ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan +10 more
wiley +1 more source
Security enhancement using scalable Blockchain-based Multi-Factor Authentication (BMFA). [PDF]
Rahman F +6 more
europepmc +1 more source
Robust ISAC based framework for location estimation and target detection in 6G networks. [PDF]
Soni L +3 more
europepmc +1 more source
Secure TPMS Data Transmission in Real-Time IoV Environments: A Study on 5G and LoRa Networks. [PDF]
Niranjan DK, Supriya M, Tiberti W.
europepmc +1 more source
Mobile Network Softwarization: Technological Foundations and Impact on Improving Network Energy Efficiency. [PDF]
Lorincz J, Kukuruzović A, Begušić D.
europepmc +1 more source
A hierarchical neuromorphic multi agent framework for energy aware and secure 6G resource optimization using Neuro6G agent. [PDF]
Al Nuaim A, Qayyum J.
europepmc +1 more source
An intelligent IoT-machine learning framework for wildfire detection and prediction using a hybrid RF-XGB model. [PDF]
Radhi AA, Ibrahim AA.
europepmc +1 more source
Kevlar is traditionally modeled as a rigid‐rod polymer, yet rheological behavior deviates from this assumption. The review introduces a novel “twist‐tie” entanglement theory for aramid polymer chains in the nematic liquid crystal state, providing a molecular explanation for deviations from rigid‐rod models. Understanding twist‐tie entanglement dynamics
Emma Egli +3 more
wiley +1 more source
Artificial intelligence for monitoring hand hygiene compliance in healthcare settings: A scoping review. [PDF]
Lin X, Lv Y, Xiang Q, Cai M, Wang P.
europepmc +1 more source
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source

