly turn to artificial intelligence (AI) to improve customer experience, operational efficiency, fraud detection, and cyber security. The revolutionary buzzword, artificial intelligence (AI), has transformed our personal and professional lives. Industry 4.0 considers AIadoption significant due to its potential benefits. Since its inception, it has presented several possibilities and difficulties to various businesses. As a result, several AI-powered technologies have been created, and they have the potential to raise significantly living standards while also boosting the economy. This paper has conducted a conducive study of the marketing tools and techniques that adopt AI while looking through the loopholes to suggest howAI can be adopted quickly into the day-to-day lives of the human race. Based on this, it has recommended a course of action for India that entails the development of infrastructure, policies and rules, research and development, and humanresources. It is necessary for all parties involved to gather and address these problems. Infrastructure development, applications in the public sector, policy & regulation, technological development, and human resource development are all key responsibilities of the government. However, with the assistance of business, they may be accomplished effectively. For this study, the authors have employed secondary data. Future empirical studies might be conducted to compare the development of artificial intelligence technology in India to that of other emerging nations. The study is based on secondary data to demonstrate the development of artificial intelligence technology in India and overseas. However, empirical research may be conducted in the future. The writers' original points of view are presented in the article. [ABSTRACT FROM AUTHOR]

The phrase "Fintech" (Financial Technology) refers to software and other cutting-edge technology utilized by companies that offer automated and enhanced financial services. It is a term used to describe a new technology designed to enhance and automate the provision of financial services. With 6,636 FinTech businesses, India has the highest rate of FinTech adoption internationally and is one of the fastest-growing Fintech industries. India has made significant progress in the area of digital payments, recording over 5.7 BN transactions each month in September of this year, amounting to about $2 TN (Total Digital Payments). India will surpass the combined total of the US, UK, and China in terms of real-time online transaction volume in 2020 with 25.5 Bn real-time payments transactions. This survey paper elaborates on different aspects of the Fintech sector in India, and various issues faced by many prominent fintech companies like unbanked population, regulation, technology integration, user experience, etc. It also describes technologies that underpin fintech business models, including blockchain technology, machine learning, artificial intelligence (AI), Cloud computing, the Internet of Things, etc. [ABSTRACT FROM AUTHOR]

The Developments in (AI) and (DLT) presently guide to energetic discussion in practice and academia. AI procedure data to accomplish targets that were earlier thought conceivable only for the humans. Distributed ledger technology has the capacity to create unanimity over information amid a category of contributor in unresolved environment. In present investigation, both technologies that are required in comparable and common systems. So comprise the pattern of safe (DLT) or the formation of federated learning system disseminate across several nodes. It can guide technological confluence, which the previous, has covered the method for the main revolution in (IT). Earlier work culminates numerous potential profits of the confluence of DLT and AI but alone offers a restricted theoretical structure to explain upcoming actual-world amalgamation cases of the both technologies. This investigation mainly aims to distribute by managing systematic earlier works and providing conscientious derivative future investigation chances. This research helps to overcome form the current limitations in the fields of AI and DLT convergence in both technologies. [ABSTRACT FROM AUTHOR]

The Halal industry is no longer solely a religious concern; rather, it is a lucrative business with a comprehensive framework to capture billions of Muslim markets worldwide. The development of Industrial Revolution 4.0 (IR 4.0) has made better governance for Halal quality assurance. This includes the Halal supply chain, with the adoption of technology such as blockchain, cloud computing, and artificial intelligence (Ai) in the Halal industry structure. However, the Halal supply chain is tarnished with controversial issues that shocked the Muslim community in Malaysia. As a result, academicians and industry players were brought forward for better traceability in the Halal supply chain and assurance pipeline. This rapid scoping review attempts to grasp the state-of-the-art blockchain adoption in the Halal supply chain. The rapid scoping review systems rely on Arksey and O'Malley's work [1]. The findings suggest that blockchain research and development in the Halal supply chain are still in their infancy. The issues like traceability, capability and company capacity, awareness, the readiness of the companies, and the government support are among the themes that emerge in the data charting. [ABSTRACT FROM AUTHOR]

Developments in information and communication technologies accelerate digital integration and transformations in the logistics sector, as in all sectors. Electronic data interchange (EDI), one of the first of these digital transformations, is the automatic exchange of predefined and structured data for business purposes between two or more person/organization information systems [1]. EDI contributes positively to performance by providing fast, accurate and reliable transfer of data and files between relevant parties in an international standard structure. EDI technology has an important role in the modernization and higher performance of the logistics sector. In addition, the realization of EDI integration with Industry 4.0 technologies such as the Internet of Things (IoT), big data, block chain, artificial intelligence (AI), smart manufacturing and industrial robots will make a more positive contribution to this performance. In this study, EDI technology used in electronic data and information exchange, a sample EDI application developed for a logistics company with the help of current information technologies and speed performance results obtained by using this application are shared. [ABSTRACT FROM AUTHOR]