Avancerad sökning

Visar resultat 1 - 5 av 6 uppsatser som matchar ovanstående sökkriterier.

1. 1. Estimation of Water Depth from Multispectral Drone Imagery : A suitability assessment of CNN models for bathymetry retrieval in shallow water areas

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Qianyao Shen; [2022]
   Nyckelord :Bathymetry Retrieval; Multispectral Imagery; Convolutional Neural Network CNN ; Hämtning Av Batymetri; Multispektrala Bilder; Konvolutionellt Neuralt Nätverk CNN ;

   Sammanfattning : Aedes aegypti and Aedes albopictus are the main vector species for dengue disease and zika, two arboviruses that affect a substantial fraction of the global population. These mosquitoes breed in very slow-moving or standing pools of water, so detecting and managing these potential breeding habitats is a crucial step in preventing the spread of these diseases. LÄS MER

3. 2. State Estimation Using a Parametric Approximation of the Viterbi Algorithm

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Åslund Jakob; [2021]
   Nyckelord :State estimation; Viterbi algorithm;

   Sammanfattning : In this work, a new method of approximating the Maximum-likelihood estimate has been presented. The method consists of first using the Viterbi algorithm to estimate the log likelihood of the state, and then approximating that log likelihood to keep the computational complexity down. LÄS MER

4. 3. Bank risk analysis with machine learning

   Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Viet Vu; Mariaguadaloppe Farah; [2021]
   Nyckelord :;

   Sammanfattning : Nowadays, the time and resources needed to get an accurate estima-tion of a client’s ability to pay back a loan has gone up. With theamount of data complexity it involves to do the credit risk analysis, the machine learning technique has been used to ease the process. LÄS MER

5. 4. Topological recursive fitting trees : A framework for interpretable regression extending decision trees

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alexandre Tadros; [2020]
   Nyckelord :;

   Sammanfattning : Many real-world machine learning applications need interpretation of an algorithm output. The simplicity of some of the most fundamental machine learning algorithms for regression, such as linear regression or decision trees, facilitates interpretation. However, they fall short when facing complex (e.g. LÄS MER

7. 5. Automatic Flight Maneuver Identification Using Machine Learning Methods

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Camilla Bodin; [2020]
   Nyckelord :Flight; Aircraft; Machine Learning; Flight Dynamics; Classification; Supervised Learning; Support Vector Machines; Neural Networks; Logistic Regression; Feature Selection; Recursive Feature Elimination; Feature Representation; k-fold cross-validation; maneuvers; flight maneuvers;

   Sammanfattning : This thesis proposes a general approach to solve the offline flight-maneuver identification problem using machine learning methods. The purpose of the study was to provide means for the aircraft professionals at the flight test and verification department of Saab Aeronautics to automate the procedure of analyzing flight test data. LÄS MER