Sökning: "Emission prediction"

Visar resultat 1 - 5 av 47 uppsatser innehållade orden Emission prediction.

1. 1. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomi

   Författare :Harald Agelii; [2023]
   Nyckelord :Structural biology; Machine learning; Neural networks; emission spectrum; XFEL; X-ray free electron laser; SFX; Serial femtosecond X-ray crystallography; Proteins; Diagnostics;

   Sammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER

3. 2. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

   Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Alice Fracchia; [2023]
   Nyckelord :Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

   Sammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER

4. 3. The potential nitrous oxide emissions in a permanent grassland chronosequence

   Kandidat-uppsats, SLU/Dept. of Forest Mycology and Plant Pathology

   Författare :Sandra Lillsjö Kronblad; [2023]
   Nyckelord :nitrous oxide emission; permanent grasslands; denitrification; nitrous; reen house gas; agriculture;

   Sammanfattning : As a part of a larger project (Belowground biodiversity of grasslands – conservation needs and potential to promote sustainable agriculture), this study aims to investigate potential nitrous oxide (N2O) emissions and microbial gene abundances needed for the production (nirS and nirK) and reduction (nosZI and nosZII) of nitrous oxide in soil of permanent grasslands of various age. Thegrasslands have at different times been converted to permanent grasslands and are of interest because of the possibility to shed more light about the passage of time’s affects on the soil microbialcommunities and their activity. LÄS MER

5. 4. Deep Learning for the prediction of RASER-MRI profiles

   Master-uppsats, Linköpings universitet/Medie- och Informationsteknik

   Författare :Filip Arvidsson; Jonas Bertilson; [2023]
   Nyckelord :MRI; NMR; AI; Deep Learning; RASER-MRI; Media Technology; KIT; LIU; CNN; Autoencoder; Djupinlärning; Medieteknik; Magnetröntgen;

   Sammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. LÄS MER

7. 5. Visual Transformers for 3D Medical Images Classification: Use-Case Neurodegenerative Disorders

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Pooriya Khorramyar; [2022]
   Nyckelord :Artificial intelligence; Explainable AI; Machine learning; Deep learning; Computer vision; Vision Transformer; Visual Transformer; ViT; Convolutional Neural Network; CNN; Neurodegenerative disorder; Mild cognitive impairment; Alzheimer s disease; Fluorodeoxyglucose; 18F-FDG; Positron Emission Tomography; PET; Brain; Brain scan;

   Sammanfattning : A Neurodegenerative Disease (ND) is progressive damage to brain neurons, which the human body cannot repair or replace. The well-known examples of such conditions are Dementia and Alzheimer’s Disease (AD), which affect millions of lives each year. LÄS MER