Sökning: "ensemble methodology"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden ensemble methodology.
1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment
Master-uppsats,Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER
2. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification
Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. LÄS MER
3. EV - charger availability prediction based on machine learning
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : In response to the rapid growth of electric vehicles (EVs), our research focuses on the critical need for efficient management of charging infrastructure to facilitate the widespread adoption of EVs. Thisresearch leverages historical charging data as a foundation for predicting charging station availability. LÄS MER
4. Making Use of the Factor Zoo: An unpretentious attempt to predict asset returns using machine learning methods.
Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistikSammanfattning : Factor modeling with the purpose of estimating assets returns is a dynamic and ever changing subject within finance. Recent literature has presented over 300 different fac-tors that seem to have significance in predicting asset returns. This new phenomenon in factor modeling has been dubbed ”The Factor Zoo”. LÄS MER
5. Benchmarking a memetic algorithm for global all-atom protein-protein docking with backbone flexibility
Kandidat-uppsats, Lunds universitet/Kemiska institutionenSammanfattning : Determining how proteins interact with each other to form complexes is very important for understanding both disease and cellular functions, but experimentally determining the structures of these complexes is both tedious and slow, which is why a great number of protein-protein docking algorithms have been developed to predict them. To this day, conformational changes in protein backbones have been one of the largest challenges when making docking predictions. LÄS MER