Sökning: "segmentation process"

Visar resultat 16 - 20 av 241 uppsatser innehållade orden segmentation process.

1. 16. Structure from Motion with a Neural Network

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Jiarong Gong; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. LÄS MER

3. 17. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases

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

   Författare :Alec Guerin; Christos Papadopoulos; [2023]
   Nyckelord :FTJ; Ferroelectric Tunneling Junction; Analog in-memory computing; AIMC; Memristor; A.I.; AIHWKIT; Semantic segmentation; Natural Language Processing; NLP; Neuromorphic Computing; Matrix Vector Multiplication; Technology and Engineering;

   Sammanfattning : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. LÄS MER

4. 18. Heart- and Sapwood Segmentation on Hyperspectral Images using Deep Learning

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Samuel Hallin; Simon Samnegård; [2023]
   Nyckelord :Computer Vision; Hyperspectral Imaging; Heartwood; Sapwood; Deep Learning; Segmentation; Dimensionality Reduction; PCA; PLS; SVM; U-NET; U-within-U-Net;

   Sammanfattning : For manufacturers in the wood industry, an important way to make the production more effective is to automate the process of detecting defects and different attributes on boards. One important attribute on most boards is heartwood and sapwood. LÄS MER

5. 19. Data Generation in Metal Recycling Using Unconditional Diffusion Models

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Andersson Sebastian; [2023]
   Nyckelord :Machine learning; diffusion model; unconditional diffusion model; data generation; generative model;

   Sammanfattning : Combitech AB was interested in how to automate the process of annotating aluminum scrap when it was adjacent to other metals. This was to ultimately create an annotated dataset that could be utilized for training a segmentation model. The idea was to make use of generative models to generate samples of general scrap metals. LÄS MER

7. 20. Deep Learning-Based Automated Landmark Localization for Evan’s Index Computation

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Richards Britto Christu Dhas; [2023]
   Nyckelord :;

   Sammanfattning : Hydrocephalus is a neurological disorder characterized by the accumulation of cerebrospinal fluid in the brain, leading to an enlargement of the ventricular system. Among its subtypes is idiopathic normal pressure hydrocephalus (iNPH), characterized by normal cerebrospinal fluid pressure. LÄS MER