Sökning: "nn"

Visar resultat 11 - 15 av 126 uppsatser innehållade ordet nn.

  1. 11. Predicting IPO Underpricing: A study on the predictability of IPO underpricing through machine learning algorithms

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Författare :Victor Holgersson; Axel Tardell; [2023]
    Nyckelord :IPO Underpricing; Machine Learning; Neural Network; Random Forest; Gradient-Boosting Trees;

    Sammanfattning : This paper primarily serves to examine whether a specific subset of variables, derived from publicly available pre-IPO data, can be effectively modeled to predict and classify if an IPO will be underpriced using non-linear machine learning (ML) models. Secondly, we analyze whether the performance of ML-based models is greater compared to conventional linear models. LÄS MER

  3. 12. Reusage classification of damaged Paper Cores using Supervised Machine Learning

    M1-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Max Elofsson; Victor Larsson; [2023]
    Nyckelord :Machine Learning; Supervised Learning; classification; 3D sensor; TriSpector1008; SICK; paper core; paper mill; KNN; Support Vector Machine; Decision Trees; Random Forest; Maskininlärning; klassificering; papperskärna; pappersbruk;

    Sammanfattning : This paper consists of a project exploring the possibility to assess paper code reusability by measuring chuck damages utilizing a 3D sensor and usingMachine Learning to classify reusage. The paper cores are part of a rolling/unrolling system at a paper mill whereas a chuck is used to slow and eventually stop the revolving paper core, which creates damages that at a certain point is too grave for reuse. LÄS MER

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

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionen

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

    Sammanfattning : 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. LÄS MER

  5. 14. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Alexander Wirdemo; [2023]
    Nyckelord :Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

    Sammanfattning : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. LÄS MER

  7. 15. Development of a Digital Coaching Application with Automated Mistake Identification using a Multi-Sensor Configuration

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Andreas Chrysanthou; [2023]
    Nyckelord :Sports technology; wearable sensors; multi-sensor; IMU; bodyweight exercise; mobile application; mHealth; Idrottsteknologi; bärbara sensorer; multisensor; kroppsviktsträning; mobilapplikation; mHälsa;

    Sammanfattning : Home-based exercise is a popular physical activity of maintaining fitness, health andwellness in general. However, without proper supervision and basic knowledge of theexercises in the workout plan, there is an increased risk of injury. LÄS MER