Search Constraints

Start Over
Filtering by: DOI 10.1007/s10750-011-0990-z Remove constraint DOI: 10.1007/s10750-011-0990-z

Search Results

  • Computing entropy for Z²-actions

    Creator:
    Pierce, Larry A.
    Abstract:
    For a certain class of Z²-actions, we provide a proof of a conjecture that the ratio of the Perron eigenvalues of the transfer matrices of the free boundary restrictions converge to the entropy of that action. Also, a novel method for computing the entropy of Z²-actions is conjectured.
    Resource Type:
    Dissertation
    Full Text:
    for computing the entropy of Z 2-actions is conjectured. Computing Entropy for Z2-actions by

  • Error control techniques for the Z-channel

    Creator:
    Oprisan, Paul
    Abstract:
    The asymmetric nature of bit errors in several practical applications provides grounds for efficient error control techniques. The Z-channel model and special classes of codes like asymmetric error detection codes and t-asymmetric error correcting/d-asymmetric error detecting codes can be successfully used in ARQ protocols for feedback error control enhancement. This...
    Resource Type:
    Dissertation
    Full Text:
    Control Techniaues for the Z-channel Abstract approved: Bella Bose The asymmetric nature of bit errors

  • Calculation of Z-center energy levels

    Creator:
    Johnson, Wilbur Vance
    Resource Type:
    Dissertation
    Full Text:
    Calculation of Z-center energy levels CALCULATION OF Z

  • Beating Modes in Protostellar Disks

    Creator:
    Varga, Attila V.
    Abstract:
    Computational simulations of disks are becoming an important tool to predict the the evolution of protostars and disks to better understand the formation of planets. Past research has shown that the evolution of disks and their protostar can be altered through the interaction between gravity and hydrodynamic instabilities. We perform...
    Resource Type:
    Undergraduate Thesis
    Full Text:
    : https: //doi.org/10.1007/s10509-011-0668-z. [4] J.C.B Papaloizou and J.E. Pringle. The dynamical

  • Experimental and Mathematical Approaches for Overcoming Mass and Heat Transfer Limitations in Cryopreservation of Vertebral Bodies

    Creator:
    Forcier, Ryan J.
    Abstract:
    Successful cryopreservation of bone marrow in situ within vertebral bodies offers an opportunity for quick and convenient storage of a significant quantity of bone marrow stem cells, including hematopoietic- and mesenchymal-type stem cells. However, cryopreservation of more complex large tissues and organs, such as the vertebral body (VB), remains problematic....
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Adam Z. Higgins Successful cryopreservation of bone marrow in situ within vertebral

  • Bayesian optimization with empirical constraints

    Creator:
    Azimi, Javad
    Abstract:
    Bayesian Optimization (BO) methods are often used to optimize an unknown function f(•) that is costly to evaluate. They typically work in an iterative manner. In each iteration, given a set of observation points, BO algorithms select k ≥ 1 points to be evaluated. The results of those points are...
    Resource Type:
    Dissertation
    Full Text:
    : Bayesian Optimization with Empirical Constraints Abstract approved: Xiaoli Z. Fern Bayesian Optimization

  • Simultaneous segmentation and classification of bird song using CNN

    Creator:
    Narasimhan, Revathy
    Abstract:
    In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: Simultaneous Segmentation and Classification of Bird Song Using CNN Abstract approved: Xiaoli Z

  • Knowledge Base Completion Leveraging Natural Language Data

    Creator:
    Shahbazi, Hamed
    Abstract:
    Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
    Resource Type:
    Dissertation
    Full Text:
    Base Completion Leveraging Natural Language Data Abstract approved: Xiaoli Z. Fern Information about

  • Improving and Understanding Deep Models for Natural Language Comprehension

    Creator:
    Ghaeini, Reza
    Abstract:
    Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will first introduce several deep models...
    Resource Type:
    Dissertation
    Full Text:
    : Improving and Understanding Deep Models for Natural Language Comprehension Abstract approved: Xiaoli Z

  • Spray drying for erythrocyte preservation at room temperature

    Creator:
    Leu, Hsuan-Yu
    Abstract:
    Spray drying has been widely used in food science for long-term storage of products such as powdered milk, and it has recently been used for preservation of more temperature sensitive products such as human blood plasma and single-cell organisms. However, there are no previous reports of successful spray drying of...
    Resource Type:
    Masters Thesis
    Full Text:
    Temperature Abstract approved: Adam Z. Higgins Spray drying has been widely used in food science for