Results 51 to 60 of about 38,965 (209)
Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth +4 more
wiley +1 more source
Mobile-health (m-health) is described as the application of medical sensors and mobile computing to the healthcare provision. While 5G networks can support a variety of m-health services, applications such as telesurgery, holographic communications, and ...
Moustafa M. Nasralla +3 more
doaj +1 more source
Consensus on circulatory shock and hemodynamic monitoring. Task force of the European Society of Intensive Care Medicine. [PDF]
OBJECTIVE: Circulatory shock is a life-threatening syndrome resulting in multiorgan failure and a high mortality rate. The aim of this consensus is to provide support to the bedside clinician regarding the diagnosis, management and monitoring of shock.
A Babaev +157 more
core +5 more sources
ABSTRACT The integration of low Earth orbit (LEO) satellite constellations with commercial aircraft communication systems presents critical challenges in maintaining continuous connectivity during dynamic flight conditions. Current geostationary satellite systems suffer from high round‐trip latency (>$$ > $$ 500 ms) and inadequate coverage at high ...
Raúl Parada +4 more
wiley +1 more source
Quantum Thermodynamic Cycles and quantum heat engines [PDF]
In order to describe quantum heat engines, here we systematically study isothermal and isochoric processes for quantum thermodynamic cycles. Based on these results the quantum versions of both the Carnot heat engine and the Otto heat engine are defined ...
C. H. Bennett +15 more
core +2 more sources
Rapid 5G/6G evolution demands cross‐layer resource management to address congestion, latency, and reliability in multi‐hop wireless networks. This paper proposes a TOHRP–LBCA framework using DSA and congestion−/topology−/interference‐aware routing and channel allocation, yielding throughput gains, lower latency, improved packet delivery, and higher ...
Emmanuel Ahatsi, Oludolapo Olanrewaju
wiley +1 more source
Big Data analytics and Artificial Intelligence (AI) technologies have become the focus of recent research due to the large amount of data. Dimensionality reduction techniques are recognized as an important step in these analyses.
Fatima Skaka-Čekić +5 more
doaj +1 more source
Algoritmo de control de carga basado en calidad de experiencia en redes LTE [PDF]
El enorme incremento de tráfico y servicios en redes móviles hace que la gestión de las redes haya cambiado su foco de la calidad de servicio (QoS, de sus siglas en inglés) a la calidad de experiencia (QoE).
Marí-Altozano, María Luisa
core
Exploring Outliers in Crowdsourced Ranking for QoE
Outlier detection is a crucial part of robust evaluation for crowdsourceable assessment of Quality of Experience (QoE) and has attracted much attention in recent years.
Barnett V. +7 more
core +1 more source

