Sökning: "Random Forest"
Visar resultat 1 - 5 av 70 avhandlingar innehållade orden Random Forest.
1. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks
Sammanfattning : Data mining and machine learning algorithms are trained on large datasets to find useful hidden patterns. These patterns can help to gain new insights and make accurate predictions. Usually, the training data is structured in a tabular format, where the rows represent the training instances and the columns represent the features of these instances. LÄS MER
2. Order in the random forest
Sammanfattning : In many domains, repeated measurements are systematically collected to obtain the characteristics of objects or situations that evolve over time or other logical orderings. Although the classification of such data series shares many similarities with traditional multidimensional classification, inducing accurate machine learning models using traditional algorithms are typically infeasible since the order of the values must be considered. LÄS MER
3. Strain Gradient Plasticity Modelling of Precipitation Strengthening
Sammanfattning : The introduction of particles and precipitates into a matrix material results in strengthening effects. The two main mechanisms involved in this matter are referred to as Orowan and shearing. To numerically study this phenomenon is the motivation to the research done, which is presented here in this thesis. LÄS MER
4. Inventory strategies for monitoring and evaluation of forest damage
Sammanfattning : Under global change, increasing stresses on forests require strategies for monitoring and mitigation of damages caused by pests and diseases. While the threats to forests increase, so do the possibilities to set up efficient monitoring programmes and detect forest damage by utilising new technologies. LÄS MER
5. Tree Species Classification : Analyzing Multitemporal Satellite Imagery and Multispectral Airborne Laser Scanning Data
Sammanfattning : Tree species composition of forests affects the whole ecosystem and is part of the information needed for an efficient planning of forest management. This thesis explores how recent developments in remote sensing can provide more accurate tree species mapping. LÄS MER