Essays about: "multivariate techniques"
Showing result 6 - 10 of 45 essays containing the words multivariate techniques.
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6. Pilot Study on Working Memory : Investigating Single Trial Decoding to Find the Best Stimulus and Target for a Future Personalized Neurofeedback
University essay from KTH/Medicinteknik och hälsosystemAbstract : A standard Neurofeedback approach to mitigate the working memory decline in some fragile groups (elderly, subjects affected by stroke or Alzheimer's disease) can be suboptimal for some patients. The goal of this research is to investigate which visual stimulus (among colour, geometrical shape, direction, and symbol) is the most suited for each of the six healthy participants and which brain areas are the most discriminative, during the maintenance of a presented stimulus in a retro-cue-based working memory experiment. READ MORE
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7. Software Performance Anomaly Detection Through Analysis Of Test Data By Multivariate Techniques
University essay from Uppsala universitet/Statistiska institutionenAbstract : This thesis aims to uncover anomalies in the data describing the performance behavior of a "robot controller" as measured by software metrics. The purpose of analyzing data is mainly to identify the changes that have resulted in different performance behaviors which we refer to as performance anomalies. READ MORE
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8. Visual Analysis of Industrial Multivariate Time-Series Data : Effective Solution to Maximise Insights from Blow Moulding Machine Sensory Data
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Developments in the field of data analytics provides a boost for small-sized factories. These factories are eager to take full advantage of the potential insights in the remotely collected data to minimise cost and maximise quality and profit. READ MORE
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9. Predictive Analysis of Heating Systems for Fault Detection
University essay from Blekinge Tekniska HögskolaAbstract : Background : The heat load has an emergent role in the energy consumption of the heating system in buildings. The industry experts also have been constantly focusing on the heat load optimization techniques and in the recent years, numerous Machine Learning (ML) techniques have come into picture to resolve various tasks. READ MORE
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10. A comparative study of Neural Network Forecasting models on the M4 competition data
University essay from Uppsala universitet/Statistiska institutionenAbstract : The development of machine learning research has provided statistical innovations and further developments within the field of time series analysis. This study seeks to investigate two different approaches on artificial neural network models based on different learning techniques, and answering how well the neural network approach compares with a basic autoregressive approach, as well as how the artificial neural network models compare to each other. READ MORE