Sökning: "Optimeringslära"
Visar resultat 11 - 15 av 291 uppsatser innehållade ordet Optimeringslära.
11. A novel approach to model an energy flexibility market using temperature proxies
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : The global demand for energy increases. This causes a problem concering the strain put on energy grids and energy production. The problem occurs when the aggregated energy consumption peaks temporarily and is known as peak loads. LÄS MER
12. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : 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. LÄS MER
13. Development of Acoustic Simulation Methods for Exhaust Systems
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : 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. LÄS MER
14. On Optimal Lateral Tracking Control for Multi-Steered Autonomous Vehicles
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : 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. LÄS MER
15. Multi-objective optimization for model selection in music classification
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : 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. LÄS MER