Essays about: "FCN"

Showing result 1 - 5 of 21 essays containing the word FCN.

  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. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Vikash Lal Dodani; [2023]
    Keywords : Machine Learning; Computer Vision; Traffic Lights Detection; Self-Driving Cars; BOSCH; BSTLD; LISA;

    Abstract : Traffic lights detection systems are an important area of research, aimed towards improving the accuracy and response time of self-driving vehicles when faced with traffic signals. This project attempted to find a solution for the speed-accuracy trade-off faced by traffic light detection systems. 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. Sample Image Segmentation of Microscope Slides

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Maija Persson; [2022]
    Keywords : image segmentation; fully convolutional network; microscope slide; Kato-Katz;

    Abstract : In tropical and subtropical countries with bad infrastructure there exists diseases which are often neglected and untreated. Some of these diseases are caused by parasitic intestinal worms which most often affect children severely. The worms spread through parasite eggs in human stool that end up in arable soil and drinking water. 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