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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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----------------- - Development of automatic classification algorithms. - Data quality analysis. - Development of Fourier and wavelet analysis algorithms for time series analysis. Where to apply E-mail juancarlos.losada@upm.es
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title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01
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title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01
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València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D+i Line: High-performance algorithms for vector processors https://www.upv.es
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of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01/05/2024 END: 31/03/2027 Centre
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estadísticos para su integración en plataformas de datos. --------------------------- Design and development of statistical data analysis algorithms for integration into data platforms. Where to apply E-mail
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of federated algorithms that enable fair management of the advantages and duties of energy communities in which vulnerable people live. The automatic generation of data models using AI technology will enable
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implementation of security provisioning algorithm in DFL environment Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » Communication
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and prior experience in the design and implementation of mathematical optimization algorithms. (18 points) Knowledge and prior experience with statistical prediction models. (10 points) Knowledge and