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for energy trading based on the peer-to-peer concept; (2) carrying out a comprehensive review of the scientific literature to identify state of the art forecasting models, with particular focus
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Objectives: The goal is to investigate super-Planckian radiative heat transfer phenomena in nanostructured media and metamaterials. Build models of nanostructured radiative heat emitters and receivers. Perform
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. The candidates must have: - general expertise in Physical Layer technologies (OFDM, PNC), analytical modelling, and physical layer security. -proven experience on experimental modelling tools such as Matlab or NS2
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for this research work is divided into the following phases: 1) Collaboration in annotating a set of data, with a view to creating learning sets for Machine Learning models. 2) Evaluation of performance with respect
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Higher Education: Theoretical and Empirical Models. This project is funded by FCT/MECI through national funds and when applicable co-funded EU funds under the 2023.18332.ICDT project reference. Scientific
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: Design, implementation, validation, and evaluation of Artificial Intelligence and Machine Learning models for UAS identification and classification based on AI and RF spectrum occupancy data sets
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well as its modelling and analysis using simulation tools. Several parameters will be studied and adjusted with the aim of optimizing the antenna’s performance, particularly in terms of operating frequency band
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of aggregation and representation models for neuromorphic event data. - Integration of the proposed codec into selected use cases, such as high-frame-rate video reconstruction or machine vision tasks
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-based hardware implementation, VHDL/Verilog modelling, C, C++, Python and MATLAB/Simulink programming. A proven background in laboratory measurements and circuit prototyping is required. The following
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, implementation, validation and assessment of new solutions, optimization techniques and AI/ML models to support edge intelligence and the next generation of mobile communication networks (5G+/6G) with focus