Sökning: "Data Mining 1"

Visar resultat 1 - 5 av 91 uppsatser innehållade orden Data Mining 1.

  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. Evaluation of SLAM based mobile laser scanning and terrestrial laser scanning in the Kiruna mine : A comparison between the Emesent Hovermap HF1 mobile laser scanner and the Faro Laser Scanner Focus3D X 330 terrestrial laser scanner

    Kandidat-uppsats, Högskolan i Gävle/Samhällsbyggnad

    Författare :Claes Gustafsson; [2023]
    Nyckelord :Terrestrial laser scanning; mobile laser scanning; simultaneous localization and mapping; underground mapping; Kiruna mine.;

    Sammanfattning : The mining industry has over the last few decades seen a drastic increase in the usage of laser scanning technologies as a way of creating 3D maps of the mines being exploited. Underground mapping in places such as mines has become more prevalent as the technology has progressed and made it easier to generate highly detailed point clouds faster. LÄS MER

  4. 3. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Författare :Yuxin Sun; [2023]
    Nyckelord :LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Sammanfattning : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. LÄS MER

  5. 4. 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

  7. 5. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

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

    Författare :Xuechun Lu; [2023]
    Nyckelord :Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

    Sammanfattning : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. LÄS MER