Essays about: "Artificial Neural Network"

Showing result 16 - 20 of 591 essays containing the words Artificial Neural Network.

  1. 16. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension

    University essay from Linköpings universitet/Avdelningen för medicinsk teknik

    Author : Frida Hermansson; [2023]
    Keywords : Pulmonary Hypertension; pulmonary hypertension; improving; physiological-guided; machine learning; neural networks; NN; artificial neural networks; non-invasive; PH; tricuspid regurgitation; peak tricuspid regurgitation velocity; tricuspid regurgitation velocity; right ventricular systolic pressure; VGG16; Unet; TR-CNN; CNN; pulmonell hypertension; förbättra; fysiologisk-guidning; neurala nätverk; trikuspidal regurgitation; maximal trikuspidal regurgitation; icke-invasivt;

    Abstract : Diagnosing pulmonary hypertension (PH) with right heart catheterization (RHC) is associated with a risk for complications and high expenses, leading to late diagnoses [1]. Transthoracic echocardiography can be used to assess non-invasive indicators for PH such as right ventricular systolic pressure (RVSP), which can be estimated by combining the peak tricuspid regurgitation velocity (TRV) with the estimated right arterial pressure (RAP). READ MORE

  2. 17. Performance comparison of data mining algorithms for imbalanced and high-dimensional data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Rubio Adeva; [2023]
    Keywords : Data science; neural network; random forest; support vector machine; imbalanced data; average precision; ROC; Datavetenskap; neuralt nätverk; slumpmässig skog; stödvektormaskin; obalanserad data; medelprecision; ROC;

    Abstract : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. READ MORE

  3. 18. Automatic quality assessment of formed fiber products via Computer Vision and Artificial Intelligence

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jesper Sköld; [2023]
    Keywords : Artificial intelligence; Deep learning; CNN; YOLO; Computer Vision; Fiber products; Machine learning; Neural network;

    Abstract : Defects on fiber products have varied appearances and are common in production lines. A reliable system that can classify and identify defects without subjectivity and fatigue can improve a company's quality management. Computer vision systems are crucial for any autonomous system, but accuracy is essential for real-life applications. READ MORE

  4. 19. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Tobias Andersson; Mattias Mentes; [2023]
    Keywords : Probability of Default; Machine Learning; Stress Testing; Logistic Regression; Decision Tree; Random Forest; Artificial Neural Network;

    Abstract : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. READ MORE

  5. 20. Learning features for extrinsic camera calibration of wide-angle cameras

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Albin Holmkvist; Max Björkander; [2023]
    Keywords : Computer vision; camera calibration; machine learning; artificial intelligence; wireframes;

    Abstract : This thesis attempts to solve the problem of estimating the extrinsic camera parameters (pitch and roll) from a wide-angle view image. The first contributionis a data generation pipeline capable of producing wide-angle distorted images with rotation and line segment annotations. READ MORE