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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months 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 | about 2 months 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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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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-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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. OBJECTIVES: To develop and validate novel algorithms for the detection of cardiovascular findings in chest computed tomography images and reports based on vision-language frameworks. To collaborate with
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, age, sex, sexual orientation, marital status, family situation, economic situation, education, origin or social condition, genetic heritage, reduced work capacity, disability, chronic illness
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due to, in particular, ancestry, age, sex, sexual orientation, marital status, family situation, economic situation, education, origin or social condition, genetic heritage , reduced work capacity