Sökning: "artificial neural networks"

Visar resultat 36 - 40 av 173 avhandlingar innehållade orden artificial neural networks.

  1. 36. Some applications of artificial neural networks in blast furnace operation

    Författare :Guangqing Zuo; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Process Metallurgy; Processmetallurgi;

    Sammanfattning : .... LÄS MER

  3. 37. Equivariant Neural Networks for Biomedical Image Analysis

    Författare :Karl Bengtsson Bernander; Ingela Nyström; Michal Kozubek; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : While artificial intelligence and deep learning have revolutionized many fields in the last decade, one of the key drivers has been access to data. This is especially true in biomedical image analysis where expert annotated data is hard to come by. LÄS MER

  4. 38. Artificial neural network modelling in nuclear fusion research and engineering at the JET tokamak

    Författare :Jakob Svensson; KTH; []
    Nyckelord :MLP artificial neural networks; Bayesian probability theory; nuclear fusion. Plasma physics. Comples modelling. Charge exchange spectroscopy;

    Sammanfattning : .... LÄS MER

  5. 39. Decentralized Learning of Randomization-based Neural Networks

    Författare :Xinyue Liang; Saikat Chatterjee; Mikael Skoglund; Nikolaos Deligiannis; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Machine learning and artificial intelligence have been wildly explored and developed very fast to adapt to the expanding need for almost every aspect of human development. When stepping into the big data era, siloed data localization has become a big challenge for machine learning. LÄS MER

  7. 40. Pith location and annual ring detection for modelling of knots and fibre orientation in structural timber : A Deep-Learning-Based Approach

    Författare :Tadios Habite; Anders Olsson; Osama Abdeljaber; Jan Oscarsson; Welf Löwe; Julie Cool; Linnéuniversitetet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Sawn timber; Pith location; Deep learning; Artificial neural networks; Convolutional neural network; Conditional generative adversarial network; Knot detection; Knot modelling; Knot reconstruction; Fibre orientation; Annual ring profile; Byggteknik; Civil engineering;

    Sammanfattning : Detection of pith, annual rings and knots in relation to timber board cross-sections is relevant for many purposes, such as for modelling of sawn timber and for real-time assessment of strength, stiffness and shape stability of wood materials. However, the methods that are available and implemented in optical scanners today do not always meet customer accuracy and/or speed requirements. LÄS MER