Results 201 to 210 of about 9,131,053 (251)
Fluctuations of end-to-end delays in low-latency WebRTC-based UAV-borne internet of things operating in an urban environment. [PDF]
Chodorek A, Chodorek RR, Sitek P.
europepmc +1 more source
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay +9 more
wiley +1 more source
Dynamic task offloading in vehicular networks using large language models for adaptive low latency decision making. [PDF]
Trabelsi Z, Ali M, Qayyum T, Tariq A.
europepmc +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Continuous, Low Latency Estimation of the Size and Shape of Single Proteins from Real-Time Nanopore Data. [PDF]
Li Y, Ying C, Mayer M.
europepmc +1 more source
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Low-Latency Oriented Joint Data Compression and Resource Allocation in NOMA-MEC Networks: A Deep Reinforcement Learning Approach. [PDF]
Tan F, Zeng Y, Lan C, Zhou Z.
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Federated learning for digital twin applications: a privacy-preserving and low-latency approach. [PDF]
Li J, Wang D.
europepmc +1 more source
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source

