Sökning: "nearest neighbor algorithms"

Visar resultat 11 - 15 av 53 uppsatser innehållade orden nearest neighbor algorithms.

  1. 11. Path and Route Planning for Indoor Monitoring with UAV : An Evaluation of Algorithms for Time-constrained Path and Route Planning in an Indoor Environment with Several Waypoints and Limited Battery Time

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

    Författare :Ola Johansson; [2022]
    Nyckelord :UAV; path planning; route planning; drone; combinatorial optimization; Ruttplanering; banplanering; vägplanering drönare; kombinatorisk optimisering;

    Sammanfattning : Unmanned flying vehicles (UAVs) are tools that can be used in a variety of scenarios. The most common areas of application are outdoors, where there are not many obstacles to take into consideration when planning a route. LÄS MER

  3. 12. A deep learning based anomaly detection pipeline for battery fleets

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

    Författare :Nabakumar Singh Khongbantabam; [2021]
    Nyckelord :Forklift batteries; Battery sensors; Data pipeline; Predictive maintenance; Anomaly detection; Deep learning; Battery failure prediction; Time-series; Variational autoencoder; Long short-term memory; LSTM; Gated recurrent unit; GRU; Isolation nearest neighbor; iNNE; Isolation forest; iForest; kth nearest neighbor; kNN.; Gaffeltruckbatterier; Batterisensorer; Datapipeline; Prediktivt underhåll; Avvikelsedetektering; Deep learning; Batterifelsprediktion; Tidsserier; Variationsautokodare; Långt korttidsminne; LSTM; Gated recurrent unit; GRU; Isolation närmaste granne; iNNE; Isolation skog; iForest; kth närmaste granne; kNN.;

    Sammanfattning : This thesis proposes a deep learning anomaly detection pipeline to detect possible anomalies during the operation of a fleet of batteries and presents its development and evaluation. The pipeline employs sensors that connect to each battery in the fleet to remotely collect real-time measurements of their operating characteristics, such as voltage, current, and temperature. LÄS MER

  4. 13. Beam refinement and beam tracking using Machine Learning Techniques in 5G NR RAN

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Harshal Patel; [2021]
    Nyckelord :;

    Sammanfattning : Abstract: Growing needs of communication, demands a higher data transmission rate in 5G NR. In the 3rd generation partnership project (3GPP), frames are used to schedule the data to be transferred between the cellular base station (gNB) and user equipment (UE). LÄS MER

  5. 14. Emotional Content in Novels for Literary Genre Prediction : And Impact of Feature Selection on Text Classification Models

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Mary Yako; [2021]
    Nyckelord :;

    Sammanfattning : Automatic literary genre classification presents a challenging task for Natural Language Processing (NLP) systems, mainly because literary texts have deeper levels of meanings, hold distinctive themes, and communicate certain messages and emotions. We conduct a study where we experiment with building literary genre classifiers based on emotions in novels, to investigate the effects that features pertinent to emotions have on models of genre prediction. LÄS MER

  7. 15. Human-robot Collaboration Focusing on Image Processing

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

    Författare :Xuetao Zhang; [2020]
    Nyckelord :;

    Sammanfattning : The future manufacturing industry calls for a new generation of production so-lutions with high efficiency and flexibility. Therefore, research towards Human-Robot Collaboration (HRC) has recently aroused much attention in the field ofmanufacturing as it provides the possibility for harmonizing the accuracy of arobot with the flexibility of a human. LÄS MER