Sökning: "recurrent convolutional networks"

Visar resultat 1 - 5 av 8 avhandlingar innehållade orden recurrent convolutional networks.

  1. 1. 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

  3. 2. Drill Failure Detection based on Sound using Artificial Intelligence

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

    Sammanfattning : 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. LÄS MER

  4. 3. Deep learning approaches for image cytometry: assessing cellular morphological responses to drug perturbations

    Författare :Philip John Harrison; Ola Spjuth; Carolina Wählby; Andreas Hellander; Peter Horvath; Uppsala universitet; []
    Nyckelord :Deep Learning; Microscopy; Image Analysis; Farmaceutisk vetenskap; Pharmaceutical Science;

    Sammanfattning : Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitously in basic cell biology, medical diagnosis and drug development. In recent years deep learning has shown impressive results for many image cytometry tasks, including image processing, segmentation, classification and detection. LÄS MER

  5. 4. Quantifying neurodegeneration from medical images with machine learning and graph theory

    Författare :Gustav Mårtensson; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :;

    Sammanfattning : Neurodegeneration (or brain atrophy) is part of the pathological cascade of Alzheimer’s disease (AD) and is strongly associated with cognitive decline. In clinics, atrophy is measured through visual assessments of specific brain regions on medical images according to established rating scales. LÄS MER

  7. 5. Signal Processing Approaches for Interference Mitigation in Automotive Radar Systems

    Författare :Muhammad Rameez; Mats Pettersson; Mattias Dahl; Saleh Javadi; Igal Bilik; Blekinge Tekniska Högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automotive radar; autoregressive modeling; digital beamforming; interference mitigation; machine learning; mutual interference; pulse compression; radar signal processing; signal reconstruction; Systemteknik; Systems Engineering;

    Sammanfattning : Modern vehicles have several autonomous and semi-autonomous features, such as adaptive cruise control, lane keeping, adaptive headlights, and automatic emergency braking, ensuring a safe and comfortable driving experience. The vehicles typically rely on different sensors to "see" their surroundings and make decisions accordingly. LÄS MER