Results 61 to 70 of about 2,555 (211)
A Survey of Scheduling in Time-Sensitive Networking (TSN)
TSN is an enhancement of Ethernet which provides various mechanisms for real-time communication. Time-triggered (TT) traffic represents periodic data streams with strict real-time requirements.
Lindner, Steffen +3 more
core +1 more source
This study developed a data‐driven machine learning framework integrating multi‐model comparisons, stacking ensemble modeling, and interpretability analyses for predicting the adsorption performance of MOFs for airborne toluene with high accuracy. ABSTRACT Metal‐organic frameworks (MOFs) exhibit significant potential for the adsorption of volatile ...
Juntao Zhang +4 more
wiley +1 more source
This paper presents a comprehensive review of Internet of Things (IoT)‐deep reinforcement learning (DRL) integration for smart building energy management, with an emphasis on addressing renewable energy variability, real‐time decision‐making and interoperability challenges.
Tehseen Mazhar +2 more
wiley +1 more source
The paper presents a native length encoding approach alongside a human skeleton‐based action recognition model (named CLS‐Transformer) for home service robots. The model incorporates a novel cue coding strategy that captures richer feature information. The experimental results demonstrate that CLS‐Transformer achieves superior recognition accuracy and ...
Jie Shen +5 more
wiley +1 more source
Towards Synthesizing Datasets for IEEE 802.1 Time-sensitive Networking
IEEE 802.1 Time-sensitive Networking (TSN) protocols have recently been proposed to replace legacy networking technologies across different mission-critical systems (MCSs).
Arestova, Anna +4 more
core
A Two‐Stage SlowFast‐YE Network for Robust Recognition of Crew Irregularities on the Bridge
Innovative network structure: Our proposed SlowFast‐YE network is a real‐time, robust two‐stage network designed specifically for identifying various crew irregularities on ship bridges. Key technologies: The incorporation of Softpool and EPSA techniques enhances cross‐scale feature extraction in complex ship bridge scenes.
Deshan Chen +3 more
wiley +1 more source
DETERMINISTIC PROCESS NETWORKS BASED ON ADAPTIVE TRAFFIC POLICING AND FILTERING [PDF]
Techniques are described herein to facilitate deterministic networking based on Time-Sensitive Networking (TSN) for Substation Automation Networks (SANs).
Barton, Robert, Seewald, Maik
core +1 more source
Supernovae (SNe) with strong interactions with circumstellar material (CSM) are promising candidate sources of high-energy neutrinos and gamma rays, and have been suggested as an important contributor to Galactic cosmic rays beyond 1 PeV.
Beacom, John F. +4 more
core +2 more sources
This study proposes a digital twin‐enabled hybrid deep learning approach for tool wear monitoring in CNC milling. A four‐layer digital twin architecture is established to enable bidirectional real‐time interaction between the physical machine and its virtual model.
Shuo Wang +3 more
wiley +1 more source
Modeling Time-Sensitive Networking Using Timed Continuous Petri Nets [PDF]
Time-Sensitive Networking (TSN) is a set of standards designed to provide determinism to Ethernet or wireless networks for real-time applications. Network Calculus (NC) is the best-known formal tool for TSN analysis, but it is hard to apply in scenarios ...
Blanco-Alcaine, H. +4 more
core +1 more source

