Search for dissertations about: "halmstad series"
Showing result 1 - 5 of 15 swedish dissertations containing the words halmstad series.
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1. Towards conformal methods for large-scale monitoring of district heating substations
Abstract : Increasing technical complexity, design variations, and customization options of IoT units create difficulties for the construction of monitoring infrastructure. These units can be associated with different domains, such as a fleet of vehicles in the mobility domain and a fleet of heat-pumps in the heating domain. READ MORE
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2. Magnetotransport Studies of Mn Ion-Implanted Nanowires
Abstract : This thesis focuses on the magnetotransport properties of highly Mn-doped crystalline GaAs nanowires. The GaAs nanowires were first grown by metal-organic vapor phase epitaxy from gold seed particles, and subsequently implanted with Mn ions under varying conditions, e.g., ion fluence and acceleration voltage. READ MORE
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3. Brain Emotional Learning-Inspired Models
Abstract : In this thesis the mammalian nervous system and mammalian brain have been used as inspiration to develop a computational intelligence model based on the neural structure of fear conditioning and to extend the structure of the previous proposed amygdala-orbitofrontal model. The proposed model can be seen as a framework for developing general computational intelligence based on the emotional system instead of traditional models on the rational system of the human brain. READ MORE
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4. Data Mining and Analysis for Characterizing Paper from On-line Multisensor Measurements
Abstract : The objective of this thesis is to develop a multi-resolution tool for screening paper formation variations, aiming to detect abnormalities in various frequency regions ranging from millimeters to several meters. The abnormalities detected in different frequency regions give an indication for the paper maker about specific disturbances in the paper production process. READ MORE
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5. Towards Emotion inspired Computational Intelligence (EiCI)
Abstract : One of the main challenges in the computational intelligence (CI) community is to develop nature-inspired algorithms that can efficiently solve real-world problems such as the prediction of space weather phenomena. An early example in this context is taking inspiration from the biological neurons in the mammal’s nervous system and developing an artificial neuron. READ MORE