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experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability
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-rich aerial manipulation in unstructured and dynamic environments, particularly in close proximity to objects. The developed algorithms will be validated through real-world experiments that enable
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user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
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defence of a PhD thesis in the field of Electronics-ICT: Artificial Intelligence. This PhD project focuses on the development of intelligent control algorithms for inland waterway vessels, using machine
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
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different incentives, mechanisms and regulatory scenarios, evaluating their performance with respect to different objectives and their trade-offs. Developing decentralized and bi-level algorithms to help
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by recent deepfake misuse and strict regulations such as GDPR. We aim to develop a real‑time, privacy‑preserving camera system that anonymizes individuals directly on the device. Instead of blurring
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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. The success of neural networks as a platform for developing AI is partially explained by the fact that backpropagation, the primary algorithm used to train them, runs efficiently on conventional CMOS hardware