Essays about: "lth"
Showing result 21 - 25 of 469 essays containing the word lth.
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21. Supply Chain Incentive Alignment in Bottom of the Pyramid environments
University essay from Lunds universitet/Teknisk logistikAbstract : Background: Alleviating poverty is critical for achieving sustainability (Zomorrodi et al., 2019). READ MORE
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22. Structure from Motion with a Neural Network
University essay from Lunds universitet/Matematik LTHAbstract : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. READ MORE
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23. The p-adic numbers and Hensel's lemma
University essay from Lunds universitet/Matematik LTH; Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/MatematikcentrumAbstract : The thesis consists of four chapters, each focused on developing the knowledge and drawing new connections with the p-adic numbers and the notions that are well known from the usual analysis on the real topology. In the first chapter, we introduce the basic structure of the $p$-adics, in connection to the conergent series and field axioms. READ MORE
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24. Investigation of communities of practice in a harmonized supply chain ERP landscape
University essay from Lunds universitet/Industriell ProduktionAbstract : This Master thesis is investigating how communities of practice can enhance knowledge sharing in a context of improving a harmonized Enterprise Resource Planning (ERP) system used in supply chain. A student from the faculty of production and materials engineering at Lund university (LTH) collaborated with the Global Trinity organization from Alfa Laval (Lund, Sweden) to answer the research question. READ MORE
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25. Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
University essay from Lunds universitet/Matematik LTHAbstract : Artificial neural networks are known to run into issues when given samples that deviate from the training distribution, where the network may confidently provide an incorrect answer. Out-of-distribution detection methods aims to provide a solution to this issue, by detecting data that deviates from the distribution used to train the model. READ MORE