Sökning: "Neural Nets"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden Neural Nets.

  1. 1. Uncertainty Estimation in Radiation Dose Prediction U-Net

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Frida Skarf; [2023]
    Nyckelord :Radiation dose prediction models; U-net; quantile regression; Monte Carlo Dropout; epistemic uncertainty estimation; aleatoric uncertainty estimation; Stråldospredicerande modeller; U-net; kvantilregression; Monte Carlo Dropout; epistemisk osäkerhetsskattning; aletorisk osäkerhetsskattning;

    Sammanfattning : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. LÄS MER

  3. 2. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Fredrik Salomon-Sörensen; [2023]
    Nyckelord :Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

    Sammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER

  4. 3. Prediction and Analysis of 5G beyond Radio Access Network

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Gaurav Singh; Shreyansh Singh; [2023]
    Nyckelord :- LSTM; RNN; AE-LSTM; Deep Learning; Machine Learning; network traffic flow; forecasting; quality-of-service.;

    Sammanfattning : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. LÄS MER

  5. 4. LiDAR Point Cloud De-noising for Adverse Weather

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Johan Bergius; Jesper Holmblad; [2022]
    Nyckelord :Semantic Segmentation; Lidar point cloud; CNN; GAN; CycleGAN; Unsupervised; LiOR; DSOR; DROR; WADS;

    Sammanfattning : Light Detection And Ranging (LiDAR) is a hot topic today primarily because of its vast importance within autonomous vehicles. LiDAR sensors are capable of capturing and identifying objects in the 3D environment. However, a drawback of LiDAR is that they perform poorly under adverse weather conditions. LÄS MER

  7. 5. Extrapolation of polynomial nets and their generalization guarantees

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Yongtao Wu; [2022]
    Nyckelord :Polynomial neural networks; Neural tangent kernel; Extrapolation; Polynomial neural networks; Neural tangent kernel; Extrapolation;

    Sammanfattning : Polynomial neural networks (NNs-Hp) have recently demonstrated high expressivity and efficiency across several tasks. However, a theoretical explanation toward such success is still unclear, especially when compared to the classical neural networks. LÄS MER