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-vision algorithms with edge-computing processing for the automatic detection of non-conformities. Machine-learning techniques will be applied to optimize cutting parameters, and the module will be
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of the LTFP. In accordance with articles 22.º, n.º 3 and 4 of the Regulation and 13.º of the RJEC, the Recruitment board is composed as follows: President: Prof. Dr. João Paulo da Silva Catalão Member: Prof. Dr
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developed at the Department of Chemical and Biological Engineering of the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Prof. Adrián Manuel Tavares da Silva
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for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration, with nº 15456, and
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development