Sökning: "multi-scale"

Visar resultat 6 - 10 av 60 uppsatser innehållade ordet multi-scale.

1. 6. Multi-scale Bark Beetle Predictions Using Machine Learning

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Albert Øhrman Wellendorf; [2023]
   Nyckelord :Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

   Sammanfattning : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. LÄS MER

3. 7. Character and Evolution of Ore Mineralisation in the Te-Rich Enåsen Au-Cu Deposit, Central Sweden

   Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

   Författare :Simon Pieslinger; [2023]
   Nyckelord :ore geology; partial melting; quenching textures; symplectite; tellurides; critical metals;

   Sammanfattning : The Enåsen gold deposit is located in Gävleborg county in central Sweden. Mining operations at Enåsen took place from 1984 to 1991 with Au as the main target for exploitation. The deposit has been interpreted as a metamorphosed Palaeoproterozoic analogue to near-recent epithermal Au mineralisations of a high sulphidation type. LÄS MER

4. 8. Planning for Blue and Green Infrastructure in Response to Rising Sea Levels in Gothenburg

   Master-uppsats, KTH/Stadsbyggnad

   Författare :Jiayi Lan; [2023]
   Nyckelord :sea level rise; blue and green infrastructure; climate-resilient design; sustainable; urban renewal;

   Sammanfattning : Gothenburg, Sweden's second-largest city, faces significant environmental challenges due to climate change and risks from rising sea levels. These challenges include eutrophication, spread of environmental toxins, invasive species, and habitat loss. LÄS MER

5. 9. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jin Wanqi; [2023]
   Nyckelord :Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

   Sammanfattning : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. LÄS MER

7. 10. Multi-Scale Topology Optimization of Lattice Structures Using Machine Learning

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad mekanik

   Författare :Julia Ibstedt; [2023]
   Nyckelord :Topology optimization; Multi-scale topology optimization; Machine learning; Gaussian process; Homogenization; Inverse homogenization; Anisotropic materials; Symmetry groups; Material property space; Topologioptimering; Flerskalig topologioptimering; Maskininlärning; Gaussian process; Homogenisering; Anisotropa material; Symmetrigrupper; Materialegenskapsrymd;

   Sammanfattning : This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. LÄS MER