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Filtering by: Creator Park, Bo R. Remove constraint Creator: Park, Bo R. Committee Member Raich, Raviv Remove constraint Committee Member: Raich, Raviv

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  • An ensemble method for macrosoma prediction

    Creator:
    Qin, Lu
    Abstract:
    Macrosomia is a medical term describing a new baby born with an excessive birth weight (greater than 4000g). Fetal macrosomia may lead to both pregnancy complications, and increased risk of mother's and baby's health problems after birth. But the potential complications may be mitigated by a cesarean delivery. As such,...
    Resource Type:
    Masters Thesis
    Full Text:
    helped me on my project, specially my advisor Xiaoli Fern, my co-advisor Bo Zhang. Also, I would like

  • Active and Passive Control of Machine Tool Vibrations for High Speed and Accuracy

    Creator:
    Dumanli, Ahmet Alper
    Abstract:
    High-performance mechatronic systems are widely used in precision manufacturing equipment such as CNC machine tools, 3D-Printers, photolithography systems, industrial robots, and Coordinate Measuring Machines (CMMs). These equipment are utilized in producing parts and components for aviation, semiconductor, optics, and many other emerging industries, with geometric features and surface properties within...
    Resource Type:
    Dissertation

  • A force control algorithm for a wave energy linear test bed

    Creator:
    Henshaw, Nathan R.
    Abstract:
    Researchers at Oregon State University, focusing on the development of ocean wave energy converters, have designed and installed a unique linear test bed to aid in the characterization of these converters. Under the original control scheme, the linear test bed follows a position profile and is limited in its ability...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Nathan R. Henshaw for the degree

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation
    Full Text:
    almost as good as mask R-CNN without depending on a two-stage framework. Note that the training of the

  • Leveraging Structures of the Data in Deep Learning

    Creator:
    Li, Xingyi
    Abstract:
    The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
    Resource Type:
    Dissertation
    Full Text:
    trained with Faster R-CNN; (c) Sobolev-regularized cubic polynomial (Best Viewed in Color

  • Micropower incremental analog-to-digital converters

    Creator:
    Chen, Chia-Hung
    Abstract:
    Incremental ADCs (IADCs) have many advantages for low-frequency high-accuracy data conversion—they are easy to multiplex between channels, need simpler digital decimation filter, and allow extended counting with a Nyquist-rate ADC. A single-loop incremental ADC was designed and fabricated in 90 nm for a biosensor interface circuit. It incorporates one integrator,...
    Resource Type:
    Dissertation
    Full Text:
    my nephews: Bo-Jen, Bo-Wen. And, it is also dedicated to my father. He has been to the heaven

  • Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

    Creator:
    George, Damon A.
    Abstract:
    Movement intent decoders, which interpret volitional movement intent from human bioelectric signals, can be incorporated into modern neuroprostheses to offer people living with limb loss or paralysis the potential to regain their lost motor control. Machine learning methods have become the research standard for continuous decoders with high degrees of...
    Resource Type:
    Masters Thesis
    Full Text:
    ↵ = 1 |B(k)o↵ | X i2B(k)o↵ � x[i]� �✓[n](z[i]) �2 (3.3) r✓[n]L (k) o↵ = � 2 |B(k)o↵ | X i2B(k

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    mt ∈ P1 and `j ∈ P2 are available; and 3. for every m /∈ P1 ∪ P2 there exists a Rm,r available

  • A Micro Scale Magnetic Particle Imaging System

    Creator:
    Lenox, Philip A.
    Abstract:
    Magnetic particle imaging (MPI) is a biomedical imaging technique which detects the presence of magnetic nanoparticles which have been introduced into the specimen prior to imaging. MPI has shown promise for real-time imaging with spatial resolution comparable to magnetic resonance imaging (MRI). MPI research has focused predominantly on the development...
    Resource Type:
    Masters Thesis

  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation
    Full Text:
    labeled constraints and correctly labeled constraints used in the comparison of Figure 3.9. “R”: relative