Search for dissertations about: "Göran Falkman"
Showing result 1 - 5 of 12 swedish dissertations containing the words Göran Falkman.
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1. Integrating domain knowledge into deep learning : Increasing model performance through human expertise
Abstract : The research in this thesis is focused on how deep learning models can be designed and implemented to better emulate and integrate the heuristic reasoning process of human experts. Several case studies, within the domains of steel making and drug discovery, are conducted in order to evaluate the performance of these models, in comparison to models that do not consider human expert knowledge from the targeted domain. READ MORE
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2. Anomaly detection in the surveillance domain
Abstract : In the post September 11 era, the demand for security has increased in virtually all parts of the society. The need for increased security originates from the emergence of new threats which differ from the traditional ones in such a way that they cannot be easily defined and are sometimes unknown or hidden in the “noise” of daily life. READ MORE
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3. Petri nets for situation recognition
Abstract : Situation recognition is a process with the goal of identifying a priori defined situations in a flow of data and information. The purpose is to aid decision makers with focusing on relevant information by filtering out situations of interest. READ MORE
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4. Situation analysis for fighter aircraft combat survivability
Abstract : Fighter pilots operate in environments where an erroneous decision may have fatal consequences. A tactical decision support system (TDSS) could aid the pilots to analyze the situation and make correct decisions. The TDSS can, for instance, highlight important information and suggest suitable actions. READ MORE
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5. Human-centred automation : with application to the fighter aircraft domain
Abstract : The working situation of fighter pilots is often very challenging. The pilots are requested to perform their tasks and make decisions in situations characterised by time-pressure, huge amounts of data and high workload, knowing that wrong decisions might result in fatal consequences. READ MORE
