Essays about: "probabilistic assessment"
Showing result 1 - 5 of 39 essays containing the words probabilistic assessment.
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1. Transmission expansion planning considering Probabilistic Risk Assessment : Implemented at Swedish National Grid
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Svenska kraftnät (Swedish National Grid) is the transmission system operator in Sweden and is responsible for maintaining and developing the Swedish transmission grid. One of the tasks included in this responsibility is transmission expansion planning, which means analyzing and planning the capacity in the future transmission grid for the requested load and generation. READ MORE
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2. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. READ MORE
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3. Reliability Assessment of Passive ICS in an SMR as part of the PSA Analysis
University essay from KTH/FysikAbstract : Passive safety systems are increasingly being utilized in prospective nuclear power plant designs. Indeed, the use of safety systems driven by natural phenomena might be seen as an unmitigated virtue. READ MORE
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4. A GP-Surrogate-Based Bayesian Framework for Surge Barrier Optimization
University essay from KTH/Matematik (Avd.)Abstract : Tropical cyclone induced storm surges are some of the largest environmental risks facing infrastructure and human life in dense urban environments. Hurricane Sandy caused 44 deaths and damage of 19 billion US dollars in New York City alone. READ MORE
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5. Mescape - A probabilistic mesoscopic model for fire evacuation in large gatherings
University essay from Lunds universitet/Avdelningen för BrandteknikAbstract : This study presents a mesoscopic model that predicts pedestrian evacuation in large gatherings with probabilistic methods. The model is based on a coarse network representation of buildings, where occupants are treated at a different scale according to their location. READ MORE