Essays about: "Simulator training"
Showing result 6 - 10 of 98 essays containing the words Simulator training.
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6. Spatialized Sonification for the Learning of Surgical Navigation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Historically, the education of surgical navigation in minimally invasive neurosurgery has been constrained by several factors. Medical students have been required to physically be in the operating room to observe a teacher perform the different procedures. This restricts their opportunities to gain valuable hands-on experience in their field. READ MORE
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7. Simulating metal ct artefacts for ground truth generation in deep learning.
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. READ MORE
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8. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE
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9. An Evaluative Study on the Impact of Immersion and Presence for Flight Simulators in XR
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Flight simulators are a central training method for pilots and with the advances of human-computer interaction, new cutting-edge technology introduces a new type of simulator using extended reality (XR). XR is an umbrella term for many representative forms of realities, where physical reality (PR) and virtual reality (VR) are the endpoints of this spectrum, and any reality in between can be seen as mixed reality (MR). READ MORE
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10. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. READ MORE
