Search for dissertations about: "Detection"
Showing result 6 - 10 of 4169 swedish dissertations containing the word Detection.
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6. Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications
Abstract : Human operators of modern surveillance systems are confronted with an increasing amount of trajectory data from moving objects, such as people, vehicles, vessels, and aircraft. A large majority of these trajectories reflect routine traffic and are uninteresting. READ MORE
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7. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection
Abstract : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. READ MORE
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8. Detection and Classification Multi-sensor Systems : Implementation of IoT and Systematic Design Approaches
Abstract : The detection and classification of features or properties, which characterize people, things or even events can be done in reliable way due to the development of new technologies such as Internet of Things (IoT), and also due to advances in Artificial Intelligence (AI) and machine learning algorithms. Interconnection of users with sensors and actuators have become everyday reality and IoT, an advanced notation of a Multi-sensor System, has become an integral part of systems for assessment of people’s habits and skills as well as the evaluation of quality of things or events' performances. READ MORE
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9. Change Detection of the Unexpected : Enhancing change detection of the unexpected in a complex and high risk context – guiding visual attention in a digital display environment
Abstract : Change detection of objects and events in our visual surroundings is sometimes severely difficult, especially if these changes are unexpected. Such failures in change detection may cause huge malicious outcomes in contexts characterized by high levels of complexity and risk. READ MORE
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10. Through the coding-lens : community detection and beyond
Abstract : We live in a highly-connected world and find networks wherever we look: social networks, public transport networks, telecommunication networks, financial networks, and more. These networks can be immensely complex, comprising potentially millions or even billions of inter-connected objects. READ MORE