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Visar resultat 1 - 5 av 19 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Samspel – Ja tack? : Att påverka musikaliskt samspel i ensemble på gymnasiet

    L3-uppsats, Luleå tekniska universitet/Institutionen för hälsa, lärande och teknik

    Författare :Ida Lundberg; [2024]
    Nyckelord :ensemble; exercises; interaction; music; ensemble; musik; samspel; övningar;

    Sammanfattning : I detta utvecklingsarbete har jag identifierat tre “nycklar” i musikaliskt samspel – att lyssna, leda och forma. Dessa “nycklar” baseras på mina tidigare erfarenheter av att musicera i ensemble. Utifrån dessa “nycklar” har jag utformat tre samspelsövningar – LYSSNA, LEDA och FORMA. LÄS MER

  3. 2. Unsupervised Online Anomaly Detection in Multivariate Time-Series

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datorteknik

    Författare :Ludvig Segerholm; [2023]
    Nyckelord :unsupervised; online; anomaly detection; explainable ai; machine learning; mahalanobis distance;

    Sammanfattning : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. LÄS MER

  4. 3. A Deep Learning Approach To Vehicle Fault Detection Based On Vehicle Behavior

    Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Rafi Khaliqi; Cozma Iulian; [2023]
    Nyckelord :Deep learning; attention mechanism; vehicle fault detection; CNN; Bi-LSTM; Bi-GRU; Supervised classification;

    Sammanfattning : Vehicles and machinery play a crucial role in our daily lives, contributing to our transportationneeds and supporting various industries. As society strives for sustainability, the advancementof technology and efficient resource allocation become paramount. LÄS MER

  5. 4. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

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

    Författare :Samaneh Shahrokhi; [2023]
    Nyckelord :supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

    Sammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER

  7. 5. Machine Learning for Classification of Temperature Controlled Containers Using Heavily Imbalanced Data

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

    Författare :Adam Ranjith; [2022]
    Nyckelord :Machine learning; Handling imbalanced data; Temperature controllable containers; Ensemble methods; Random forest.; Maskininlärning; Hantera obalanserad data; Temperatur reglerbara containrar; Meta-algoritmer; Random forest.;

    Sammanfattning : Temperature controllable containers are used frequently in order to transport pharmaceutical cargo all around the world. One of the leading manufacturing companies of these containers has a method for detecting containers with a faulty cooling system before making a shipment. LÄS MER