Essays about: "machine learning ML"

Showing result 1 - 5 of 208 essays containing the words machine learning ML.

  1. 1. GPS-Free UAV Geo-Localization Using a Reference 3D Database

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Justus Karlsson; [2022]
    Keywords : Deep Learning; Machine Learning; ML; AI; UAV; GPS-Free; CNN; 3D CNN; GCNN; 3D Database; geolocalization; geo-localization; georegistration; Hidden Markov Model; HMM; satellite; satellite database; Batch-Hard; triplet loss; PyTorch Geometric;

    Abstract : The goal of this thesis has been global geolocalization using only visual input and a 3D database for reference. In recent years Convolutional Neural Networks (CNNs) have seen huge success in the task of classifying images. The flattened tensors at the final layers of a CNN can be viewed as vectors describing different input image features. READ MORE

  3. 2. Supervised Machine Learning Modeling in Secondary Metallurgy : Predicting the Liquid Steel Temperature After the Vacuum Treatment Step of the Vacuum Tank Degasser

    University essay from KTH/Materialvetenskap

    Author : Roberto Vita; [2022]
    Keywords : Industy 4.0; Machine Learning; Statistical Modeling; Temperature Prediction; Vacuum Tank Degasser; Vacuum Treatment Step.; Industri 4.0; Maskininlärning; Statistisk modellering; Temperaturförutsägelse; Vakuumbehandlingssteg; Vakuumtankavgasare;

    Abstract : In recent years the steelmaking industry has been subjected to continuous attempts to improve its production route. The main goals has been to increase the competitiveness and to reduce the environmental impact. The development of predictive models has therefore been of crucial importance in order to achieve such optimization. READ MORE

  4. 3. Prediction of the number of weekly covid-19 infections : A comparison of machine learning methods

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Nicklas Branding; [2022]
    Keywords : Machine learning; deep learning; covid-19; public health science; number of infection; regression; long short term memory; gated recurrent unit; support vector regressor; long short term memory-convolutional neural network; bidirectional-long short term memory;

    Abstract : The thesis two-folded problem aim was to identify and evaluate candidate Machine Learning (ML) methods and performance methods, for predicting the weekly number of covid-19 infections. The two-folded problem aim was created from studying public health studies where several challenges were identified. READ MORE

  5. 4. Explainable Machine Learning for Lead Time Prediction : A Case Study on Explainability Methods and Benefits in the Pharmaceutical Industry

    University essay from KTH/Hållbar produktionsutveckling (ML)

    Author : Paul Fussenegger; Niklas Lange; [2022]
    Keywords : Lead time; machine learning; explainability; regression analysis; production planning and control; Ledtid; maskininlärning; förklarbarhet; regressionsanalys; produktionsplanering och produktionsstyrning;

    Abstract : Artificial Intelligence (AI) has proven to be highly suitable for a wide range of problems in manufacturing environments, including the prediction of lead times. Most of these solutions are based on ”black-box” algorithms, which hinder practitioners to understand the prediction process. READ MORE

  6. 5. CLASSIFYING ANXIETY BASED ON A VOICERECORDING USING LEARNING ALGORITHMS

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Oscar Sherlock; Olle Rönnbäck; [2022]
    Keywords : ANN; CNN; Machine learning; Deep learning; ML; DL; Voice recognition; Anxiety;

    Abstract : Anxiety is becoming more and more common, seeking help to evaluate your anxiety canfirst of all take a long time, secondly, many of the tests are self-report assessments that could cause incorrect results. It has been shown there are several voice characteristics that are affected in people with anxiety. READ MORE