Browsing by Subject "Information science"
Now showing items 1-12 of 12
-
An Information-Theoretic Analysis of X-Ray Architectures for Anomaly Detection
(2018)X-ray scanning equipment currently establishes a first line of defense in the aviation security space. The efficacy of these scanners is crucial to preventing the harmful use of threatening objects and materials. In this ... -
Design and Usability Testing of a Mobile Phone-Based Patient Management System for Women in Rural Kenya
(2014)Every day, approximately 800 women die from pregnancy-related complications. Most of these deaths are avoidable. Care from a skilled provider before, during, and after delivery has been shown to prevent a majority of maternal ... -
Designing Quantum Channels Induced by Diagonal Gates
(2023)The challenge of quantum computing is to combine error resilience with universal computation. Diagonal gates such as the transversal T gate play an important role in implementing a universal set of quantum operations. We ... -
Essays on Information and Dynamic Incentives
(2023)This dissertations consists of three essays on information and dynamic incentives. In Chapter 1, I study the value of information in monotone decision problems where the action spaces are potentially multidimensional. As ... -
FUNDAMENTAL LIMITS FOR COMMUNITY DETECTION IN LABELLED NETWORKS
(2020)The problem of detecting the community structure of networks as well as closely related problems involving low-rank matrix factorization arise in applications throughout science and engineering. This dissertation focuses ... -
Integrating Computer Architecture and Coding Theory to Advance Emerging Memory Technologies
(2020)New memory technologies constantly emerge promising higher density, bandwidth, latency, and power efficiency comparing to traditional solutions. However, these technologies often suffer from substantial drawbacks like limited ... -
Locally Adaptive Protocols for Quantum State Discrimination
(2021)This dissertation makes contributions to two rapidly developing fields: quantum information theory and machine learning. It has recently been demonstrated that reinforcement learning is an effective tool for a wide variety ... -
Minimax Fairness in Machine Learning
(2022)The notion of fairness in machine learning has gained significant popularity in the last decades, in part due to the large number of decision-making models that are being deployed on real-world applications, which have presented ... -
MITIGATING COHERENT NOISE
(2023)Stochastic errors in quantum systems occur randomly but coherent errors may be more damaging since they can accumulate in a particular direction. We develop a framework for designing decoherence free subspaces (DFS), that ... -
Theory and Application of SBS-based Group Velocity Manipulation in Optical Fibers
(2013)All-optical devices have attracted many research interests due to their ultimately low heat dissipation compared to conventional devices based on electric-optical conversion. With recent advances in nonlinear optics, it ... -
Using Knowledge-Based Models to Teach Complex Lung IMRT Planning
(2019)Knowledge-based treatment planning models are commonly built from straightforward principles and utilize experience that it is able to learn from previous high-quality plans. This knowledge can be harnessed by having an ... -
VizMaps: A Bayesian Topic Modeling Based PubMed Search Interface
(2015)A common challenge that users of academic databases face is making sense of their query outputs for knowledge discovery. This is exacerbated by the size and growth of modern databases. PubMed, a central index of biomedical ...
