Essays about: "Signal segmentation"

Showing result 6 - 10 of 38 essays containing the words Signal segmentation.

  1. 6. Camera ISP optimization for computer vision tasks performed by deep neural networks

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

    Author : Zhenghong Xiao; [2023]
    Keywords : Computer Vision; Image Signal Processing; DNN; Datorseende; bildsignalbehandling; DNN;

    Abstract : This thesis aims to improve the performance of Deep Neural Networkss (DNNs) in Computer Vision tasks by optimizing the Image Signal Processor (ISP) parameters. The research investigates the use of simulated RAW images and the application of the DRL-ISP (Deep Reinforcement Learning for Image Signal Processor) method to enhance the accuracy and robustness of DNNs. READ MORE

  3. 7. Dealing With Speckle Noise in Deep Neural Network Segmentation of Medical Ultrasound Images

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Olmo Daniel; [2022]
    Keywords : Deep Learning; Ultrasound; Speckle Filtering; Medical Image Segmentation; U-Net; Wavelet Transfrom; Djupinlärning; Ultraljud; Specklefiltrering; Medicinsk bildsegmentering; U-Net; Wavelet transformation;

    Abstract : Segmentation of ultrasonic images is a common task in healthcare that requires time and attention from healthcare professionals. Automation of medical image segmentation using deep learning solutions is fast growing field and has been shown to be capable of near human performance. READ MORE

  4. 8. Automatic Annotation of Speech: Exploring Boundaries within Forced Alignment for Swedish and Norwegian

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Klaudia Biczysko; [2022]
    Keywords : forced alignment; automatic speech recognition; ASR; natural language processing; under-resourced languages; Swedish; Norwegian; CTC segmentation; wav2vec2; kaldi; HTK; dynamic time warping;

    Abstract : In Automatic Speech Recognition, there is an extensive need for time-aligned data. Manual speech segmentation has been shown to be more laborious than manual transcription, especially when dealing with tens of hours of speech. READ MORE

  5. 9. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

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

    Author : Gustav Henning; [2022]
    Keywords : Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

    Abstract : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. READ MORE

  6. 10. Preparations for photon external beam radiotherapy treatment planning of small animals

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Joanie Diha Guei; [2022]
    Keywords : Medicine and Health Sciences;

    Abstract : Introduction:The XenX is a small animal irradiation system that acquires high-resolution cone-beam tomography (CBCT) images of small animals and treats small animals with higher precision than medical linear accelerators. MuriSlice is a software for CBCT image reconstruction. READ MORE