Essays about: "multidimensional optimization"
Showing result 1 - 5 of 7 essays containing the words multidimensional optimization.
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1. X-Ray Fluorescence of Metal Halide Perovskites
University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenAbstract : This thesis has the aim to provide a framework for analyzing X-ray fluorescence (XRF) data obtained from German Electron-Synchrotron Group (DESY). The theoretical analysis shows that XRF competes with Auger emission, and works mainly for elements with high atomic number. Here, incident X-rays of 13. READ MORE
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2. Multi-dimensional Packing for Resource Allocation in 5G
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The Fifth Generation (5G) of wireless communication system brings a series of new challenges in resource optimization. For example optimizing the number of bits and dedicated time used by each service would improve the quality of communications. READ MORE
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3. Optimization of event selection and fake background estimation in a search for heavy scalars in dilepton final states with the ATLAS detector
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : The discovery of the Higgs boson h in 2012 further confirmed the remarkable accuracy of the Standard Model (SM). Despite this, some compelling excesses in multi-lepton final states were recorded in both major runs of the Large Hadron Collider (LHC). READ MORE
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4. Deep Learning for Dynamic Portfolio Optimization
University essay from KTH/Matematisk statistikAbstract : This thesis considers a deep learning approach to a dynamic portfolio optimization problem. A proposed deep learning algorithm is tested on a simplified version of the problem with promising results, which suggest continued testing of the algorithm, on a larger scale for the original problem. READ MORE
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5. Multitask Convolutional Neural Network Emulators for Global Crop Models - Supervised Deep Learning in Large Hypercubes of Non-IID Data
University essay from Lunds universitet/Matematisk statistikAbstract : The aim of this thesis is to establish whether a neural network (NN) can be used for emulation of simulated global crop production - retrieved from the computationally demanding dynamic global vegetation model (DGVM) Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS). It has been devoted to elaboration with various types of neural network architectures: Branched NNs capable of processing inputs of mixed data types; Convolutional Neural Network (CNN) architectures able to perform automated temporal feature extraction of the given weather time series; simpler fully connected (FC) structures as well as Multitask NNs. READ MORE