Design and Implementation of an Off-Grid Smart Street Lighting System Using LoRaWAN and Hybrid Renewable Energy for Energy-Efficient Urban Infrastructure. [PDF]
Vadi S.
europepmc +1 more source
Neural Network–Assisted Metasurface Retroreflector With Wide‐Angle Adaptivity
This work proposes a wide‐angle, multi‐polarization, self‐sensing, and self‐adaptive intelligent metasurface retroreflector, with a planar profile and ultrathin thickness. By integrating a pre‐trained artificial neural network (ANN), the metasurface retroreflector can recognize the incident angle and promptly adapt to changes in the incoming wave.
Jing Ning +7 more
wiley +1 more source
Stochastic geometry analysis of UAV-assisted networks with probabilistic UAV activation. [PDF]
Selim MM.
europepmc +1 more source
Dynamic Multifunctional Metasurfaces Based on Passive Cascade Structure
A dynamic multifunctional metasurface is proposed in this paper. Unlike mainstream multifunctional metasurface based on programmable metasurfaces, it consists of two passive metasurfaces, presenting a significant cost advantage. By controlling the displacement, different functions such as beam steering, focusing, and OAM wave generation can be realized
Xiangming Wu +5 more
wiley +1 more source
Next generation AI powered framework for autonomous energy optimization and real time anomaly detection in IoT driven wireless sensor networks. [PDF]
Parameswari M, P N, Jeya Malar R.
europepmc +1 more source
The future of epilepsy care in the United Kingdom: A roadmap for technology‐enabled transformation
Abstract Epilepsy is recognized to be a significant cause of premature mortality, socio‐economic distress and poor quality of life in economically developed countries. Despite clear clinical guidelines, epilepsy care is marked by delayed diagnosis, fragmented management, high emergency admission rates, and pronounced health inequalities affecting rural
John R. Terry, Rohit Shankar
wiley +1 more source
Power Control in Wireless Body Area Networks: A Review of Mechanisms, Challenges, and Future Directions. [PDF]
Su H, Zhao Z, Gu B, Lin S.
europepmc +1 more source
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source

