Imperative Role of Technology Intervention and Implementation for Automation in the Construction Industry by Amit Srivastava, Sajjaf Jawaid, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Neeraj Priyadarshi, Baseem Khan

“…Cloud-assisted AR/VR, integration of AI with IoT infrastructure, 4D printing, adopting blockchain in the construction industry, and smart robotics are the recommendation addressed in this article.…”
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Comparative Analysis of Machine Learning Techniques for Cryptocurrency Price Prediction by Sara Salehi

“…The significant increase in cryptocurrency trading on digital blockchain platforms has led to a growing interest in employing machine learning techniques for the effective prediction of highly nonlinear and nonstationary data, becoming increasingly popular among both individual and institutional market participants. …”
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Robust Schnorr-based subgroup multi-signature scheme by ZHANG Zhenqi, ZHU Qiuchi, WANG Zhiwei

“…The consensus mechanism has been considered as the core technology of blockchain systems. However, current consensus mechanisms have encountered three issues: low consensus efficiency, low reliability and security, and high computational complexity. …”
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Looking at NFT Art Through the Eyes of Virtual Communities: A Netnographic Analysis by Murat Aytas, Ceren Karaviran

“…With the rapid advancement of technology, the transformation of images into digital codes has enabled computer technologies and their derivatives to be included in the art environment, production, and exhibition methods, as well as traditional tools used in artworks. Blockchain and NFT technology, which emerged because of these developments, merged with art to create a new digital art field. …”
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Cryptocurrency as an investment or speculation: a bibliometric review study by Sakshi Vasudeva

“…Cryptocurrency/Cryptocurrencies, bitcoin have been the base themes along with other crucial issues such as volatility, hedging, COVID-19 pandemic, Ethereum, blockchain, co-integration, portfolio diversification/optimization, spillover, safe haven, investor attention, gold, etc. …”
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Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency by Chen Qiu, Ziang Wu, Haoda Wang, Qinglin Yang, Yu Wang, Chunhua Su

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Fault tolerance in distributed systems using deep learning approaches. by Basem Assiri, Abdullah Sheneamer

“…It serves as the foundation for new trends technologies such as blockchain, the internet of things and others. A distributed system provides fault tolerance and decentralization, where a fault in any component does not result in a whole system failure. …”
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Technology and practice of intelligent governance for financial data security by Peng HOU, Zhixin LI, Fei ZHANG, Xu SUN, Dan CHEN, Yihao CUI, Hanbing ZHANG, Yinan JIN, Hongfeng CHAI

“…In the “14th Five-Year Plan” era, the digitization of the financial industry has entered a phase of deepening and high-quality development.Strengthening Financial Data Security Governance (FDSG) and protecting financial data security have become an objective need and essential requirements for developing national economic security.FDSG utilizes data governance measures as a fundamental tool with a focus on sensitive data to ensure the comprehensive security of the entire lifecycle of financial data.It aims to promote data circulation among financial institutions, activate data value, and facilitate market-oriented allocation of financial data elements.FDSG is increasingly intertwined with big data, artificial intelligence, cloud computing, and blockchain technologies, transforming traditional data security governance into intelligent governance and accelerating the evolution of FDSG towards automation, intelligence, efficiency, and precision.FDSG’s essence, scope, and governance framework were introduced, and the core concepts and critical supporting technologies for the intellectual development of FDSG were elaborated, outlining the roadmap for intelligent governance.With consideration of FDSG’s demands and characteristics of intelligent technologies, vital directions for the practical application of intelligent technologies in FDSG were outlined, including data classification, data traceability, content control, privacy protection, and data twinning.Examples of current intelligent governance practices in banking, securities, and insurance industries were provided.Policy recommendations were proposed in the paper to promote the standardized and intelligent development of FDSG in China’s new era, aiming to foster the sustainable development of financial institutions and industries and ensure a healthy and secure environment for the future.…”
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Bridging theory and practice in peer-to-peer energy trading: market mechanisms and technological innovations by Pravesh Raghoo, Kalim Shah

“…Enabling technologies discussed are Energy Internet, Internet of Things, Artificial intelligence, Blockchain, Communication networks, and battery flexibility. …”
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Development of Nursing Education in Line with Technological Developments in Health Care by Leila Valizadeh, Hossein Nemati

“…Some new technologies include virtual reality stimulation (VR), augmented reality (AR), Metaverse, blockchain technology, the Internet of Things (IoT), and artificial intelligence, which are used to provide opportunities to transfer information, improve learning, and reduce learning problems. …”
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Emerging Technologies Driving Zero Trust Maturity Across Industries by Hrishikesh Joshi

“…The research investigates how artificial intelligence, machine learning, blockchain, quantum computing, and cloud/edge technologies are reshaping the implementation and efficacy of Zero Trust architectures. …”
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Smart Integrated Decentralization Strategies of Solar Power System in Buildings by Syed Muhammad Kashif Shah, Tanzeel Ur Rasheed, Hafiz Muhammad Ali

“…This system of the utilization of energy would be applied at a local level to achieve the maximum power generation from solar panels through blockchain use of solar systems, especially in regions that have no entrance to traditional power with little odds of getting associated in the next 5-10 years.…”
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Analysis on anonymity and regulation of digital currency transactions based on game theory by Xian ZHANG, Jianming ZHU, Zhiyuan SUI, Shengzhi MING

“…By using technologies such as blockchain, digital currency, as a new type of monetary asset, has been promoting the development of digital economy.Digital currency trading platform plays an important role in the use of private digital currency by digital currency users.Existing digital currency trading platforms may expose users’ privacy and provide illegal elements with the conditions to participate in various abnormal trading behaviors such as“air dropping” events, extortion, fraud, etc.The strong anonymity protection of users by digital currency trading platforms also make it more difficult for regulatory authorities to supervise digital currency transactions.Therefore, the strength of the anonymity protection of users by digital currency trading platforms need to consider not only the privacy protection of users, but also meet the regulatory requirements.For this reason, based on the analysis of the relationship between the digital currency trading platforms and the supervisory departments, an evolutionary game model was established, the digital currency trading platform and the supervisory game model were defined and constructed, and the replication dynamic equation was solved and the balanced solution was obtained according to the income matrix between the digital currency trading platform and the supervisory department.By building a Jacobian matrix, the stability of the evolutionary system under different parameters was analyzed.Besides, the evolutionary stable selection and strategy of the digital currency trading platform and the regulatory authority under different conditions were also analyzed.With Matlab, different strategies of anonymity protection of the digital currency trading platform and different strategies of supervision strategy of the regulatory department were simulated to verify the accuracy of the game model.Based on the results of the simulations, some suggestions on the supervision of digital currency trading platforms are put forward, which provides a theoretical basis for the future supervision of digital currency trading platforms in China.…”
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Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing by Peng Liu, Xinglong Wu, Yanjun Peng, Hangguan Shan, Saïd Mahmoudi, Bong Jun Choi, Haksrun Lao

“…In this paper, we propose a modified combinatorial auction method combined with blockchain and edge computing technologies to organize project scheduling. …”
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Prospects for the creation of national and supranational cryptocurrencies in the BRICS countries by O. M. Makhalina, V. N. Makhalina

“…Cryptocurrency is not recognized as a legal means of payment; in the BRICS countries there are no own, national cryptocurrencies, and only projects of future cryptocurrencies are developed, taking into account the features of the set goalsof economic development and management of cryptocurrency activities; the countries of the Association do not abandon the use of blockchain technology in the field of economy and Finance, as it ensures the openness and security of data storage, the creation of centralized exchanges, the exchange of goods and services; the BRICS countries should be interested in a gradual shift away from dollar dependence. …”
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The Adventure of Artificial Intelligence in Educational Research from the Past to the Present by Deniz Kaya

“…As a thematic change in the studies, there has been an evolution towards new technological developments such as deep learning, machine learning, ChatGPT, chatbots, learning analytics, blockchain, and generative AI. According to the factor analysis conducted on the conceptual structure of AI-related studies in education, it was determined that it explained 48% of the total variability. …”
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PROPOSALS FOR A BROADER APPROACH OF „MISUSE OF DEVICES AND PROGRAMS” PROVISION IN COMBATING CYBER-DEPENDENT AND CYBER-ENABLED CRIMES by Maxim DOBRINOIU

“…Although the offence in art. 6 represents the „mean-crime” in relation with the further commission of the above mentioned crimes against the confidentiality, integrity and availability of computer data and systems („purpose-crimes”), the nowadays Cybercrime phenomenon shows that the misuse of the devices and computer programs actually exceeds the legal boundaries of art. 2 to 5, and (technically) impacts much of the other forms of cyber-related or cyber-enabled offences, especially in the FinTech area, electronic payment, blockchain, cryptocurrency etc. Taking into consideration the proliferation of illegal activities against personal information, confidential data or access credentials, especially the commercialization, especially in Dark Web, of codes, passwords, hacking tools, malware and other present or future cutting-edge system interference technologies, thus posing a great danger to the whole cyber-ecosystem, an improvement of art. 6, and of all the correspondent (related) articles in the special laws or the criminal codes adopted by the signatory countries, would contribute to the creation of an extensive and much comprehensive legal tool in the prevention and efficiently combating cybercrimes.…”
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Proven secure blind adaptor signature scheme based on the SM2 by HU Xiaoming, CHEN Haichan

“…Both the pre-signature and the formal signature are capable of extracting a secret value, which endows AS with atomicity and suggests its promising application within blockchain technologies. However, the lack of anonymity in AS can lead to the exposure of transaction participants' identities, which may limit its application in scenarios demanding high privacy standards, such as electronic payments. …”
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Deepfake detection models and methods in artificial intelligence and ‎insights from media and social culture perspective by Soheil Fakheri, Azamossadat Nourbakhsh, Mohammadreza Yamaghani

“…The primary objective is to analyze various methods for detecting deepfakes and examine their social and legal implications.Methodology: The research categorizes and evaluates four types of deepfake detection methods: deep learning-based, classical machine learning-based, statistical, and blockchain-based approaches. It also assesses the performance of these methods on different datasets.Findings: The findings indicate that deep learning-based methods are more effective in detecting deepfakes compared to other approaches. …”
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THE PHENOMENON OF CRYPTOCURRENCY FROM DIVERSE PERSPECTIVES by Živilė Nemickienė

“…The analysis of articles, news portals, and social media posts related to cryptocurrency and blockchain technologies proofs the manifestation of the stated aspects. …”
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