Advanced search
Showing result 1 - 5 of 68 essays matching the above criteria.
-
1. Blågröna lösningar i en grå stadsdel
University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)Abstract : Vatten är livsviktigt för allt liv på jorden, men vad händer när vattnet istället för resurs blir en belastning? Stora andelar hårdgjorda ytor i kombination med skyfall kan skapa problem i städer. I miljöer med mycket asfalt eller betong, förändras vattnets naturliga kretslopp. READ MORE
-
2. Soil compaction and the effect on infiltration in urban green environments : A study based on field measurements and HYDRUS 1D modelling
University essay fromAbstract : The consequences of recent flooding and extreme rain events have highlighted the importance of proper urban planning and preventative measures for storm water management. As cities become more urbanized the significance of permeable surfaces such as parks and other urban green spaces increases which infiltrate the water into the ground. READ MORE
-
3. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE
-
4. Math Visualizations in VR
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Visualization of linear algebra with virtual reality (VR) can be helpful for math teachers. A study has shown more engagement, focus, and active learning through immersion and interactivity, supplementing opportunities for visualizing abstract concepts. READ MORE
-
5. MmWave Radar-based Deep Learning Collision Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. READ MORE
