Essays about: "systemteori"
Showing result 11 - 15 of 317 essays containing the word systemteori.
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11. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation
University essay from KTH/Optimeringslära och systemteoriAbstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE
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12. Development of Acoustic Simulation Methods for Exhaust Systems
University essay from KTH/Optimeringslära och systemteoriAbstract : Noise pollution is a growing concern due to its harmfulness to human health. Heavy vehicles powered by internal combustion engines stands for a major part of the environmental noise, why noise reduction is an increasing priority in enginve development. READ MORE
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13. Boundary Stories : Exploring Storytelling as a Tool for Inter-Organizational Learning of Crisis Response Capabilities
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Given the unique nature of crises, a key capability of the crisis response system is to facilitate adaptive response structures in relation to the circumstances of any given crisis. This thesis views the crisis response system as complex adaptive system, in which adaptive response is an emergent phenomenon that occurs through the interactions of crisis response organizations within the crisis response system. READ MORE
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14. On Optimal Lateral Tracking Control for Multi-Steered Autonomous Vehicles
University essay from KTH/Optimeringslära och systemteoriAbstract : The transport industry is experiencing a disruption as fully autonomous vehicles are introduced in traffic. The intelligent, driverless vehicles will reduce cost, liberate human effort and increase safety. READ MORE
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15. Multi-objective optimization for model selection in music classification
University essay from KTH/Optimeringslära och systemteoriAbstract : With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. READ MORE