Essays about: "efficient convolution"

Showing result 1 - 5 of 18 essays containing the words efficient convolution.

  1. 1. Convolution-compacted visiontransformers forprediction of localwall heat flux atmultiple Prandtlnumbers in turbulentchannel flow

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Yuning Wang; [2023]
    Keywords : Turbulent flow; Heat transfer; Vision transformer; Convolutional neural network; Machine learning;

    Abstract : Predicting wall heat flux accurately in wall-bounded turbulent flows is critical for a variety of engineering applications, including thermal management systems and energy-efficient designs. Traditional methods, which rely on expensive numerical simulations, are hampered by increasing complexity and extremly high computation cost. READ MORE

  3. 2. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Xingda Li; Haidi Hu; [2023]
    Keywords : Technology and Engineering;

    Abstract : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. READ MORE

  4. 3. 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)

    Author : Yuning Wang; [2023]
    Keywords : Turbulent flow; Heat transfer; Vision transformer; Convolutional neural network; Machine learning;

    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

  5. 4. Anomalous Behavior Detection in Aircraft based Automatic Dependent Surveillance–Broadcast (ADS-B) system using Deep Graph Convolution and Generative model (GA-GAN)

    University essay from Linköpings universitet/Databas och informationsteknik

    Author : Jayesh Kenaudekar; [2022]
    Keywords : Intrusion detection aircraft aviation security adsb protocol AI deep learning machine learning graph generative model surveillance broadcast;

    Abstract : The Automatic Dependent Surveillance-Broadcast (ADS-B) is a key component of the Next Generation Air Transportation System (Next Gen) that manages the increasingly congested airspace and operation. From Jan 2020, the U.S. Federal Aviation Administration (FAA) mandated the use of (ADS-B) as a key component of Next Gen project. READ MORE

  6. 5. An evaluation of deep learning models for urban floods forecasting

    University essay from KTH/Geoinformatik

    Author : Yang Mu; [2022]
    Keywords : Urban flooding forecasting; Convolutional neural networks; Deep learning; Physically-based simulation; Recurrent neural network; Stadsöversvämningsprognoser; konvolutionella neurala nätverk; djupinlärning; fysiskt baserad simulering; återkommande neurala nätverk;

    Abstract : 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