Sökning: "Rule-based method"

Visar resultat 1 - 5 av 37 avhandlingar innehållade orden Rule-based method.

  1. 1. Rule-Based Approaches for Large Biological Datasets Analysis : A Suite of Tools and Methods

    Författare :Marcin Kruczyk; Jan Komorowski; Joaquin Dopazo; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rough sets; peak finding; gliomas; Alzheimer disease; STAT3; machine learning; feature selection; next generation sequencing;

    Sammanfattning : This thesis is about new and improved computational methods to analyze complex biological data produced by advanced biotechnologies. Such data is not only very large but it also is characterized by very high numbers of features. LÄS MER

  3. 2. Human mobility behavior : Transport mode detection by GPS data

    Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Kenneth Carling; Gyözö Gidofalvi; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labeling;

    Sammanfattning : GPS tracking data are widely used to understand human travel behavior and to evaluate the impact of travel. A major advantage with the usage of GPS tracking devices for collecting data is that it enables the researcher to collect large amounts of highly accurate and detailed human mobility data. LÄS MER

  4. 3. An Improved Belief Rule-Based Expert System with an Enhanced Learning Mechanism

    Författare :Raihan Ul Islam; Karl Andersson; Mohammad Shahadat Hossain; Christian Becker; Luleå tekniska universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Pervasive Mobile Computing; Distribuerade datorsystem;

    Sammanfattning : Belief rule-based expert systems (BRBESs) are widely used in various domains which provide an integrated framework to handle qualitative and quantitative data by addressing several kinds of uncertainty. The correctness of the data significantly affects the accuracy of the BRBESs. LÄS MER

  5. 4. A Multi-Dimensional Approach to Human Mobility and Transportation Mode Detection Using GPS Data

    Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Mengjie Han; Kevin Heaslip; Högskolan Dalarna; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labelling;

    Sammanfattning : GPS tracking data is an essential resource for analyzing human travel patterns and evaluating the effects on transportation systems. The primary challenge, however, is to accurately identify the modes of transportation within unlabeled GPS data. These approaches range from simple rule-based systems to advanced machine-learning techniques. LÄS MER

  7. 5. High order trapezoidal rule-based quadratures for boundary integral methods on non-parametrized surfaces

    Författare :Federico Izzo; Olof Runborg; Robert Krasny; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Matematik; Mathematics;

    Sammanfattning : This thesis is concerned with computational methods for solving boundary integral equations (BIE) on surfaces defined without explicit parametrization, called Implicit Boundary Integral Methods (IBIM). Using implicit methods for describing surfaces, such as the level-set method, can be advantageous for complex geometries and problems where the surface evolves over time. LÄS MER