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. OBJECTIVES: Literature review on explainability, fairness, trustability, and accountability in network data; Identify and select the appropriate methods, datasets, and algorithms for the studies about
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for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Literature review on anomaly detection in network data.; Using social network analysis to detect anomalies in network data
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of the art in emerging wireless networks; - identify and select the methodologies and approaches suitable for the development of the work; - develop the grant holder research and development capabilities
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. OBJECTIVES: Applying anomaly detection algorithms for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Literature review on anomaly detection in network data; Using deep
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TEC. 2. OBJECTIVES: Specification and development of FLIR algorithm for transmission and distribution networks with integrating high shares of distributed energy resources - Application integration and
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. OBJECTIVES: Literature review of multi-target transformers for network science; Implementation, development and evaluation of a multi-target transformer.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
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of the Fellowship are: 1) Apply reinforcement learning algorithms to optimize electrical networks considering energy transition challenges. 2) Develop and apply a protocol for assessing the robustness and safety
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abstraction and home network management and access control: capabilities for international deployment with high assurances of integrity, immutability, and reliability, achieved with the use of blockchain
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: Hydrogen presents itself as a solid and more efficient alternative for generating green energy and could be introduced into the natural gas network replacing some or all of its current components, namely