2 citations · 3 across the 5 of their papers we have counts for
6 papers
Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures
Omran Ayoub, Davide Andreoletti, Aleksandra Knapińska +6
Adapting to concept drift is a challenging task in machine learning, which is usually tackled using incremental learning techniques that periodically re-fit a learning model levera…
Scheduling of Emergency Tasks for Multiservice UAVs in Post-Disaster Scenarios
Cristina Rottondi, Francesco Malandrino, Andrea Bianco +2
Single-task UAVs are increasingly being employed to carry out surveillance, parcel delivery, communication support, and other specific tasks. When the geographical area of operatio…
A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications
Prateek Verma, Alessandro Ilic Mezza, Chris Chafe +1
Networked Music Performance (NMP) is envisioned as a potential game changer among Internet applications: it aims at revolutionizing the traditional concept of musical interaction b…
Multiservice UAVs for Emergency Tasks in Post-disaster Scenarios
Francesco Malandrino, Cristina Rottondi, Carla-Fabiana Chiasserini +2
UAVs are increasingly being employed to carry out surveillance, parcel delivery, communication-support and other specific tasks. Their equipment and mission plan are carefully sele…
An Overview on Application of Machine Learning Techniques in Optical Networks
Francesco Musumeci, Cristina Rottondi, Avishek Nag +4
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous data. This information can be retrieved from network traffic traces, network alar…
Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies
Alexander Erreygers, Cristina Rottondi, Giacomo Verticale +1
The possibility of flexibly assigning spectrum resources with channels of different sizes greatly improves the spectral efficiency of optical networks, but can also lead to unwante…