Search for dissertations about: "models"

Showing result 1 - 5 of 10180 swedish dissertations containing the word models.

  1. 1. Models and meaning : on management models and systems of meaning when implementing change

    Author : Jacob Hallencreutz; Luleå tekniska universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Kvalitetsteknik; Quality Technology and Management;

    Abstract : Change has become a vital business partner for many organizations. Survival of most organizations depends on their ability to implement adequate changes to support the organization. This thesis deals with questions about measurement systems, process based system models and organizational change with a specific focus on implementation challenges. READ MORE

  2. 2. Towards Intelligent Deformable Models for Medical Image Analysis

    Author : Ghassan Hamarneh; Chalmers University of Technology; []
    Keywords : shape modeling; deformable models; principal component analysis; echocardiography; snakes; active shape models; deformable spatio-temporal shape models; medial-based shape profiles; statistical shape variation; spatio-temporal shape analysis; magnetic resonance imaging; hierarchical regional principal component analysis; oral lesions; dynamic programming; segmentation; spring-mass model; shape deformation; optical flow; medical image analysis; artificial life; physics-based modeling; deformable organisms; digital color images; medial axis; active contour models;

    Abstract : Medical imaging continues to permeate the practice of medicine, but automated yet accurate segmentation and labeling of anatomical structures continues to be a major obstacle to computerized medical image analysis (MIA). Deformable models, with its profound roots in estimation theory, optimization, and physics-based dynamical systems, represent a powerful approach to the general problem of medical image segmentation. READ MORE

  3. 3. Hidden Markov models : Identification, control and inverse filtering

    Author : Robert Mattila; Bo Wahlberg; Eric Moulines; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden markov models; system identification; method of moments; inverse filtering; abdominal aortic aneurysm; medical; markov decision process; structure; Electrical Engineering; Elektro- och systemteknik;

    Abstract : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. READ MORE

  4. 4. Exploring models of time processing : effects of training and modality, and the relationship with cognition in rhythmic motor tasks

    Author : Olympia Karampela; Guy Madison; Linus Holm; Fredrik Ullén; Simon Grondin; Umeå universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; timing; motor timing; cogntion; dedicated models; intrinsic models; timing variability;

    Abstract : Timing can be defined as the ability to perceive temporal sequences and regulate timed behaviors. As in other animals, our ability to make accurate time estimations is crucial in order to accomplish several activities. Organisms can process time over a wide range of durations ranging from microseconds to days. READ MORE

  5. 5. Latent variable models for longitudinal twin data

    Author : Annica Dominicus; Juni Palmgren; Nancy L. Pedersen; Michael G. Kenward; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Latent variable models; twin models; variance components; change point models; non-ignorable nonresponse; likelihood ratio tests; Mathematical statistics; Matematisk statistik;

    Abstract : Longitudinal twin data provide important information for exploring sources of variation in human traits. In statistical models for twin data, unobserved genetic and environmental factors influencing the trait are represented by latent variables. In this way, trait variation can be decomposed into genetic and environmental components. READ MORE