Sökning: "Region Convolutional Neural Network"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden Region Convolutional Neural Network.

  1. 1. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Vivian Wang; Lidia Yalew; [2023-10-19]
    Nyckelord :Deep learning; Convolutional neural network; LC-MS; Peak Detection; Metabolomics; Faster R-CNN;

    Sammanfattning : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. LÄS MER

  3. 2. Reliable Detection of Water Areas in Multispectral Drone Imagery : A faster region-based CNN model for accurately identifying the location of small-scale standing water bodies

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

    Författare :Shengyao Shangguan; [2023]
    Nyckelord :Water Detection; Faster region-based convolutional neural networks; Multiple images; Convolutional neural networks; Random Forest; Vattendetektering; Snabbare regionbaserade konvolutionella neurala nätverk; Flera bilder; Konvolutionella neurala nätverk; Random Forest;

    Sammanfattning : Dengue and Zika are two arboviral viruses that affect a significant portion of the world population. The principal vector species of both viruses are Aedes aegypti and Aedes albopictus mosquitoes. They breed in very slow flowing or standing pools of water. LÄS MER

  4. 3. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks

    Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Författare :Jacob Lindahl; [2023]
    Nyckelord :LDMX; ANN; CNN; GNN; RNN; DM; Physics and Astronomy;

    Sammanfattning : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. LÄS MER

  5. 4. A CNN-based Analysis of Radiological Parameters from CT images : Improving Surgical Outcomes in Soft Tissue Sarcoma Patients with Pulmonary Metastases

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Klara Solander; [2023]
    Nyckelord :CNN; Convolutional Neural Network; AI; Artificial Intelligence; CT; STS; Soft Tissue Sarcoma; PM; Pulmonary Metastases;

    Sammanfattning : Soft tissue sarcoma (STS) patients with pulmonary metastases (PM) experience a significant decrease in 5-year survival rates, ranging from 15 % to 50 % compared to 81 % without metastases. Despite this clinical challenge, there is a lack of consensus regarding the optimal treatment approach for PM in STS. LÄS MER

  7. 5. Learning to Search for Targets : A Deep Reinforcement Learning Approach to Visual Search in Unseen Environments

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Oskar Lundin; [2022]
    Nyckelord :visual search; reinforcement learning; deep learning; computer vision; autonomous systems; visuell sökning; förstärkningsinlärning; djupinlärning; datorseende; autonoma system;

    Sammanfattning : Visual search is the perceptual task of locating a target in a visual environment. Due to applications in areas like search and rescue, surveillance, and home assistance, it is of great interest to automate visual search. LÄS MER