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Filtering by: Creator Remcho, Vincent T. Remove constraint Creator: Remcho, Vincent T. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Deletions and Insertions of the Symbol 0 and Asymmetric/Unidirectional Error Control Codes for the L₁ Metric

    Creator:
    Alqwaifly, Nawaf
    Abstract:
    This work gives some theory and efficient design of binary block codes capable of controlling the deletions of the symbol “0” (referred to as 0-deletions) and/or the insertions of the symbol “0” (referred to as 0-insertions). This problem of controlling 0-deletions and/or 0-insertions (referred to as symmetric 0-errors) is shown...
    Resource Type:
    Dissertation
    Full Text:
    . In particular, it is shown that t 0-insertion correcting codes are actually capable of controlling

  • An Anthology of Next-Generation WSNs and Transformative IoT Use-Cases

    Creator:
    Williams, Jennifer M.
    Abstract:
    The Internet of Things (IoT) paradigm brought an ever-increasing dependence on low-power devices to collect sensor data and transmit that information to the cloud, placing greater demand on connectivity and lifespan. In response, rapid worldwide innovation demonstrates the trade-offs in processing, communication, and energy consumption with diverse approaches to low-power...
    Resource Type:
    Dissertation
    Full Text:
    , and many other critical constraints for complex use-cases, such as track-and-trace (T&T). This work ex

  • The Evolution of Software Entropy in Open Source projects: An Empirical Study

    Creator:
    Mannan, Umme Ayda
    Abstract:
    Software entropy impacts the overall quality of software systems. High entropy hinders developers from understanding the purpose of a piece of code and can cause developers to make sub-optimal changes and introduce bugs. Researchers have used entropy scores to measure the naturalness of code. However, thus far, no one has...
    Resource Type:
    Technical Report
    Full Text:
    Engineering, 2009. ICSE 2009. IEEE 31st International Conference on. IEEE, 78–88. [15] Vincent J Hellendoorn

  • Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

    Creator:
    Alsulaimawi, Zahir Ahmed Hussein
    Abstract:
    Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them. Further, there have been concerns about the possibility of bias and discrimination in predictive applications. In order to address these issues, we propose an...
    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

  • Weak-supervision Time-series Analysis

    Creator:
    You, Zeyu
    Abstract:
    Efficient time-series analysis can impact multiple application domains such as motif discovery in gene analysis or music data, extracting spectro-temporal patterns in acoustic scene analysis, or annotating and classifying electrical bio-signals (such as ECG, EEG, and EMG) for medical applications. Time-series analysis involves a variety of tasks. To predict future...
    Resource Type:
    Dissertation
    Full Text:
    for B = 100 and T = 50 (f) on one cluster dataset; and (g) on two cluster dataset with K = 1 and K = 2

  • 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:
    Classes Latent Multitask Learning new video max y,v,h wTyvU TΦ(x, y,h) {{wv,y}, U} {ŷ, v̂} output

  • Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study

    Creator:
    Ahmed, Nahian and Hutchinson, Rebecca A.
    Abstract:
    A variety of important machine learning applications require predictions on test data with different characteristics than the data on which a model was trained and validated. In particular, test data may have a different relative frequency of positives and negatives (i.e., class distribution) and/or different mislabeling costs of false positive...
    Resource Type:
    Technical Report

  • From multitarget tracking to event recognition in videos

    Creator:
    Brendel, William
    Abstract:
    This dissertation addresses two fundamental problems in computer vision—namely, multitarget tracking and event recognition in videos. These problems are challenging because uncertainty may arise from a host of sources, including motion blur, occlusions, and dynamic cluttered backgrounds. We show that these challenges can be successfully addressed by using a multiscale,...
    Resource Type:
    Dissertation
    Full Text:
    activities. These spatiotemporal subvolumes are also referred to as 2D+t tracks, or tubes. We consider real

  • 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:
    DBs on the query RTT. . . . . . . . . . . . . . 159 5.7 Impact of increasing query privacy level, t