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Filtering by: Creator Jajja, Saad A. Remove constraint Creator: Jajja, Saad A. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Decade 2010-2019 Remove constraint Decade: 2010-2019

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  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    Machine Learning: Applications in Biology and Genomics Abstract approved: David A. Hendrix Machine

  • Location Privacy-Preserving Strategies for Secondary Spectrum Use

    Creator:
    Grissa, Mohamed
    Abstract:
    The scarcity of wireless spectrum resources and the overwhelming demand for wireless broadband resources have prompted industry, government agencies and academia within the wireless communities to develop and come up with effective solutions that can make additional spectrum available for broadband data. As part of these ongoing efforts, cognitive radio...
    Resource Type:
    Dissertation
    Full Text:
    emerged as an essential technology for enabling and promoting dynamic spectrum access and sharing, a

  • A Blockchains-Enabled Protocol for Distributed IoT Resource Sharing On-Demand

    Creator:
    Al-kalbani, Mohamed A.
    Abstract:
    In this thesis, we propose a Blockchain-based distributed protocol for enabling deployment of dynamic, on-demand IoT networks. Specifically, the proposed protocol leverages Blockchain technology to: (i) enable distributed and secure authentication, registration, and management of IoT devices; (ii) provide fast discovery of IoT resources and scalable and secure instantiation of...
    Resource Type:
    Masters Thesis
    Full Text:
    , 2018. Title: A Blockchains-Enabled Protocol for Distributed IoT Resource Sharing On-Demand Abstract

  • Toward computer vision for understanding American football in video

    Creator:
    Hess, Robin W.
    Abstract:
    In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish a different sub-task within a larger system for annotating, interpreting, and analyzing collections of American football video. The analysis of football video is useful in...
    Resource Type:
    Dissertation
    Full Text:
    -level computer vision algorithms that each accomplish a different sub-task within a larger system for

  • Robust and Efficient Classification of Videos in the Wild

    Creator:
    Mahasseni, Behrooz
    Abstract:
    Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...
    Resource Type:
    Dissertation
    Full Text:
    actions in videos is a long-standing problem in computer vision with a wide range of applications

  • Towards Long Short Term Memory Based Proactive In-Network Caching for Cloud RANs

    Creator:
    Tirupathi, Chittibabu
    Abstract:
    The rapid population growth in large urban cities has led to an unprecedented increase in both the number and the diversity of wireless devices and applications with varying quality of service requirements in terms of latency and data rates. LinkNYC is an example of an urban communication network infrastructure, which...
    Resource Type:
    Masters Thesis
    Full Text:
    In-Network Caching for Cloud RANs by Chittibabu Tirupathi A THESIS submitted to Oregon State

  • Transmission and Combining for Hybrid Automatic Repeat Request in Multiple-Input Multiple-Output Systems

    Creator:
    Whang, Younghoon
    Abstract:
    Hybrid automatic repeat request (HARQ) schemes combine packet retransmission with forward error correction to ensure a reliable communications. In multiple-input multiple output (MIMO) systems, interference cancellation (IC) detection is widely used where the detection and cancellation steps of the simultaneously transmitted data streams occur. In principle, the signal stream estimated...
    Resource Type:
    Dissertation
    Full Text:
    combine packet retransmission with forward error correction to ensure a reliable communications. In

  • The density signature

    Creator:
    Migler-VonDollen, Theresa
    Abstract:
    In real networks, identifying dense regions is of great importance. For example, in a network that represents academic collaboration, authors within the densest component of the graph tend to be the most prolific. Dense subgraphs often identify communities in social networks. And dense subgraphs can be used to discover regulatory...
    Resource Type:
    Dissertation
    Full Text:
    real networks, identifying dense regions is of great importance. For example, in a network that

  • Resource allocation optimization in large scale distributed systems

    Creator:
    Duong-Ba, Thuan Hong
    Abstract:
    We studied the problem of resource allocation in large scale distributed applications such as Online Social Networks (OSN) and Cloud Computing. In such settings, resource allocation schemes need to efficient as well as adaptive to the time-varying environments. The abstract resource allocation problem concerns with how to optimally use resources...
    Resource Type:
    Dissertation
    Full Text:
    resources are servers and the tasks are (a) the virtual machines in the cloud computing setting, and or