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Filtering by: Creator Chinnayakanahalli, Kiran J. Remove constraint Creator: Chinnayakanahalli, Kiran J. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Visualizing Contribution Patterns in Open Source

    Creator:
    Naik, Rithika Kiran
    Abstract:
    Open Source software gives users the freedom to copy, modify and redistribute source code without legal entanglements. The evolution of these software communities usually depend a lot on how the participating developers and users interact and co-operate with each other. Over the past few years, open source software have become...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Rithika Kiran Naik for the

  • Efficient Deep Learning Methods for Biomedical Applications

    Creator:
    Thota, Narayana Bhagirath
    Abstract:
    Deep Learning methods have been gaining a lot of significance for various Biomedical applications for diagnosing several types of diseases. Two applications considered here are: 1) Diabetic Retinopathy Detection and 2) ECG signal Classification (or Arrhythmia Detection). Diabetic Retinopathy (DR) is a major cause of blindness in Diabetic patients, and...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: ______________________________________________________ David J. Allstot The diagnosis

  • Validation of Wave Energy Converter Models and the Development of Control Strategies in WEC-Sim

    Creator:
    So, Ratanak
    Abstract:
    When the term renewable energy is mentioned in a conversation, wind, solar, and hydro energy typically come to mind. However, there is one major resource that has remained mostly untapped: wave energy. Wind and solar power technologies are well established around the world but they cannot generate electricity all the...
    Resource Type:
    Dissertation

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis
    Full Text:
    ∑ j=0 C∑ k=0 ∇Lossn(yi,j,k − ŷi,j,k) = 0 (3.1) where N is the total training samples, H, W and C

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    ) to pseudo-residuals. Let J be the number of the 20 tree’s leaves. The tree partitions the feature

  • Enhancing Search-Based Techniques with Information Control Dependencies

    Creator:
    Aburas, Ali
    Abstract:
    Software testing is a very important task during software development and it can be used to improve the quality and reliability of the software system. One potential way to reduce the cost and increase the efficiency of software testing is to generate test data automatically. Search-based approaches successfully generate unit...
    Resource Type:
    Dissertation

  • Efficient Spectrum Sensing and Sharing Techniques for Dynamic Wideband Spectrum Access

    Creator:
    Khalfi, Bassem
    Abstract:
    Besides enabling an enhanced mobile broadband access, fifth-generation (5G) wireless mobile networks are envisioned to support the connectivity of massive, heterogeneous Internet of Things (IoT) devices. Connecting these devices through 5G systems and providing them with their needed data rates require huge amounts of spectrum and power resources, thus calling...
    Resource Type:
    Dissertation

  • A Generation Prioritization Method for Power System Restoration with Renewable Resources

    Creator:
    Mate, Adam
    Abstract:
    The electrical grid is a key component of the Nation's critical infrastructure. Its continuous and reliable operation is of vital importance; any system-wide disruption would have a debilitating impact on crucial services, public health and safety, the economy, and the national security of the United States. High-impact low-frequency events pose...
    Resource Type:
    Dissertation
    Full Text:
    Prioritization Method for Power System Restoration with Renewable Resources Abstract approved: Eduardo J

  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation
    Full Text:
    i s i n g s t u d e n t s h e n p r o j e c t T a s k T r a c e r c o m m e n t s o n t h e s i

  • Fine-Grained Object Recognition Under Limited Training Data

    Creator:
    Lam, Michael Q.
    Abstract:
    This dissertation addresses object recognition in challenging settings, where distinct object classes are visually very similar (e.g., species of birds and insects) and/or access to training examples of object classes is limited (e.g., due to the associated high costs of data annotation). In this dissertation, we present a variety of...
    Resource Type:
    Dissertation
    Full Text:
    subsequent iterations j, we perform search using a mixture of the learned heuristic from the previous