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) https://noc.ac.uk/gsnocs/project/improved-hydrodynamic-modelling-uav-derived-topography-and-bathymetry Number Of Awards One Start Date 16th September 2024 Award Duration 3.5 Years Application Closing Date
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Efficient Data-Driven Optimization in Cooperative Control Systems with Constraints 2 Minute read This is one of two research projects studying unmanned aerial and surface vehicles (UAVs and USVs
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systems. Current trends extend the typical application systems by the use of UAV, digitation and automation of the documentation and evaluation of the economic efficiency of production. Aim of this PhD
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well as future urban unmanned air vehicle (UAV). Aviation noise is primarily generated by unsteady turbulent flows. Most of the current technologies are to absorb noise rather than reduce it at the source, which
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qualifications: an MSc degree in physical geography or a related field; passion for mountains, climate, water and plants; experience in plant (trait) measurements, field experiments, numerical modelling, and (UAV
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Aerial Vehicle (UAV) technologies (e.g. Geraeds et al., 2019). This project seeks to address the research gap regarding the lack of field-based quantitative data relating to the wind-blown dispersal
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project “Real-Time Urban Mobility Management via Intelligent UAV-based Sensing (URANUS)”. The URANUS project focuses on real-time, dynamic, and intelligent sensing of vehicular and pedestrian traffic via
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systems (e.g., satellite, aerial, or UAV images). Develop analytical software tools capable of generating graphs, charts, reports and/or other actionable items for future use by agricultural professionals
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systems (e.g., satellite, aerial, or UAV images). Develop analytical software tools capable of generating graphs, charts, reports and/or other actionable items for future use by agricultural professionals
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vehicles (UAVs), enabling real-time monitoring of the operation of the UAV as it manipulates objects using the arm/gripper. Your tasks range from preparation of CLCEs in unconventional shapes and large size