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Visar resultat 1 - 5 av 83 uppsatser som matchar ovanstående sökkriterier.

  1. 1. 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

  3. 2. Deep Learning-Driven EEG Classification in Human-Robot Collaboration

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

    Författare :Yuan Wo; [2023]
    Nyckelord :Human-robot collaboration; Electroencephalogram signal; Signal Processing Feature Extraction; Deep Learning method; Dilated Convolutional Neural Network; Människa-robot-samarbete; Elektroencefalogram-signal; Signalförädlingsfunktionsutvinning; Djupinlärningsmetod; Dilaterat konvolutionellt neuronnätverk.;

    Sammanfattning : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. LÄS MER

  4. 3. Safety-Critical Teleoperation with Time-Varying Delays : MPC-CBF-based approaches for obstacle avoidance

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

    Författare :Riccardo Periotto; [2023]
    Nyckelord :Robust Control Barrier Functions RCBFs ; Model Predictive Control MPC ; Obstacle Avoidance; Time-Varying Delays; Teleoperation; Robust Control Barrier Functions RCBFs ; Model Predictive Control MPC ; Obstacle Avoidance; Time-Varying Delays; Teleoperation;

    Sammanfattning : The thesis focuses on the design of a control strategy for safety-critical remote teleoperation. The main goal is to make the controlled system track the desired velocity specified by a human operator while avoiding obstacles despite communication delays. LÄS MER

  5. 4. Body patterning and cognition in cephalopods - a literature review

    Master-uppsats, SLU/Dept. of Animal Environment and Health

    Författare :Georgina Chu; [2023]
    Nyckelord :cephalopods; octopus; body patterning; colour alteration; chromatophores; pigment cells; cognition; learning and memory;

    Sammanfattning : Cephalopods are a valuable model for studying the evolution of cognition due to their distinctive brain structure, organisation, and connectivity patterns compared to vertebrates. The development of large brains and behavioural complexities are believed to be triggered by evolutionary pressures stemming from factors like heightened predation, more demanding foraging conditions, and intense mating competition. LÄS MER

  7. 5. Developing Software for Commercial Battery Analytics

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Felix Agnerdahl; Erdem Garip; Richard Lövgren; Johan Svärd; Lukas Lindén Thöming; Isaac Westerman; [2023]
    Nyckelord :;

    Sammanfattning : When dealing with older or niche measuring instruments and machines, one can encounter some problems when wanting to expand their software with new functionality and features. This is a problem encountered by Real-time Battery Analytics, a company in its pre-startup phase. LÄS MER