Sökning: "Pipeline Networks"

Visar resultat 1 - 5 av 97 uppsatser innehållade orden Pipeline Networks.

1. 1. Simulated molecular adder circuits on a surface of DNA : Studying the scalability of surface chemical reaction network digital logic circuits

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

   Författare :Jakob Arvidsson; [2023]
   Nyckelord :Surface chemical reaction networks; Molecular computing; DNA computing; Circuit simulation; Adders; Ytbundna kemiska reaktionsnätverk; Molekylär beräkning; DNA-beräkning; Kretssimulering; Additionskretsar;

   Sammanfattning : The behavior of the Deoxyribonucleic Acid (DNA) molecule can be exploited to perform useful computation. It can also be ”programmed” using the language of Chemical Reaction Networks (CRNs). One specialized CRN construct is the Surface Chemical Reaction Network (SCRN). LÄS MER

3. 2. Hydrogen Pipeline Infrastructure Design for Germany in 2045

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Flora Marianne von Mikulicz-Radecki; [2023]
   Nyckelord :Hydrogen Transport Infrastructure; Pipeline Networks; Retrofitting; Infrastructure Planning; Peak Hour Hydrogen Demand; Utilization Rate; Costs of Avoided Emissions; Carbon Neutrality; Infrastruktur för vätgastransport; rörledningsnät; eftermontering; infrastrukturplanering; efterfrågan på vätgas under m;

   Sammanfattning : Germany’s commitment to carbon neutrality by 2045 underscores the need for climate action, with hydrogen’s multiple uses in industry, transport, and energy offering a viable solution. Efficient retrofitting of the extensive natural gas pipeline network can enable hydrogen to be transported from supply to demand centers. LÄS MER

4. 3. 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

5. 4. Simulating metal ct artefacts for ground truth generation in deep learning.

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Arthur Barakat; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER

7. 5. Self-learning for 3D segmentation of medical images from single and few-slice annotation

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

   Författare :Côme Lassarat; [2023]
   Nyckelord :Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

   Sammanfattning : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. LÄS MER