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Filtering by: Creator Chen, Heng Zhang Remove constraint Creator: Chen, Heng Zhang Decade 2020-2029 Remove constraint Decade: 2020-2029

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  • Transition Metal Oxides for Aqueous Electrochemical Energy Storage

    Creator:
    Jiang, Heng
    Abstract:
    In the 21st century, environmental deterioration is now an indisputable fact. Reliable and economically viable electricity systems based on renewable sources are urgently needed to replace the environmentally detrimental fossil fuels. The feasibility of incorporating renewable-but-intermittent solar and wind energy heavily depends on the development of cost-effective and safe technologies,...
    Resource Type:
    Dissertation
    Full Text:
    other members of the Ji Group: Dr. Zhenyu Xing, Dr.Lu Zhang, Dr. Ismael Rodriguez Perez, Dr. Xin Chen

  • Mental Health in Eastern Europe during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis of Depression and Anxiety

    Creator:
    Miller, Saylor O.
    Abstract:
    Objective: To perform a systematic review and meta-analysis on the prevalence rate of mental health disorders including anxiety, depression, and insomnia during the COVID-19 pandemic in Eastern Europe in the general population, as well as within select sub-populations (i.e., students, general healthcare workers, and frontline workers). Data sources: Articles in PubMed,...
    Resource Type:
    Honors College Thesis
    Full Text:
    -analysis study: Jiyao Chen, Stephen X. Zhang, Roger S. McIntyre, Wen Xu, Allen Yin, Bryan Z. Chen, Andrew

  • Atomic Bifurcations of Degenerate Curves in 3D Linear Symmetric Tensor Fields

    Creator:
    Hongyu, Nie
    Abstract:
    Tensor field topology is of importance to research areas of medicine, science, and engineering. Degenerate curves are one of the crucial topological features that provide valuable insights for tensor field visualization. In this thesis, we study the atomic bifurcations of degenerate curves in 3D linear second-order symmetric tensor fields, and...
    Resource Type:
    Masters Thesis
    Full Text:
    Bifurcations of Degenerate Curves in 3D Linear Symmetric Tensor Fields Abstract approved: Eugene Zhang

  • Evaluating the Effects of Multiple Environmental Stressors on the Gulf of Alaska Pacific Cod Fishery Using a Dynamic Stress-Scape Framework

    Creator:
    Blaisdell, Josiah
    Abstract:
    The Gulf of Alaska (GOA) is home to the most productive fisheries in the world. In 2019, 2.2 million metric tons of fish were shipped from Alaska to destinations all over the world (NOAA Fisheries, 2019). From 2014-2016 and, more recently, in 2019 the largest heatwaves in recorded history caused...
    Resource Type:
    Masters Thesis
    Full Text:
    Yue Zhang The Gulf of Alaska (GOA) is home to the most productive fisheries in the world. In 2019

  • Visualization of N-ary Relationships

    Creator:
    Qu, Botong
    Abstract:
    N-ary relationships, which relate N entities where N is not necessarily two, are omnipresent in real life. In this thesis, we develop a visualization technique for N-ary relationships. First, we propose a visual metaphor that utilizes vertices and polygons to represent entities and N-ary relationships. Based on this visual metaphor,...
    Resource Type:
    Dissertation
    Full Text:
    -ary Relationships Abstract approved: Eugene Zhang N-ary relationships, which relate N entities

  • Analysis of Convolutional Neural Network Image Pre-processing Methods

    Creator:
    Jacobsen, Matthew
    Abstract:
    Oceanic plankton have both a large impact on our oceans health and atmo- spheric balance of Co2. The overall health of planktonic life is determined by many physical, chemical, and ecological factors, that drive taxonomic abundances and the relative amount of non-living biomass called detritus. Recent advances in microscopic imaging...
    Resource Type:
    Honors College Thesis
    Full Text:
    Zhang Oceanic plankton have both a large impact on our oceans health and atmo- spheric balance of Co2

  • A case for application-based linear transformers : applied towards text-to-spectrogram

    Creator:
    Agostinelli, Victor
    Abstract:
    Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
    Resource Type:
    Masters Thesis
    Full Text:
    approved: Lizhong Chen Various natural language processing (NLP) tasks necessitate deep models that are

  • Leveraging transformer encoder output for effective token summary in simultaneous translation

    Creator:
    Raffel, Matthew
    Abstract:
    Simultaneous speech-to-text translation remains a difficult yet important problem for modern machine learning models whereby a text translation is generated concurrently with receiving partial speech inputs. One state-of-the-art simultaneous speech-to-text model is the augmented memory transformer whose encoder breaks a speech input into fixed-size overlapping segments composed of left, right,...
    Resource Type:
    Honors College Thesis
    Full Text:
    : Lizhong Chen Simultaneous speech-to-text translation remains a difficult yet important problem for modern

  • Machine learning for computer architecture design and optimization

    Creator:
    Penney, Drew
    Abstract:
    Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
    Resource Type:
    Dissertation
    Full Text:
    Chen Machine learning applied to computer architecture has rapidly transitioned from a theoretical

  • Machine Learning for Architectural Design Space Exploration and Resource Control

    Creator:
    Penney, Drew D.
    Abstract:
    Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
    Resource Type:
    Masters Thesis
    Full Text:
    Learning for Architectural Design Space Exploration and Resource Control Abstract approved: Lizhong Chen