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swarm behaviors specified at the macroscopic level. 5. Implementation of swarm robotics algorithms and research prototypes using the ROS 2 middleware framework. 6. Execution of experiments with physical
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Artificial Intelligence, with an emphasis on developing methodologies and techniques for Evolutionary Computation and Machine Learning. Work Plan: State-of-the-art survey of Evolutionary Algorithms and Large
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
for periodic reprocessing and extension to different regions; 2. Implement algorithms for the extraction and vectorisation of cartographic elements (e.g. administrative boundaries, transport networks, land use
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of classes, using Machine Learning (ML) techniques such as Decision Trees, K-Nearest Neighbors (KNN), XGBoost, Support Vector Machines (SVM), or Neural Networks. Explore and implement clustering algorithms
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algorithms for intrusion detection in distributed embedded systems. Applicable legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording (Statutes of Scientific Research Fellow) and
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applying Natural Language Processing (NLP) algorithms. Knowledge or prior experience in Virtual Reality technologies. Work Plan: The grant aims to develop Agricultural Simulations using Virtual Reality as a
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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validation of machine learning algorithms for container transport planning problems, using real-time data from the tracking system. Taking a logistics perspective, the main objective is to consider the main
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algorithms (e.g., filtering, normalization, and event detection) to characterize human–robot interaction patterns, with a particular focus on detecting movement intention and potential risk situations. iv