Ensuring end-to-end privacy in IoT-based healthcare systems through hyperledger fabric and identity mixer. [PDF]
Nasr Esfahani M +2 more
europepmc +1 more source
Digital Rights Activism in Multilevel Governance
ABSTRACT Multilevel governance (MLG) without a clear hierarchical structure can create power imbalances among various actors, particularly in settings with overlapping jurisdictions and policy areas. This dynamic is especially pronounced in Internet governance, which faces a complex interplay of domestic laws, state interdependence, and heightened ...
Alison Harcourt
wiley +1 more source
Patient Perceptions of Blockchain-Based Health Information Exchange: User-Centered Design Study.
Guse R +7 more
europepmc +1 more source
Robots, ledgers, and RevPAR: a blockchain-enabled AI-robotics conceptual model for sustainable hotel revenue and asset management. [PDF]
Jackson LA.
europepmc +1 more source
(1) A theoretical framework for examining the impact of the CETS on carbon emissions in the LS of the YREB is developed based on Porter's hypothesis and synergy theory. (2) Assessing the Effects of a CETS through DID Modeling. (3) The spatial correlation of carbon emissions within the LS is examined through the development of a SDM.
Zhaoyang Zhao, Chong Ye, Jing Huang
wiley +1 more source
BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction. [PDF]
Mishra S, Alfahidah RA, Alharbi F.
europepmc +1 more source
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
MedLedgerFL: a hybrid blockchain-federated learning framework for secure remote healthcare services. [PDF]
Murala DK +4 more
europepmc +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing. [PDF]
Lella KK, Mallu SRK.
europepmc +1 more source

