A blockchain-based privacy-preserving and access-control framework for electronic health records management

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: 83(36), P. 84195 - 84229

Published: March 19, 2024

Language: Английский

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Enhancing 5G Antenna Manufacturing Efficiency and Reliability through Blockchain and Smart Contract Integration: A Comprehensive AHP Analysis

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 2507 - 2507

Published: March 15, 2024

This study pioneers the enhancement of 5G antenna manufacturing efficiency and reliability by integrating blockchain smart contract technologies, supported an in-depth Analytic Hierarchy Process (AHP) analysis. At heart our innovation lies blockchain-based SER-M (B-SER-M) model, which delineates ‘Subject’, ‘Environment’, ‘Resources’ as crucial factors in process. Our refined AHP analysis reveals ‘Subject’ paramount factor, with a pivotal influence weight 0.465, underscoring its significance elevating production reliability. The integration technology facilitates impeccable record-keeping tracking at each stage, thereby bolstering data integrity enhancing traceability. Furthermore, incorporation contracts streamlines operations automating processes, enabling rapid identification resolution issues. These technological advancements not only significantly elevate but also markedly improve quality control across production. enhanced results demonstrate formidable potential cutting-edge technologies manufacturing, presenting solid model for sustaining industry competitiveness increasingly digital interconnected realm. contributions lay groundwork transformative practices, setting new benchmark

Language: Английский

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Knowledge, attitude and practice towards blockchain potential for digital marketing: scale development and validation

European Journal of Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Purpose This study aims to explore blockchain potential for digital marketing (BlkChn-Mk-KAP) by developing and validating a measurement model assessing the constructs of knowledge, attitude practice (KAP) related technology in marketing. Design/methodology/approach A four-study process was used. The first reviewed literature develop pool possible items. Using exploratory factor analysis reliability assessments, Study 2 ( n = 162) investigated dimensionality items developed 1. factorial structure from validated 3 204), invariance assessed using covariance-based structural equation modelling (CB-SEM). Finally, 4 203), predictive validity BlkChn-Mk-KAP tested CB-SEM approach, testing its correlations with perceived usefulness Findings findings indicate that comprises three-dimensional multi-item scales: practice. Research limitations/implications introduces promising examine blockchain’s role authors acknowledge sampling limitation this research. To enhance generalisability findings, future research should expand different groups, including generation, gender age. In addition, further exploration explicit links between attitudes subsequent performance is warranted. Practical implications Educating employees about technology’s unique features can shape favourable stimulate utilisation blockchain-enabled technologies offer reliable valid instrument benchmark marketers’ KAP blockchain-powered as they implement gain competitive advantage. Social helps adopt sustainable practices ensuring wellbeing key stakeholders. Originality/value conceptualisation model, BlkChn-Mk-KAP, evaluate KAPs among professionals.

Language: Английский

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Intention to Use Cryptocurrencies for Business Transactions: The Case of North Carolina

Journal of risk and financial management, Journal Year: 2025, Volume and Issue: 18(2), P. 58 - 58

Published: Jan. 27, 2025

Financial technologies and payment applications have revolutionized money flow recently, with cryptocurrencies offering decentralization, though still limited in transactional use. This study investigates the factors influencing use of for business transactions North Carolina (NC). exploratory research utilizes an extended technology acceptance model (TAM) using survey data collected from 228 residents applying Partial Least Squares Structural Equation Modeling (PLS-SEM) to find relationship between independent dependent variables. Our results indicate that perceived usefulness, social influence, personal innovativeness significantly impact users’ intentions adopt as a medium exchange. A surprising finding is ownership has negative effect on intention cryptos transactions. The findings imply regulators cryptocurrency issuers should make system more useful, take full advantage media promote cryptos, encourage crypto holders their intended utility rather than just speculative instruments.

Language: Английский

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The Use of Blockchain Technology and Artificial Intelligence in Cryptocurrency and Medical Technology

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 147 - 184

Published: Feb. 21, 2025

The purpose of this research was to conduct a comprehensive review artificial intelligence and blockchain technology in advancing medical cryptocurrency. This study used desktop literature approach on the latest peer-reviewed journal articles technology. In order achieve this, can solve current AI problems offer different IoT nodes safe resource data sharing. Blockchain power marketplaces for components decentralised coordination platforms. As result, adoption reaches previously unheard-of level addresses safety concerns as well creating alternative economies currencies now known cryptocurrencies. has led growth intelligence, built capabilities address issues security, access, building new markets at an even faster scale than ever before.

Language: Английский

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Machine Learning for Bitcoin Price Forecasting Using Kline and Averaged Bars Candlesticks

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 217 - 232

Published: Feb. 28, 2025

This paper investigates the predictive performance of three machine learning regressors—Random Forest, Light Gradient Boosting Machine, and k-Nearest Neighbors—for forecasting Bitcoin's next-step log returns across multiple intervals (5, 10, 15, 30 mins, 1h). By leveraging Japanese averaged bars (Heikin-Ashi) candlestick data in conjunction with traditional OHLC features, study highlights influence smoothing techniques on accuracy. Empirical results indicate that Random Forest LightGBM outperform kNN regressor, underscoring advantages ensemble methods for capturing complex price movements. Furthermore, candlesticks exhibit consistently better relative to Heikin-Ashi candlesticks. These findings underscore importance preprocessing time window selection refining model reliability suggest directions future research deep architectures, advanced feature engineering, integration additional technical indicators enhance cryptocurrency models.

Language: Английский

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MediBlock

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 245 - 272

Published: March 28, 2025

Electronic Health Records (EHRs) contain vital patient health information, but their secure and efficient management remains a challenge. Blockchain technology has the potential to resolve these issues by providing decentralised, secure, immutable EHR ledger. This paper investigates use of blockchain for administration proposes framework implementation blockchain-based system. Our proposed architecture consists decentralised network nodes storing sharing EHRs, smart contracts enforcing access control consent management, consensus algorithm guaranteeing integrity validity EHRs. We discuss prospective advantages using administration, such as increased security, privacy, interoperability, well obstacles that must be overcome ensure successful

Language: Английский

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Blockchain-enabled secured supply chain for smart cities: A systematic review on architecture, technology, and service management

Peer-to-Peer Networking and Applications, Journal Year: 2025, Volume and Issue: 18(4)

Published: May 15, 2025

Language: Английский

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R-GCN: a residual-gated recurrent unit convolution network model for anomaly detection in blockchain transactions

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: 83(40), P. 87527 - 87551

Published: March 16, 2024

Language: Английский

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TempChain: a blockchain scheme for telehealth data sharing between two blockchains using property mapping function

The Journal of Supercomputing, Journal Year: 2023, Volume and Issue: 79(13), P. 14808 - 14826

Published: April 11, 2023

Language: Английский

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