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of metrics to evaluate reconstructed data quality, compression ratio, and computational cost; Study and implementation of lossy and lossless compression techniques, including methods based on predictive coding
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amended by Act No 57/2017 of 19 July by the Executory Decision No. 11-A/2017 dated 29 December by the Labour Code and by other legislation applicable to individual employment contracts, as
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of artificial intelligence models for early damage detection, prediction of degradation evolution, and estimation of the remaining useful life of the assets. Additionally, it includes the development of edge
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independently, ignoring the anatomical organization of the stomach and providing limited information regarding the reliability of their predictions. In contrast, endoscopists naturally integrate observations
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. OBJECTIVES: Traditional dropout prediction models tend to underperform precisely in those educational settings where public intervention is most critical: university programmes with small student cohorts and
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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: • Develop optimization algorithms for predictive energy management • Model consumption, renewable generation, storage and CO₂ emissions • Test the
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of the tumors, limiting themselves to a subjective and qualitative characterization. The objective of this project is to create a radiomics and radiogenomics based approach to describe and create predictive