Sökning: "Bara Graf"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Bara Graf.
1. On the strategic abilities gained by using knowledge-based strategies for multi-agent teams playing against nature
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Analogous to how the Knowledge-Based Subset Construct (KBSC) can transform games of imperfect information against nature into games of perfect information, making it easier to find winning strategies for objectives in these games, the multi-agent knowledge-based subset construct (MKBSC) can be used to find winning strategies in multi-agent games of imperfect information. The difference between the two algorithms is that the generalized version can be applied multiple times, which is interpreted as the agent’s considering not just their own knowledge of the game, but also their knowledge of the other agents, and the knowledge of the other agent’s knowledge about their own knowledge, etc. LÄS MER
2. Dam Failure Analysis of the Parteboda Hydropower Plant : A deterministic approach
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Despite all the benefits a dam can provide, hundreds of years of experience have shown the destructive forces that can be unleashed by dam failure. To carry out risk management and execute mitigative measures for a dam facility, it is first necessary to assess the incremental consequences of a potential dam failure. LÄS MER
3. Serverless Streaming Graph Analytics with Flink Stateful Functions
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Serverless Function as a Service (FaaS) platforms have been an emerging trend nowadays with the continuous improvement of the cloud-native ecosystem. Graph streaming analytics is a widely-known research area that demands well-designed computation paradigms and complex optimization of storage and queries. LÄS MER
4. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. LÄS MER
5. Interactive Visual Exploration of Causal Structures for Neuropathic Pain Diagnosis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Revealing causal structures from observational data is an essential task in many data analysis issues across various domains, such as natural sciences, business, and healthcare. In healthcare, neuropathic pain is one of the most common medical problems, whose diagnosis process has well-understood causal structures. LÄS MER
