Sökning: "multi-stream"

Visar resultat 1 - 5 av 8 avhandlingar innehållade ordet multi-stream.

  1. 1. Performance Analysis and Optimal Design of Heat Exchangers and Heat Exchanger Networks

    Författare :Lieke Wang; Värmeöverföring; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; applied thermodynamics; Thermal engineering; flexibility; pinch technology; optimization; heat exchanger networks; thermal efficiency; multi-stream; plate-fin heat exchangers; plate heat exchangers; steam condensation; heat exchangers; Termisk teknik; termodynamik; Gases; fluid dynamics; plasmas; Gaser; fluiddynamik; plasma;

    Sammanfattning : This thesis presents a study on performance analysis and optimal design of heat exchangers and heat exchanger networks. The study includes an experimental investigation of steam condensation in plate heat exchangers, optimal design of plate heat exchangers and plate-fin heat exchangers, and optimization of heat exchanger networks. LÄS MER

  2. 2. Deep Learning Methods for Classification of Gliomas and Their Molecular Subtypes, From Central Learning to Federated Learning

    Författare :Muhaddisa Barat Ali; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; glioma subtype classification; convolutional autoencoder; convolutional NN; multi-stream U-Net.; CycleGAN; 1p 19q codeletion; federated learning; IDH mutation; generative adversarial network; Deep learning;

    Sammanfattning : The most common type of brain cancer in adults are gliomas. Under the updated 2016 World Health Organization (WHO) tumor classification in central nervous system (CNS), identification of molecular subtypes of gliomas is important. LÄS MER

  3. 3. Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living

    Författare :Chenjie Ge; Chalmers tekniska högskola; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; convolutional neural networks; Alzheimer s disease detection; machine learning; deep learning; fall detection; glioma subtype classification; generative adversarial networks; recurrent convolutional networks; spiking neural networks; visual prosthesis; semi-supervised learning;

    Sammanfattning : Healthcare has progressed greatly nowadays owing to technological advances, where machine learning plays an important role in processing and analyzing a large amount of medical data. This thesis investigates four healthcare-related issues (Alzheimer's disease detection, glioma classification, human fall detection, and obstacle avoidance in prosthetic vision), where the underlying methodologies are associated with machine learning and computer vision. LÄS MER

  4. 4. Deep Learning Methods for Classification of Glioma and its Molecular Subtypes

    Författare :Muhaddisa Barat Ali; Chalmers tekniska högskola; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 1p 19q codeletion; generative adversarial network; convolutional neural network; glioma subtype classification; IDH mutation.; Deep learning; cycleGAN; convolutional autoencoder;

    Sammanfattning : Diagnosis and timely treatment play an important role in preventing brain tumor growth. Clinicians are unable to reliably predict LGG molecular subtypes from magnetic resonance imaging (MRI) without taking biopsy. Accurate diagnosis prior to surgery would be important. LÄS MER

  5. 5. Property Impacts on Heat Exchanger Design in CO2 Cryogenic Process of Carbon Capture and Storage

    Författare :Yuting Tan; Jinyue Yan; Hailong Li; Bin Liang; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Literature review; CO2 conditioning; CO2 transport; CO2 storage; CO2 mixtures; CO2 cryogenic; heat exchanger; sizing design; property impact; viscosity; thermal conductivity; property model; Energy Technology; Energiteknik;

    Sammanfattning : Carbon capture and storage (CCS) is one of the most promising technologies which can significantly reduce CO2 emissions. A better understanding of thermo-physical properties of CO2 mixtures is required for the design and operation of different CCS processes. LÄS MER