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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Quality of Service (QoS) Optimization in 5G/6G Networks Using Neural Networks

Charis E Shiny, S Annapurna, C Lakshana, Anusha Fakirappa Bogur, S Ramesh, G R Naik

Abstract: 5G is rolled out and next generation 6G networks are also being developed, ultra-low latency (URLL) communication as a standard is critical in supporting the plethora of applications, spanning autonomous vehicles, immersive extended reality experience, etc. However, tra…

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openalexZenodo (CERN European Organization for Nuclear Research)

Code and dataset for manuscript "A Heteroscedastic Neural Network-based Turbulent Heat Flux Parameterization and Its Applications to an Ocean Modeling of the Tropical Pacific"

Zhou, Lu

This project includes the model code and observed heat flux data involved in the manuscript "A Heteroscedastic Neural Network-based Turbulent Heat Flux Parameterization and Its Applications to an Ocean Modeling of the Tropical Pacific".

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Labels as Computational Primitives: Compiling Neural Networks from Language in Graph Compute Substrates

Mugur Marculescu

Neural networks are extraordinarily effective and almost entirely opaque: their competence is real but unreadable, and adapting them means retraining usually via a data-center process, not something that happens in the moment, in context. Symbolic systems are the inverse, legible…

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