Essays about: "Physically-based model"
Showing result 1 - 5 of 26 essays containing the words Physically-based model.
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1. Real-time Soft Body Simulation using Extended Position-Based Dynamics and Tetrahedral Deformation
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Several methods have been used to simulate soft body deformation, such as mass-spring systems and position-based dynamics. This has been done using tetrahedral mesh models for preservation of shape and volume. READ MORE
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2. Anticipating Glacier Lake Outburst Floods (GLOFs): an impact-based forecasting framework for managing GLOF risks in Nepal.
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : Glacier lake outburst floods (GLOFs) are an increasingly documented threat across the Himalayan region, wherein Nepal is situated. GLOFs involve a rapid discharge of water from a lake situated at the side, front, within, beneath, or on the surface of a glacier. READ MORE
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3. An evaluation of deep learning models for urban floods forecasting
University essay from KTH/GeoinformatikAbstract : Flood forecasting maps are essential for rapid disaster response and risk management, yet the computational complexity of physically-based simulations hinders their application for efficient high-resolution spatial flood forecasting. To address the problems of high computational cost and long prediction time, this thesis proposes to develop deep learning neural networks based on a flood simulation dataset, and explore their potential use for flood prediction without learning hydrological modelling knowledge from scratch. READ MORE
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4. Hydraulic Erosion Simulation on the GPU for 3D terrains
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Erosion is the action of various natural processes, such as water flow, wind and gravity, that displaces material from one area to another. Creating physically-based models of these complex phenomena has been a major challenge in creating realistic terrain in video games in a fast way, without having a 3D artist model the terrain by hand. READ MORE
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5. Learning from 3D generated synthetic data for unsupervised anomaly detection
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Modern machine learning methods, utilising neural networks, require a lot of training data. Data gathering and preparation has thus become a major bottleneck in the machine learning pipeline and researchers often use large public datasets to conduct their research (such as the ImageNet [1] or MNIST [2] datasets). READ MORE
