Search Results - "Aumayr, Erik"

Towards Interpretable Anomaly Detection: Unsupervised Deep Neural Network Approach using Feedback Loop by Chawla, Ashima, Jacob, Paul, Farrell, Paddy, Aumayr, Erik, Fallon, Sheila

“…As telecom networks generate high-dimensional data, it becomes important to support large numbers of co-existing network attributes and to provide an…”
Get full text

A Flexible Interpreter For Intent Realisation by McNamara, Joseph, Aumayr, Erik, Fallon, Liam, Fallon, Enda

“…Today we see more and more systems support intent languages, frameworks and interfaces. The incorporation of these approaches provide elements of abstraction…”
Get full text

Remote Electrical Tilt Optimization via Safe Reinforcement Learning by Vannella, Filippo, Iakovidis, Grigorios, Hakim, Ezeddin Al, Aumayr, Erik, Feghhi, Saman

“…Remote Electrical Tilt (RET) optimization is an efficient method for adjusting the vertical tilt angle of Base Stations (BSs) antennas in order to optimize Key…”
Get full text

Service-based Analytics for 5G open experimentation platforms by Aumayr, Erik, Caso, Giuseppe, Bosneag, Anne-Marie, Zayas, Almudena Diaz, Alay, Özgü, Garcia, Bruno, Kousias, Konstantinos, Brünstrom, Anna, Gomez, Pedro Merino, Koumaras, Harilaos

“…A scalable, flexible and reliable Analytics service has become a requirement toward building efficient Fifth Generation (5G) experimental platforms that can…”
Get full text

Intelligent Monitoring of IoT Devices using Neural Networks by Chawla, Ashima, Babu, Pradeep, Gawande, Trushnesh, Aumayr, Erik, Jacob, Paul, Fallon, Sheila

“…The Internet of Things (IoT) has seen expeditious growth in recent times with 7 billion connected devices in 2020, thus leading to the vital importance of…”
Get full text

A Safe Reinforcement Learning Architecture for Antenna Tilt Optimisation by Aumayr, Erik, Feghhi, Saman, Vannella, Filippo, Hakim, Ezeddin Al, Iakovidis, Grigorios

“…Safe interaction with the environment is one of the most challenging aspects of Reinforcement Learning (RL) when applied to real-world problems. This is…”
Get full text

A Safe Reinforcement Learning Architecture for Antenna Tilt Optimisation by Aumayr, Erik, Feghhi, Saman, Vannella, Filippo, Hakim, Ezeddin Al, Iakovidis, Grigorios

“…Safe interaction with the environment is one of the most challenging aspects of Reinforcement Learning (RL) when applied to real-world problems. This is…”
Get full text

Remote Electrical Tilt Optimization via Safe Reinforcement Learning by Vannella, Filippo, Iakovidis, Grigorios, Hakim, Ezeddin Al, Aumayr, Erik, Feghhi, Saman

“…Remote Electrical Tilt (RET) optimization is an efficient method for adjusting the vertical tilt angle of Base Stations (BSs) antennas in order to optimize Key…”
Get full text

Probabilistic Knowledge-Graph based Workflow Recommender for Network Management Automation by Aumayr, Erik, Wang, MingXue, Bosneag, Anne-Marie

“…The move towards more complex and dynamic telecommunication networks renders the need for more automation in the management system stringent. This is…”
Get full text

5G-CLARITY: 5G-Advanced Private Networks Integrating 5GNR, WiFi, and LiFi by Cogalan, Tezcan, Camps-Mur, Daniel, Gutierrez, Jesus, Videv, Stefan, Sark, Vladica, Prados-Garzon, Jonathan, Ordonez-Lucena, Jose, Khalili, Hamzeh, Canellas, Ferran, Fernandez-Fernandez, Adriana, Goodarzi, Meysam, Yesilkaya, Anil, Bian, Rui, Raju, Srinivasan, Ghoraishi, Mir, Haas, Harald, Adamuz-Hinojosa, Oscar, Garcia, Antonio, Colman-Meixner, Carlos, Mourad, Alain, Aumayr, Erik

“…The future of the manufacturing industry highly depends on digital systems that transform existing production and monitoring systems into autonomous systems…”
Get full text