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that will enable the optimization of SQL queries.; 2. Development of the optimizer: implementation of a prototype capable of generating optimized SQL queries with persistent memory.; 3. Integration and
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application of the selected methods; - exercise a critical
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wallets through a server-side approach. Implementation of a wallet prototype. The contribution must make available interoperability mechanisms considering EU ARF and Blockchain Interoperability mechanisms
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prototype, analysing metrics of energy consumption, range and user comfort in order to quantify the gains over conventional controllers. Objectives: 1. Investigate existing solutions and identify
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Development Fund (ERDF) though the “Programa de Inovação e Transição Digital” (COMPETE2030), taking place at the Laboratory of Image and Video Technology of Faculty of Sciences of the University of Beira
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of circularity indicators and for lifecycle management, to support the Digital Product Passport.; - Implementation of an experimental prototype and its evaluation. ; The tasks described in this working plan demand
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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, board fabrication, and component soldering for the testing prototype.; • Performance of integration, calibration, and functional validation tests.; • Support in technical documentation and general
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biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering, Data Science, Bioengineering or Applied Mathematics