Essays about: "Sekventiell modell"
Showing result 1 - 5 of 19 essays containing the words Sekventiell modell.
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1. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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2. Explainable Machine Learning in Cardiovascular Diagnostics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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3. Tracking and accelerating innovation at the early stages of development : Praxeological perspective on exploratory projects: Case study of an OEM
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This master thesis aims to enhance the understanding of innovation processes at the early stages of development and grant praxeological perspective on exploratory projects. Firstly, it provides a bibliographic overview of the previously conducted research within the Innovation Studies field. READ MORE
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4. Sequential Knowledge Tracing with Transformer Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Transformer models, delivering big improvement in AI text-models (NLP), are now being applied in Knowledge Tracing to track the knowledge of students over time. One of the first, SAINT, showed quite some improvement over the then SOTA results on the public EdNet dataset and caused an increase in research based on transformer-based models. READ MORE
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5. Gaze tracking using Recurrent Neural Networks : Hardware agnostic gaze estimation using temporal features, synthetic data and a geometric model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Vision is an important tool for us humans and significant effort has been put into creating solutions that let us measure how we use it. Most common among the techniques to measure gaze direction is to use specialised hardware such as infrared eye trackers. READ MORE
