Essays about: "tree improvement"

Showing result 6 - 10 of 65 essays containing the words tree improvement.

1. 6. Implementing the chirality-flow formalism for tree-level massless QCD in MadGraph

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Teoretisk partikelfysik - Geonomgår omorganisation

   Author : Adam Warnerbring; [2023]
   Keywords : Theoretical physics; The chirality-flow formalism; Physics and Astronomy;

   Abstract : The chirality-flow formalism provides a simple but efficient way to rewrite and evaluate Feynman diagrams and has recently been shown to also optimize automated numerical scattering matrix element evaluations in massless tree-level QED. In this thesis we extend the numerical QED model to massless tree-level QCD in the MadGraph5_aMC@NLO framework. READ MORE

3. 7. Event categorisation and Machine-learning Techniques in Searches for Higgs Boson Pairs in the ATLAS Experiment at the LHC

   University essay from Uppsala universitet/Högenergifysik

   Author : Milads Emadi; [2023]
   Keywords : Particle Physics; ATLAS; BDT; Boosted Decision Tree; Decision Tree; Optimization; Machine Learning; Analysis;

   Abstract : This thesis investigates the pair production of Higgs bosons (di-Higgs events) at the ATLAS experiment in the Large Hadron Collider (LHC), focusing on the channel where one Higgs boson decays into two bottom quarks and the other decays into two tau leptons. The main objective was to determine whether introducing a split in the invariant mass of the decay products from the two Higgs bosons (the di-Higgs mass) and using this as an analysis variable improves the sensitivity of the Boosted Decision Tree (BDT) machine learning algorithm to the di-Higgs signal. READ MORE

4. 8. Basal Area Growth and Yield Models for Siberian Larch

   University essay from SLU/Southern Swedish Forest Research Centre

   Author : Alfred Deutgen; [2023]
   Keywords : Growth model; Yield model; Siberian Larch; Russian larch; Larix sibirica; Larix sukaczewii; Lundqvist-korf model; Mixed effect model;

   Abstract : There is no species-specific basal area growth model for Siberian Larch in Sweden, which is necessary in evaluating forest management decisions. Three different models were created from stand trials around Sweden. READ MORE

5. 9. Image generation through feature extraction and learning using a deep learning approach

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Tibo Bruneel; [2023]
   Keywords : Deep Learning; Neural Networks; Deep Generative Learning; Variational Autoencoders; Generative Adversarial Networks; Flow-based Models; Triplet Image Generation; Triplet Loss; Tree Log End Generation; Forestry Application;

   Abstract : With recent advancements, image generation has become more and more possible with the introduction of stronger generative artificial intelligence (AI) models. The idea and ability of generating non-existing images that highly resemble real world images is interesting for many use cases. READ MORE

6. 10. Exploring Alarm Data for Improved Return Prediction in Radios : A Study on Imbalanced Data Classification

   University essay from Uppsala universitet/Matematiska institutionen

   Author : Sofia Färenmark; [2023]
   Keywords : Imbalanced data classification; LASSO; Boruta; SVM; RFC; neural network; decision tree; AUC; AUPRC;

   Abstract : The global tech company Ericsson has been tracking the return rate of their products for over 30 years, using it as a key performance indicator (KPI). These KPIs play a critical role in making sound business decisions, identifying areas for improvement, and planning. READ MORE