Sökning: "decision making under deep uncertainty"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden decision making under deep uncertainty.

1. 1. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Christoforos Spyretos; [2023]
   Nyckelord :medical imaging; deep learning; classification; CNN; Vision Transformer; glioblastoma; GBM; IvyGAP; brain tumour; histopathology; digital pathology; histology;

   Sammanfattning : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. LÄS MER

3. 2. Robust BECCS deployment strategies under deep uncertainty : A case study of Stockholm Exergi

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Oscar Stenström; [2023]
   Nyckelord :Bioenergy carbon capture and storage; BECCS; decision making under deep uncertainty; DMDU; Dynamic Adaptive Planning; DAP; Robust Decision Making; RDM; Bioenergy carbon capture and storage; BECCS; decision making under deep uncertainty; DMDU; Dynamic Adaptive Planning; DAP; Robust Decision Making; RDM;

   Sammanfattning : The most recent IPCC assessment shows that negative emissions (NEs) and carbon dioxide removal (CDR) technologies are becoming increasingly important in scenarios that limit global warming to 2 °C or lower. In these scenarios, one key set of CDR technologies is bioenergy carbon capure and storage (BECCS). LÄS MER

4. 3. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets

   Uppsats för yrkesexamina på avancerad nivå, Linköpings universitet/Institutionen för ekonomisk och industriell utveckling

   Författare :Anton Zackrisson; [2023]
   Nyckelord :electric freight; battery-electric trucks; total cost of ownership; decision making under deep uncertainty DMDU ; cost-competitiveness; exploratory modeling and analysis EMA ; EMA workbench; quasi-Monte Carlo method; VRP; EVRP; elektrifiering; godstransport; elektriska lastbilar; total ägandekostnad; kostnadskonkurrenskraft; ruttoptimering;

   Sammanfattning : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity.  Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. LÄS MER

5. 4. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions

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

   Författare :Philipp Mondorf; [2022]
   Nyckelord :;

   Sammanfattning : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. LÄS MER

7. 5. Osäkra tillsammans : Osäkerhet i robusta beslut och omvärldsanalys inom svensk offentlig sektor

   Magister-uppsats, Högskolan i Gävle/Besluts-, risk- och policyanalys

   Författare :Simon Fridolfsson; [2021]
   Nyckelord :;

   Sammanfattning : Den växande klimatkrisen kräver hållbara samhällen. Men tidsförhållanden avseende dessa frågor är mycket stora vilket leder till beslutskontexter behäftade med stora osäkerheter. Inom svensk offentlig sektor finns flera olika inriktningar till hur denna osäkerhet kan hanteras. LÄS MER