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Filtering by: Creator Schreiber, Alan S. Remove constraint Creator: Schreiber, Alan S. Resource Type Dissertation Remove constraint Resource Type: Dissertation Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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  • In vivo detoxification of acetic acid in Saccharomyces cerevisiae

    Creator:
    Ding, Jun
    Abstract:
    The studies described in this thesis were motivated by ongoing efforts to develop lignocellulosic biomass as an efficient and practical source of renewable energy. Enormous problems complicate these efforts to reduce reliance on greenhouse gas-generating fossil fuels. Simply obtaining the fermentable sugars available in the cellulose and hemicellulose components of...
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    cerevisiae Abstract approved: Alan T. Bakalinsky The studies described in this thesis

  • Surface-Enhanced Infrared Absorption Gas Sensing Incorporating Advanced Plasmonic Nanostructures and Nano-Composite Materials

    Creator:
    Chong, Xinyuan
    Abstract:
    This dissertation focuses on extending the application scope of surface enhanced infrared absorption spectroscopy to gas sensing. The method we propose is incorporating plasmonic nanostructures with nano-composite material, metalorganic framework, which can selectively preconcentrate certain gas molecules into the nanopores. The preconcentrating property is first demonstrated by applying metal-organic framework...
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    Dissertation
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    . Abstract approved: ______________________________________________________ Alan X. Wang This

  • Learning ranking functions for efficient search

    Creator:
    Xu, Yuehua
    Abstract:
    This dissertation explores algorithms for learning ranking functions to efficiently solve search problems, with application to automated planning. Specifically, we consider the frameworks of beam search, greedy search, and randomized search, which all aim to maintain tractability at the cost of not guaranteeing completeness nor optimality. Our learning objective for...
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    Dissertation
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    : Alan Fern This dissertation explores algorithms for learning ranking functions to efficiently solve

  • Object Tracking-by-Segmentation in Videos

    Creator:
    Chen, Sheng
    Abstract:
    This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
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    Dissertation
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    -by-Segmentation in Videos Abstract approved: Alan P. Fern This thesis focuses on the problem of

  • Investigating Latent State and Uncertainty Representations in Reinforcement Learning

    Creator:
    Koul, Anurag
    Abstract:
    Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
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    approved: Alan Fern Learning latent space representations of high-dimensional world states has been at

  • Anomaly Detection: Theory, Explanation and User Feedback

    Creator:
    Siddiqui, Md Amran
    Abstract:
    Anomaly detection has been used in variety of applications in practice, including cyber-security, fraud detection and detecting faults in safety critical systems, etc. Anomaly detectors produce a ranked list of statistical anomalies, which are typically examined by human analysts in order to extract the actual anomalies of interest. Unfortunately, most...
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    Dissertation
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    : Theory, Explanation and User Feedback Abstract approved: Alan P. Fern Anomaly detection has been used

  • Stake-Free Evaluations of Black-Box Optimization and Spatio-Temporal Graph Network Algorithms

    Creator:
    Merrill, Erich, III
    Abstract:
    Papers proposing novel machine learning algorithms tend to present the algorithm or technique in question in the best possible light. The standard practice is generally for authors to emphasize their proposed algorithms' performance in the precise setting where it is maximally impressive, often by only fully evaluating their best known...
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    Dissertation
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    Abstract approved: Alan Fern Papers proposing novel machine learning algorithms tend to present the

  • Plasmonic Nano-Antenna and Modulator for On-Chip Optical Interconnects

    Creator:
    Gao, Qian
    Abstract:
    With the rapid growth of worldwide internet traffic in data centers and clouds, silicon photonics has been utilized to provide enormous data bandwidth and outstanding energy efficiency over electronics. Computing servers and storage servers that are connected by communication links are relying more on optical rather than electrical means mainly...
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    Dissertation
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    . Abstract approved: ______________________________________________________ Alan X. Wang With

  • Paleoclimate, paleoventilation, and paleomagnetism as recorded in a 17kyr marine sediment record from the SE Alaska margin

    Creator:
    Davies, Maureen Helen
    Abstract:
    The deglacial behavior of the sub-Arctic North Pacific is poorly constrained, with many published records suffering from limited age control due to extensive post- depositional biogenic carbonate dissolution. Potential alternative dating methods could include the correlation of stable-isotopic and/or paleomagnetic secular variation records to an independently-dated regional template, however no...
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    Dissertation
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    :__________________________________________________ Alan C. Mix Joseph S. Stoner The

  • Evaluation of partial discharge in inverter driven medium voltage propulsion coils

    Creator:
    Ramme, André
    Abstract:
    Advancements in power electronics to higher power levels and faster switching times allow new machine and systems designs, but also create higher stresses on electric machinery insulation. High performance, pulse-width modulated (PWM) inverters are now available for medium voltage drive systems, and are being considered by the U.S. Navy as...
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    Redacted for privacy ACKNOWLEDGMENT First, I would like to thank my major professor, Dr. Alan K