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Filtering by: Creator Hedge, Z. N. Remove constraint Creator: Hedge, Z. N. Committee Member Raich, Raviv Remove constraint Committee Member: Raich, Raviv

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  • Simultaneous segmentation and classification of bird song using CNN

    Creator:
    Narasimhan, Revathy
    Abstract:
    In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: Simultaneous Segmentation and Classification of Bird Song Using CNN Abstract approved: Xiaoli Z

  • Detection and Segmentation of Bird Song in Noisy Environments

    Creator:
    Neal, Lawrence W.
    Abstract:
    Recent work in machine learning concerns the detection and identification of bird species from audio recordings of their vocalizations. Such analysis can yield valuable ecological information concerning the activity and distribution of species in the wild. Current species-identification methods require individual syllables of bird audio as input, but field-collected audio...
    Resource Type:
    Honors College Thesis
    Full Text:
    and Segmentation of Bird Song in Noisy Environments Abstract approved: Xiaoli Z. Fern Recent work

  • Supervised Hierarchical Segmentation for Bird Bioacoustics

    Creator:
    Tjahja, Teresa V.
    Abstract:
    Bioacoustics analysis can be used to conduct environmental monitoring by detecting the presence of birds species. This analysis usually involves identifying the species from their calls. In most frameworks, bird song syllables are extracted from audio recordings and individual syllables are input to a classifier to identify the species. Extraction...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Xiaoli Z. Fern Bioacoustics analysis can be used to conduct environmental monitoring

  • 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:
    Li and Dr. Xiaoli Z. Fern, for their guidance, patience, motivation, immense knowledge, as well as

  • Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

    Creator:
    Lei, Peng
    Abstract:
    This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
    Resource Type:
    Dissertation
    Full Text:
    lengths of T/2 n and T , which are computed by the previous layer L− 1. In (a), the output features are

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
    Full Text:
    distribution q(y, z, θ|φ̂, α̂), where φ̂ = {φ̂n}Nn=1 and α̂ = {α̂k}Kk=1 are the parame- ters. Then we factorize

  • 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:
    sensor interface circuits. It extends the order of a conventional incremental ADC from N to (2N-1) by

  • Hybrid AOA and TDOA Solution for Transmitter Positioning

    Creator:
    Ahmed, Sarah A.
    Abstract:
    Accurate positioning has become an active research area in recent years. It has a wide range of applications in many fields such as navigation, asset tracking, health care, proximity marketing/location-based advertising, and sport analytics. Transmitter positioning via radio frequency (RF) signals is the most widely encountered scenario, and it uses...
    Resource Type:
    Masters Thesis
    Full Text:
    array of N collinear receiving antennas are employed to estimate the transmitter position. In order to

  • Action Selection for Heterologous Control of a Continuous-Output Myoelectric Prosthesis

    Creator:
    Sylwester, Sean T.
    Abstract:
    Significance: Movement intent decoding algorithms can interpret human bioelectrical signals to control prosthetic limbs with many degrees of freedom (DOFs). This work involves decoding volitional movement intent from surface electromyogram (sEMG) signals to control prosthetic arms. To train these algorithms, patients flex their muscles to “follow” a movement prompt, and...
    Resource Type:
    Masters Thesis
    Full Text:
    set of n available muscle actions A, the AS algorithms search for the size-m subset of A with the

  • Compensation method of the excess loop delay in continuous-time delta-sigma ADCs based on model matching approach

    Creator:
    Guo, Jia
    Abstract:
    Continues-Time (CT) Delta-Sigma (ΔΣ) Analog-to-Digital Converters (ADCs) have one important constrain, namely the excess loop delay. Most previous excess lop delay compensation methods need to know the exact value of the excess loop delay in advance. However, the value of the excess loop delay is a uniformly distribution random variable....
    Resource Type:
    Masters Thesis
    Full Text:
      Figure 2.2. N-bit Resistor-String DAC