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Found 6 papers, 1 papers with code
ML KPI Prediction in 5G and B5G Networks
In this paper, we introduce a machine learning (ML) model used to estimate throughput in 5G and B5G networks with end-to-end (E2E) network slices.
Classification of Anomalies in Telecommunication Network KPI Time Series
The increasing complexity and scale of telecommunication networks have led to a growing interest in automated anomaly detection systems.
A Two Sub-problem Decomposition for the Optimal Design of Filterless Optical Networks
The first type of subproblem relies on the generation of filterless subnetworks while the second one takes care of their wavelength assignment.
Problem Decomposition
Networking and Internet Architecture
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?
We discuss the difficulties of using telemetric data for the estimation of the risk of accidents that could explain this negative result.
High-Resolution Road Vehicle Collision Prediction for the City of Montreal
Road accidents are an important issue of our modern societies, responsible for millions of deaths and injuries every year in the world.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
Data models for service failure prediction in supply-chain networks
We aim to predict and explain service failures in supply-chain networks, more precisely among last-mile pickup and delivery services to customers.
