SecuFL-IoT: an adaptive privacy-preserving federated learning framework for anomaly detection in smart industrial networks. [PDF]
Alqazzaz A.
europepmc +1 more source
Can Central Bank Digital Currencies Promote the Internationalization of Currencies?
ABSTRACT Using multinational data (2000–2023), this study employed system GMM and fixed‐effects models to examine CBDC's impact on currency internationalization through a framework measuring ‘market acceptance’ and ‘policy drive.’ The results indicated that CBDC advancement significantly promotes currency internationalization.
Haodong Gu
wiley +1 more source
AnomLocal: A hybrid local-global anomaly detection model for network security using federated learning. [PDF]
Alamro S.
europepmc +1 more source
Key Points Low‐Mg calcite RM developed for in situ microanalysis applications in palaeoclimatology (δ18O, δ13C; Mg, Sr m/m). New data for calcite CRM IAEA‐603 (δ18O, δ13C by SIMS and GS‐IRMS; Mg m/m). No detectable IMF effect of Mg on SIMS δ18O determinations for mass fractions < 3650 μg g‐1.
Andreas T. Hertwig +13 more
wiley +1 more source
Securing IoT networks: a machine learning approach for detecting unusual traffic patterns. [PDF]
Sarwar N +3 more
europepmc +1 more source
ABSTRACT “I felt as if my body was being occupied by the factory.” The words of one woman working in Turkey's heavy industry were repeated in many accounts, capturing how industrial infrastructures calibrated to male norms press directly into women's bodies.
Esra Kasap +2 more
wiley +1 more source
Migration and Evolution of Geothermal Fluids in Karst Reservoirs and Geothermal Energy Development Model: A Case Study. [PDF]
Pei S +6 more
europepmc +1 more source
Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley +1 more source
Fed-DTCN: A Federated Disentangled Learning Framework for Unsupervised Zero-Day Anomaly Detection in IoT with Semantic-Aware Augmentation. [PDF]
Khan MA, Khalid O, Rais RNB.
europepmc +1 more source
ABSTRACT The recent rise of Generative Artificial Intelligence (GenAI) is fundamentally changing the way businesses operate, with many now investing heavily in this technology. However, businesses are still exploring ways to extract value from GenAI and develop organisational capabilities.
Ashish Jagdish Sharma +4 more
wiley +1 more source

