Search for dissertations about: "convolutional neural network classifier"

Showing result 1 - 5 of 7 swedish dissertations containing the words convolutional neural network classifier.

  2. 1. Convolutional Network Representation for Visual Recognition

    Author : Ali Sharif Razavian; Atsuto Maki; Stefan Carlsson; Josephine Sullivan; Josef Sivic; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Convolutional Network; Visual Recognition; Transfer Learning; Computer Science; Datalogi;

    Abstract : Image representation is a key component in visual recognition systems. In visual recognition problem, the solution or the model should be able to learn and infer the quality of certain visual semantics in the image. READ MORE

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

    Author : Muhaddisa Barat Ali; Chalmers tekniska högskola; []
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 3. Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection

    Author : Kristína Lidayová; Hans Frimmel; Ewert Bengtsson; Örjan Smedby; Alejandro F. Frangi; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; medical image analysis; automatic skeleton extraction; vascular segmentation; coverage segmentation; convolutional neural network classifier; CT angiography; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. READ MORE

  6. 4. Drill Failure Detection based on Sound using Artificial Intelligence

    Author : Thanh Tran; Jan Thim; Sebastian Bader; Kalle Åström; Mittuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Convolutional neural network; machine failure detection; Mel-spectrogram; long short-term memory; sound signal processing;

    Abstract : In industry, it is crucial to be able to detect damage or abnormal behavior in machines. A machine's downtime can be minimized by detecting and repairing faulty components of the machine as early as possible. It is, however, economically inefficient and labor-intensive to detect machine fault sounds manual. READ MORE

  7. 5. Artificial Intelligence-Based Characterization and Classification Methods for Power Quality Data Analytics

    Author : Azam Bagheri; Math Bollen; Surya Santoso; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Power System; power Quality; Voltage Dip; Big Data; Deep Learning; Machine Learning; Active Learning; Consensus Contriol; Electric Power Engineering; Elkraftteknik;

    Abstract : One of the important developments in the electric power system is the fast increasing amount of data. An example of such data is formed by the voltages and currents coming from power-quality measurements. READ MORE