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Showing result 1 - 5 of 63 essays matching the above criteria.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

  3. 2. A Gradient Boosting Tree Approach for Behavioural Credit Scoring

    University essay from KTH/Matematisk statistik

    Author : Axel Dernsjö; Ebba Blom; [2023]
    Keywords : Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

    Abstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE

  4. 3. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Simon Ekman von Huth; [2023]
    Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

    Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE

  5. 4. Explainable Machine Learning in Cardiovascular Diagnostics

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alexander Gutell; Ludvig Skare; [2023]
    Keywords : ;

    Abstract : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. READ MORE

  6. 5. Aurora-Imaging UAV Cameras

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Benjamin Girchman; Joel Widén; [2023]
    Keywords : ;

    Abstract : Ground based optical observations are limited by weather. One of the possible solutions is using adrone to fly above the clouds. This enables new approaches when planning experiments. The aim ofthis project is to produce and evaluate prototypes of aurora-imaging cameras that will be placed insideof such a drone. READ MORE