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application, polygraph data capture and analysis has received limited systematic research and does not yet incorporate modern sensors, computing and analytical techniques. Project: This project aims to explore
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-Time Structural Health Monitoring (SHM): Sensor-integrated ML models will be developed to analyze real-time data from installed wind turbine towers, enabling early fault detection and predictive
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://www.defrost.inria.fr/ . While UAVs began as flying sensors, there is growing interest in Aerial Manipulators (AMs)-UAVs equipped with robotic arms and grippers. Despite progress with rigid manipulators, challenges
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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to older residents. In collaboration with our industry partner, creator of companion robots that positively impact people’s lives, in this exciting project, you will investigate and develop novel algorithms
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Bragg sensors. Demonstration for evaluating the developed snake robot and its navigation and localisation strategies. We are seeking talented candidates with: First or upper second-class degree in
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learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly available sensor and meter
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to demonstrate results on formulating and testing different fair routing policies in route recommendation ADMs, their software, algorithms, and models, are often designed as “black boxes” with little effort placed
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Job Description We invite applications for a fully funded PhD position focused on the development of advanced computer vision and machine learning algorithms for detection and identification
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in humanitarian assistance and disaster response to carry out life-saving efforts. Automatic information extraction from high-resolution satellite sensor images collected from disaster-affected areas