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to the development of an implementation setting for alignment methods for complex PA processes interacting with data objects. These methods should take inspiration from algorithmic techniques developed in data-aware
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. Sensors such as thermal sensors, smoke detectors, optical sensors, and others can provide various types of data necessary for intelligent algorithms that detect the presence of fire. One of the challenges
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. 4. Development of optimization models for EV management, including operational cost minimization, intelligent charging coordination, implementation of predictive models, and development of algorithms
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EVALUATION CRITERIA The selection will be based on the following criteria: Academic record – 40% Past Experience in algorithm optimization - 30% Past Experience in research and industrial projects – 30% Each
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through voice signals; 3. People recognition combining image and voice; 4. Implementation and testing of algorithms and development of a prototype based on the GrowMu social robot and ROS 2 middleware V