Sökning: "Complex Data"

Visar resultat 16 - 20 av 3919 avhandlingar innehållade orden Complex Data.

  1. 16. A data-driven decision support system for coherency of experts’ judgment in complex classification problems : The case of food security as a UN sustainable development goal

    Författare :Rueben Laryea; Kenneth Carling; Lena Nerhagen; Högskolan Dalarna; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Coherence; Efficiency; Decision Support System; Multi-Criteria; Risk; Classification Model; Decision Makers; Judgment; Alternatives; Prediction; Data; Integrate; Imprecision; Food Security; UTADIS; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : Everyday humans need to make individual or collective decisions. Often the decisions aim at achieving multiple goals (thus involving multiple criteria) and rely on the decision maker(s)’ intuition, internal data, as well as external sources of data. LÄS MER

  3. 17. Efficient and Practical Non-Blocking Data Structures

    Författare :Håkan Sundell; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; shared data structure; abstract data type; snapshot; lock-free; priority queue; synchronization; non-blocking; skip list; shared memory; deque; real-time; doubly linked list; dictionary; wait-free; shared register;

    Sammanfattning : This thesis deals with how to design and implement efficient, practical and reliable concurrent data structures. The design method using mutual exclusion incurs serious drawbacks, whereas the alternative non-blocking techniques avoid those problems and also admit improved parallelism. LÄS MER

  4. 18. Enhancing Salient Features in Volumetric Data Using Illumination and Transfer Functions

    Författare :Daniel Jönsson; Anders Ynnerman; Kwan-Liu Ma; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : The visualization of volume data is a fundamental component in the medical domain. Volume data is used in the clinical work-flow to diagnose patients and is therefore of uttermost importance. LÄS MER

  5. 19. Integrating multi-omics for type 2 diabetes : Data science and big data towards personalized medicine

    Författare :Klev Diamanti; Jan Komorowski; Claes Wadelius; Manfred Grabherr; Peter Spégel; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; type 2 diabetes; multi-omics; genomics; metabolomics; data science; machine learning; personalized medicine; Bioinformatics; Bioinformatik;

    Sammanfattning : Type 2 diabetes (T2D) is a complex metabolic disease characterized by multi-tissue insulin resistance and failure of the pancreatic β-cells to secrete sufficient amounts of insulin. Cells recruit transcription factors (TF) to specific genomic loci to regulate gene expression that consequently affects the protein and metabolite abundancies. LÄS MER

  7. 20. Toward higher-order network models

    Författare :Ludvig Bohlin; Martin Rosvall; Ludvig Lizana; Tina Eliassi-Rad; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; network science; complex systems; complex networks; network analysis; higher-order networks; community detection; citation networks; network modeling; fysik; Physics;

    Sammanfattning : Complex systems play an essential role in our daily lives. These systems consist of many connected components that interact with each other. LÄS MER