75 citations · 171 across the 20 of their papers we have counts for
5 papers · 1 filter
Machine Learning for Pre/Post Flight UAV Rotor Defect Detection Using Vibration Analysis
Alexandre Gemayel, Dimitrios Michael Manias, Abdallah Shami
Unmanned Aerial Vehicles (UAVs) will be critical infrastructural components of future smart cities. In order to operate efficiently, UAV reliability must be ensured by constant mon…
Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration
Dimitrios Michael Manias, Ali Chouman, Abdallah Shami
Large language models (LLMs) are rapidly emerging in Artificial Intelligence (AI) applications, especially in the fields of natural language processing and generative AI. Not limit…
A Modular, End-to-End Next-Generation Network Testbed: Towards a Fully Automated Network Management Platform
Ali Chouman, Dimitrios Michael Manias, Abdallah Shami
Experimentation in practical, end-to-end (E2E) next-generation networks deployments is becoming increasingly prevalent and significant in the realm of modern networking and wireles…
Probabilistic Fault-Tolerant Robust Traffic Grooming in OTN-over-DWDM Networks
Dimitrios Michael Manias, Joe Naoum-Sawaya, Abbas Javadtalab +1
The development of next-generation networks is revolutionizing network operators' management and orchestration practices worldwide. The critical services supported by these network…
Towards Intent-Based Network Management: Large Language Models for Intent Extraction in 5G Core Networks
Dimitrios Michael Manias, Ali Chouman, Abdallah Shami
The integration of Machine Learning and Artificial Intelligence (ML/AI) into fifth-generation (5G) networks has made evident the limitations of network intelligence with ever-incre…