1 citations · 2 across the 5 of their papers we have counts for
5 papers
Introducing Large Language Models as the Next Challenging Internet Traffic Source
Nataliia Koneva, Alejandro Leonardo García Navarro, Alfonso Sánchez-Macián +3
This article explores the growing impact of large language models (LLMs) and Generative AI (GenAI) tools on Internet traffic, focusing on their role as a new and significant source…
Designing Reliable Experiments with Generative Agent-Based Modeling: A Comprehensive Guide Using Concordia by Google DeepMind
Alejandro Leonardo García Navarro, Nataliia Koneva, Alfonso Sánchez-Macián +2
In social sciences, researchers often face challenges when conducting large-scale experiments, particularly due to the simulations' complexity and the lack of technical expertise r…
MoleNetwork: A tool for the generation of synthetic optical network topologies
Alfonso Sánchez-Macián, Nataliia Koneva, Marco Quagliotti +6
Model networks and their underlying topologies have been used as a reference for techno-economic studies for several decades. Existing reference topologies for optical networks may…
On the impact of VR/AR applications on optical transport networks: First experiments with Meta Quest 3 gaming and conferencing application
C. de Quinto, A. Navarro, G. Otero +10
With the advent of next-generation AR/VR headsets, many of them with affordable prices, telecom operators have forecasted an explosive growth of traffic in their networks. Penetrat…
A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning
Alejandro L. García Navarro, Nataliia Koneva, Alfonso Sánchez-Macián +1
Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on its…