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  • Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical Modelling, and Deep Learning

    Creator:
    Krivova, Maria
    Abstract:
    Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
    Resource Type:
    Dissertation
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    . Title: Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical

  • Comparative Transcriptomics in Stress-Induced Rice

    Creator:
    Al-Bader, Noor M.
    Abstract:
    Rice is an important crop that feeds almost half the world population. As climate change models predict floods, drought and extreme temperatures in rice production areas, the need to better understand the genetic basis of adaptation and tolerance to abiotic and biotic stresses is vital to sustain our food supply....
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    Dissertation
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    . This was followed by statistical and transcriptome data analysis. The sequence data generated was

  • Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

    Creator:
    Briggs, Forrest
    Abstract:
    We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
    Resource Type:
    Dissertation
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    monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without

  • An ontology-based system for representation and diagnosis of electrocardiogram (ECG) data

    Creator:
    Dendamrongvit, Thidarat
    Abstract:
    Electrocardiogram (ECG) data are stored and analyzed in different formats, devices, and computer platforms. There is a need to have an independent platform to support ECG processes among different resources for the purposes of improving the quality of health care and proliferating the results from research. Currently, ECG devices are...
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    Dissertation
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    Ontology-based System for Representation and Diagnosis of Electrocardiogram (ECG) Data. Abstract approved

  • Signatures in the Subsurface - Big & Small Data Approaches for the Spatio-Temporal Analysis of Geologic Properties & Uncertainty Reduction

    Creator:
    Rose, Kelly Kathleen
    Abstract:
    Despite more than two centuries of exploration, including more than six million deep wellbores with depths exceeding 40,000 feet in some parts of the world, our ability to constrain subsurface processes and properties remains limited. Characteristics of the subsurface vary and can be analyzed on a variety of spatial scales....
    Resource Type:
    Dissertation
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    : Signatures in the Subsurface – Big & Small Data Approaches for the Spatio- Temporal Analysis of Geologic

  • Efficient key management protocols for mobile ad hoc networks

    Creator:
    Erdem, Özkan M.
    Abstract:
    In this thesis, novel solutions are proposed for key management issues in mobile ad hoc networks. Presented Hierarchical Binary Tree (HBT) based model is distributed, self-organizing, scalable and does not employ online key distribution authority or group manager. Two different group authentication and group key establishment protocols are proposed for...
    Resource Type:
    Dissertation
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    decryption operation is executed at the data processing station side. Schemes require small size of code and

  • Variational Typing and Its Applications

    Creator:
    Chen, Sheng
    Abstract:
    The study of variational typing originated from the problem of type inference for variational programs, which encode numerous different but related plain programs. In this dissertation, I present a sound and complete type inference algorithm for inferring types of all plain programs encoded in variational programs. The proposed algorithm runs...
    Resource Type:
    Dissertation
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    the reuse of data structures and algorithms. Second, it saves costs to develop and test programs

  • Perceptions of community hospital physicians on computerized physician order entry

    Creator:
    Churchill, Brian E.
    Abstract:
    Objectives: To identify the perceptions of community hospital physicians on computerized physician order entry. Design: Multi-method approach consisting of a mail survey of 659 community hospital physicians with active admitting privileges at three PeaceHealth, Inc., along with follow-up personal interviews with stratified random selection from completed survey. Measurements: Perceptions were...
    Resource Type:
    Dissertation
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    support of computers and specifically CPOE. These data appear to support the Diffusion of Innovation

  • Improving the Karatsuba-Ofman multiplication algorithm for special applications

    Creator:
    Erdem, Serdar S.
    Abstract:
    In this thesis, we study the Karatsuba-Ofman Algorithm (KOA), which is a recursive multi-precision multiplication method, and improve it for certain special applications. This thesis is in two parts. In the first part, we derive an efficient algorithm from the KOA to multiply the operands having a precision of 2[superscript...
    Resource Type:
    Dissertation
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    the ECDSA. We analyzed the profiling data obtained from a typical ECDSA imple- mentation. This

  • Harnessing Heterogeneity in Human Gut Microbiome Data

    Creator:
    Tataru, Christine
    Abstract:
    The focus of this thesis is to design, characterize, and apply novel computational methods and molecular systems to interrogate heterogeneous human gut microbiome-related phenomena. In Chapter 2, I design, implement, and characterize a method for embedding co-occurrence patterns derived from massive 16s amplicon datasets. I use this method to 1....
    Resource Type:
    Dissertation
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    : Harnessing Heterogeneity in Human Gut Microbiome Data Abstract approved: Maude M. David The focus of this