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Filtering by: Creator Bell, Randy Lee Remove constraint Creator: Bell, Randy Lee Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Machine Learning Methods for the Discovery and Analysis of MicroRNAs

    Creator:
    Bell, Jimmy D.
    Abstract:
    MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
    Resource Type:
    Masters Thesis
    Full Text:
    Bell for the degree of Master of Science in Computer Science presented on March 9, 2020. Title

  • Dynamic and Dual Streaming Methods for H.264 Video and Parallel Performance Modeling

    Creator:
    Johnson, Taylor N.
    Abstract:
    Traditional approaches to streaming H.264 video over a network typically rely on a single method of transport (i.e., reliable or unreliable) and/or use static values for parameters that can have a significant negative impact on the perceptual quality of the received video. This dissertation presents a dynamic method for wireless...
    Resource Type:
    Dissertation
    Full Text:
    : Ben Lee Traditional approaches to streaming H.264 video over a network typically rely on a single

  • Design techniques for clocking high performance signaling systems

    Creator:
    Hanumolu, Pavan Kumar
    Abstract:
    Scaling of CMOS technology has progressed relentlessly for the past several decades. In order for this unprecedented scaling to benefit the performance of large digital systems, the communication bandwidth between integrated circuits (ICs) must scale accordingly. However, interconnect technology does not scale as aggressively, making communication between chips the major...
    Resource Type:
    Dissertation
    Full Text:
    forward to the continued friendship and collaboration. Randy Mooney of Intel Circuit Research Labs

  • Integrating learning and search for structured prediction

    Creator:
    Doppa, Janardhan Rao
    Abstract:
    We are witnessing the rise of the data-driven science paradigm, in which massive amounts of data - much of it collected as a side-effect of ordinary human activity - can be analyzed to make sense of the data and to make useful predictions. To fully realize the promise of this...
    Resource Type:
    Dissertation

  • Partitioning-Guided K-Means for Effective Empty Cluster Resolution in Extreme Model Compression

    Creator:
    Huang, Tianhong
    Abstract:
    Compactness in deep learning can be critical to a model’s viability in low-resource applications, and a common approach to extreme model compression is quantization. We consider Iterative Product Quantization (iPQ) with Quant-Noise [Fan et al., 2020] to be state-of-the-art in this area, but this quantization framework suffers from preventable inference...
    Resource Type:
    Masters Thesis
    Full Text:
    thesis committee, Dr. Ben Lee and Dr. Jimmy Yang, for their kind support and timely feedback. I am also

  • Gray codes and their applications

    Creator:
    Anantha, Madhusudhanan
    Abstract:
    An n-bit Gray code is an ordered set of all 2n binary strings of length n. The special property of this listing is that Hamming distance between consecutive vectors is exactly 1. If the last and first codeword also have a Hamming distance 1 then the code is said to...
    Resource Type:
    Dissertation
    Full Text:
    gratitude to Dr. Ben Lee and Dr. Thinh Nguyen, for serving in my committee. I would like to convey my

  • Methods to improve the reliability and resiliency of near/sub-threshold digital circuits

    Creator:
    Crop, Joseph A.
    Abstract:
    Energy consumption is one of the primary bottlenecks to both large and small scale modern compute platforms. Reducing the operating voltage of digital circuits to voltages where the supply voltage is near or below the threshold of the transistors has recently gained attention as a method to reduce the energy...
    Resource Type:
    Dissertation

  • Advances in side-channel cryptanalysis : microarchitectural attacks

    Creator:
    Aciiçmez, Onur
    Abstract:
    Cryptographic devices leak timing and power consumption information that is easily measurable, radiation of various levels, and more. Such devices also have additional inputs, other than plaintext and keys, like voltage, which can be modified to force the device to produce certain faulty outputs that can be used to reveal...
    Resource Type:
    Dissertation
    Full Text:
    formed a basis for this thesis. I also thank Dr. Bella Bose, Dr. Timothy Budd, Dr. Ben Lee, Dr. Lien

  • 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:
    antenna pairs. Bell Laboratories layered space-time (BLAST) is a transceiver architecture for offering SM

  • Characterizing and Addressing Dataset Shift with Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
    Resource Type:
    Dissertation