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Showing 1 to 8 of 8 for “"Research Subject Categories::TECHNOLOGY::Information technology"”.

  1. Computational methods for multi-omic models of cell metabolism and their importance for theoretical computer science

    To paraphrase Stan Ulam, a Polish mathematician who became a leading figure in the Manhattan Project, in this dissertation I focus not only on how computer science can help biologists, but also on how biology can inspire computer scientists. On one hand, computer science provides powerful …

    cambridge Repository record for Computational methods for multi-omic models of cell metabolism and their importance for theoretical computer science (opens in a new tab)

  2. The contour tree image encoding technique and file format

    The process of contourization is presented which converts a raster image into a discrete set of plateaux or contours. These contours can be grouped into a hierarchical structure, defining total spatial inclusion, called a contour tree. A contour coder has been developed which fully describes these …

    cambridge Repository record for The contour tree image encoding technique and file format (opens in a new tab)

  3. On the use of optimal search algorithms with artificial potential field for robot soccer navigation : Computer Science, Master of Science

    … [3]. In order to avoid these limitations, this research focuses on devising a methodology of combining the artificial potential field with a selection of optimal search algorithms. This work investigates the performance of the method when using different optimal search algorithms such as the A* …

    massey Repository record for On the use of optimal search algorithms with artificial potential field for robot soccer navigation : Computer Science, Master of Science (opens in a new tab)

  4. Motion picture restoration

    … provide ample opportunity for further research.

    cambridge Repository record for Motion picture restoration (opens in a new tab)

  5. A shallow processing approach to anaphor resolution

    The thesis describes an investigation of the feasibility of resolving anaphors in natural language texts by means of a "shallow processing" approach which exploits knowledge of syntax, semantics and local focussing as heavily as possible; it does not rely on the presence of large amounts of world …

    cambridge Repository record for A shallow processing approach to anaphor resolution (opens in a new tab)

  6. Applying deep convolutional neural networks to the dragon boat partition problem

    lethbridge

  7. Combining state-of-the-art models for multi-document summarization using maximal marginal relevance

    lethbridge