Achieving Ultra-Reliable Low Latency Communication in 5G and Beyond. [PDF]
Bajracharya R, Shrestha R.
europepmc +1 more source
COVID-19: delay, mitigate, and communicate [PDF]
openaire +2 more sources
Two‐Dimensional Isotropic Spatial Differentiation Through Complete Polarization Control
This work enables two‐dimensional isotropic spatial differentiation at planar interfaces over a wide range of incident angles by extending the output polarization from linear to elliptical. The choice of incident angle can be used to balance broader spectral response at low angles and higher edge‐detection efficiency at larger angles.
Doyoon Lee, Minkyung Kim
wiley +1 more source
When Intensive Care is Perceived as a Place of Death: Family Decision Delay, Trust, and Financial Barriers to Timely Acceptance of ICU Admission in Somalia. [PDF]
Siyad AO, Omar AA, Hassan AM.
europepmc +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Intelligent Service Chain Orchestration and Resource Allocation in End-Edge Collaborative IIoT Using Multi-Agent Proximal Policy Optimization. [PDF]
Zhao T, Tian B, Wang L, Ma W, Wei B.
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Deep Reinforcement Learning for Secure and Low-Latency Communications in UAV-Mounted STAR-RIS Assisted Urban Vehicular Networks. [PDF]
Tang J, Yuan J, Zhao H, Chen M, Peng Y.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Efficient High-Resolution Sparse Channel Estimation Based on Temporal Correlation in MIMO-OFDM Systems. [PDF]
Xie H, Wang Y, Andrieux G, Men S.
europepmc +1 more source

