Sökning: "Mining machines"

Visar resultat 1 - 5 av 69 uppsatser innehållade orden Mining machines.

  1. 1. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fabeena Thoufeeq; Reeba Susan Ashok; [2024]
    Nyckelord :;

    Sammanfattning : In collaboration with an industrial partner, Alfa Laval AB, this thesis discusses a novel approach for identifying operational modes, specifically a cleaning mode, in separator machines without the benefit of labelled data and with very limited operating knowledge. Understanding the operational modes is crucial for comprehending the machine’s behaviour and ensuring its optimal performance. LÄS MER

  3. 2. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Gren; Klara Lundgren; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. LÄS MER

  4. 3. Optimization of Path and Trajectory for Underground Mining Machines

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Farid Marouki; [2023]
    Nyckelord :;

    Sammanfattning : Underground mining machines play a critical role in the mining industry, enablingexcavation of valuable minerals from subterranean deposits. The efficiency of mining op-erations relies heavily on the effectiveness of these machines. LÄS MER

  5. 4. Performance comparison of data mining algorithms for imbalanced and high-dimensional data

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

    Författare :Daniel Rubio Adeva; [2023]
    Nyckelord :Data science; neural network; random forest; support vector machine; imbalanced data; average precision; ROC; Datavetenskap; neuralt nätverk; slumpmässig skog; stödvektormaskin; obalanserad data; medelprecision; ROC;

    Sammanfattning : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. LÄS MER

  7. 5. Autonomous Quadcopter Landing with Visual Platform Localization

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Martin Blaszczyk; [2023]
    Nyckelord :UAV; Autonomy; Landing; Fiducial markers; QR; QR-code; Drone; Platform; MPC; UAV control;

    Sammanfattning : Multicopters such as quadcopters are a popular tool within industries such as mining, shipping and surveillance where a high level of autonomy can save time, increase efficiency and most importantly provide safety. While Unmanned Aerial Vehicles have been a big area in research and used in the mentioned industries, the level of autonomy is still low. LÄS MER