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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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algorithms for image recognition to count invasive wasp species (Asian hornet); iii) Development of a web platform to aggregate, process and present data; iv) Development of studies on potential applicability
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
, financed by EU and national funds through FCT/MCTES (PIDDAC Workplan: Machine learning algorithms, in particular deep learning ones, suffer from the phenomena of catastrophic forgetting, which hampers
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the communication system for prototypes of the autonomous monitoring system for invasive wasp species (Asian hornet); (2) to support the programming of AI algorithms for image recognition; (3) to develop the web
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- Development of methodologies and technologies for predictive maintenance in offshore energy production systems”. This project is funded by the European Regional Development Fund through the NORTE2030 program of
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: Alexandre José Malheiro Bernardino (ist13761) Organic Unit: Institute of Systems and Robotics Scholarship Theme: Research in object search algorithms for autonomous robots Duration: 6 months Maximum Duration
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work will be developed at the Department Mechanical Engineering of the Faculty of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Lucas Filipe Martins da
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, Alberto Jorge Lebre Cardoso IV - Work Plan / Goals to be achieved: Title: Intelligent Systems Architecture and Integration of AI Models in ERP Platforms The N-GenERP project aims to develop innovative
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Language Processing (NLP) and correlation algorithms applied to interaction data, metadata, and multimedia content, it ensures information integrity for both legal and regulatory compliance and the execution
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. With the support of machine learning algorithms and log analysis applied to traffic metadata and communication flows, it ensures system resilience for both legal and regulatory compliance as