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- Delft University of Technology (TU Delft)
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data and building monitoring sensor data). The goal is to help: Architects determine which data visualisation methods can help them understand how their decisions impact social and ecological systems
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, etc.). 3. The analysis of the use of space (in terms of daily living patterns and lifestyles) can greatly benefit from the use and development of sensors and AI technologies. These can enhance our
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projects in the marine domain. We envision that you harness the power of AI, specifically in computer vision applications, as well as sensor technology to enhance fisheries, aquaculture and ecological
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, including the phytochromes that detect red and far-red light, and the cryptochromes that sense blue light are master sensors and integrators of environmental signals. They play crucial roles in chloroplast
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and waterscapes, through a.o. deployment of a range of smart participatory science approaches (e.g. citizen observations, cheap sensor deployment) together with local water users, water owners
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Delft explores AI-driven methods to enhance closed-loop simulation for safety-critical scenarios. A key focus is developing learned simulators that generate radar and lidar data from camera sensors
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benefit from the use and development of sensors and AI technologies. These can enhance our knowledge of the flows of people and the destinations that trigger these flows. 4. Get access to data
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benefit from the use and development of sensors and AI technologies. These can enhance our knowledge of the flows of people and the destinations that trigger these flows. 4. Get access to data
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of light, combination of wavelengths and intensities. Artificial intelligence to automatically segment retinal layers. Instruments and sensors for monitoring environmental light exposure and its spectral
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welded joint. The main goal of these tests is to assess the fatigue strength and remaining fatigue lifetime after repair. During the tests you will monitor fatigue damage development with different sensors