1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.NI2024★ 1 cited
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…
cs.LG2024★ 1 cited
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…