Essays about: "projektioner"
Showing result 1 - 5 of 24 essays containing the word projektioner.
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1. The Role of Uni- and Multivariate Bias Adjustment Methods for Future Hydrological Projections and Subsequent Decision-Making
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Climate models are essential for generating future climate projections. However, due to simplifications, the models can produce systematic differences between output and reality, which is referred to as model bias. Bias adjustment methods aim to reduce this error, which is important for making future projections more reliable. READ MORE
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2. Image and RADAR fusion for autonomous vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such as LiDAR or RADAR are used to compute depth; each having its own advantages and drawbacks. READ MORE
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3. Modelling Ganymede’s Aurora
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A 3D model of Ganymede’s aurora is created using captured data from the Space Telescope Imaging Spectrograph (STIS), on board the Hubble Space Telescope (HST). The data is processed into 24 images and analyzed. A 3D grid is generated around the moon to implement a functional model to describe the aurora. READ MORE
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4. Feasibility of Dynamic SPECT-Renography with Automated Evaluation Using a Deep Neural Network
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Introduction: Renography is a standard diagnostic examination that evaluates renal function, renal pelvic dilatation and urinary obstruction. Renography is performed by injecting a radiopharmaceutical (predominately 99mTc-MAG3) and using gamma camera to image the biodistribution in a dynamic sequence. READ MORE
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5. Random projections in a distributed environment for privacy-preserved deep learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Deep Learning (DL) only over the last decade has proven useful for increasingly more complex Machine Learning tasks and data, a notable milestone being generative models achieving facial synthesis indistinguishable from real faces. With the increased complexity in DL architecture and training data, follows a steep increase in time and hardware resources required for the training task. READ MORE