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Filtering by: Creator Chiang, Po-Chieh Remove constraint Creator: Chiang, Po-Chieh Decade 2020-2029 Remove constraint Decade: 2020-2029

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  • Optimization of NH2-MIL-88B (Fe) for reactive oxygen species generation

    Creator:
    Shotton, Lewis
    Abstract:
    Metal-organic frameworks (MOFs) have emerged as promising candidates in novel cancer therapies due to their unique properties, including high surface area, tunable crystal size, and exposed metal ion active sites for catalysis. The MOF NH2-MIL-88B has shown potential use in cancer theranostics. Its open metal active sites catalyze the reduction...
    Resource Type:
    Honors College Thesis
    Full Text:
    /cg301738p Nirosha Yalamandala, B., Chen, P.-H., Moorthy, T., Huynh, T. M. H., Chiang, W.-H., & Hu, S.-H

  • Mining Temporal Patterns for Prediction: A Mixed-Integer Programming Approach

    Creator:
    Mansourifard, Farzaneh
    Abstract:
    In the past two decades, the advancement in data collection and storage have led to the accumulation of complex datasets. Consequently, various industries have sought data-driven solutions to predict and detect anomalies. Temporal patterns have emerged as potential features in prediction models that could improve the performance of the identification...
    Resource Type:
    Masters Thesis

  • Cost-Age-Time Data Organized Garbage Collection

    Creator:
    Lee, Dongjun
    Abstract:
    NAND flash based solid state drives (SSDs) require out-of-place updating due to the characteristics of flash memories. In addition, due to the mismatched granularity between read/write and erase operations, a cleaning policy involving garbage collection and wear leveling has to perform data migration incurring high overhead. Another challenge is that...
    Resource Type:
    Masters Thesis
    Full Text:
    between lowering erase cost and evenly distributing PE cycles [9,23,28,44]. For example, Chiang and Chang

  • Information theoretic approach to quantization and classification for signal processing, communications, and machine learning applications

    Creator:
    Thuan Nguyen D.
    Abstract:
    There are five main contributions of this dissertation. The first contribution is new closed-form expressions for channel capacity of a new class of channel matrices. The second contribution is the discovery of the structure for optimal binary quantizer and the associated methods for finding an optimal quantizer that maximizes mutual...
    Resource Type:
    Dissertation
    Full Text:
    Inequality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144 6.8.4 Boyd-Chiang Upper

  • Search for Non-Einsteinian Polarization Modes in the Gravitational-Wave Background using NANOGrav’s 12.5 Year Data Set

    Creator:
    Laal, Nima
    Abstract:
    I led a collaborative project involving a search for an evidence of a gravitational wave background (GWB) with all the spatial correlations allowed by general metric theories of gravity using NANOGrav’s 12.5 year data set. The search found no substantial evidence in favor of the existence of such correlations. The...
    Resource Type:
    Masters Thesis
    Full Text:
    -Pillado et al. 2021; Lin 2021; Chiang & Lu 2021; Lazarides et al. 2021a; Chakrabortty et al. 2021; Ellis

  • Deep Learning for Human and Biological Languages

    Creator:
    Hong, Junki
    Abstract:
    We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
    Resource Type:
    Dissertation
    Full Text:
    bpRNA sequence (bpRNA CRW 43036). The summed attention weights outgoing from each po- sition are binned

  • Advances in Simultaneous Translation

    Creator:
    Zheng, Renjie
    Abstract:
    Simultaneous translation, which translates concurrently with the source language speech, is widely used in many scenarios including multilateral organizations. However, it is well known to be one of the most challenging tasks for humans due to the simultaneous perception and production in two languages. On the other hand, simultaneous translation...
    Resource Type:
    Dissertation

  • Towards Annotation-Efficient Video Representation Learning

    Creator:
    Patravali, Jay Sanjay
    Abstract:
    Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms. This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...
    Resource Type:
    Masters Thesis

  • An Approach to Help End Users Become Aware of Privacy Risks in Home Automation

    Creator:
    Caglar, Turgay
    Abstract:
    Smart home devices, such as voice assistants, smart lights, and smart video doorbells have become a part of end users' daily lives. Many of these devices combine their features with other services and smart devices to create a simple and efficient user experience. This is partly because of the contribution...
    Resource Type:
    Masters Thesis
    Full Text:
    provided their learnings as a step towards a more secure home automation environment. Chiang et al. [20

  • Non-enzymatic electrochemical sensors based on functionalized nanomaterials

    Creator:
    Wu, Bo
    Abstract:
    Unlike other biosensing, electrochemical biosensor has the advantages of robustness, easy miniaturization, excellent detection limits, and capability in handling small analyte volumes. The detection selectivity of the electrochemical biosensors is mainly supported by bioreceptors. However, these receptors always suffer from the performance variation caused by the environment and the thermal-...
    Resource Type:
    Dissertation
    Full Text:
    - Chieh Wang, Sanjida Yeasmin, Dr. Ekembu K. Tanyi, and Ahasan Ullah), collaborators (Dr. Xianming Kong