Essays about: "flow fields"
Showing result 16 - 20 of 137 essays containing the words flow fields.
-
16. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE
-
17. CFD Analysis of Engine Room Temperature : CFD Analysis of Engine Room Temperature: Case study The Grange Castle Power Plant Project
University essay from Högskolan i Gävle/Avdelningen för byggnadsteknik, energisystem och miljövetenskapAbstract : Computational Fluid Dynamics (CFD) has emerged as an indispensable tool in various engineering fields, particularly in the design and optimization of HVAC systems in complex environments, such as engine rooms. This paper presents a comprehensive overview of CFD applications and focuses on the engine rooms of the Grange Castle Power Plant in Dublin, Ireland. READ MORE
-
18. An AI-based System for Assisting Planners in a Supply Chain with Email Communication
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Communication plays a crucial role in supply chain management (SCM) as it facilitates the flow of information, materials, and goods across various stages of the supply chain. In the context of supply planning, each planner manages thousands of supply chain entities and spends a lot of time reading and responding to high volumes of emails related to part orders, delays, and backorders that can lead to information overload and hinder workflow and decision-making. READ MORE
-
19. Convolution- compacted vision transformers for prediction of local wall heat flux at multiple Prandtl numbers in turbulent channel flow
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : Predicting wall heat flux accurately in wall-bounded turbulent flows is critical fora variety of engineering applications, including thermal management systems andenergy-efficient designs. Traditional methods, which rely on expensive numericalsimulations, are hampered by increasing complexity and extremly high computationcost. READ MORE
-
20. Probabilistic Forecasting through Reformer Conditioned Normalizing Flows
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasts are essential for human decision-making in several fields, such as weather forecasts, retail prices, or stock predictions. Recently the Transformer neural network, commonly used for sequence-to-sequence tasks, has shown great potential in achieving state-of-the-art forecasting results when combined with density estimations models such as Autoregressive Flows. READ MORE
