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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 16 days ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 16 days ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of new algorithms based on statistical analysis for the detection of bursts in water distribution
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in LIBS systems.; • Develop algorithms for correction and compensation of galvanometric scanning, ensuring accurate spatial correspondence of LIBS data.; • Implement automated pipelines for LIBS data
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Duration Including Renewals: 6 months Objectives Definition of a methodology for identifying cracks in concrete structures, based on computer vision algorithms. Application and validation on the viaduct over
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration
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will be processed by advanced Artificial Intelligence algorithms. The numerous tasks for this grant will contribute to the project's activities. Namely: Installation of sensors on telecommunications
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will be processed by advanced Artificial Intelligence algorithms. The numerous tasks for this grant will contribute to the project's activities. Namely: Installation of sensors on telecommunications
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: Miguel Sá Sousa Castelo Branco IV - Work Plan / Goals to be achieved: To develop and test algorithms that can provide neurofeedback in real time from neurophysiological data. V - Initial grant duration: 12
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
the replicator equation. The focus will be on understanding the principles and number of coexisting species, and the quality of their dynamics. The candidate(s) will also apply data fitting algorithms/machine
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that do not confer an academic degree, in the area or area related to that requested in the tender. Preferential factors: Have demonstrable experience in the use of machine learning algorithms applied