Browsing Theses and Dissertations(library) by Title
Now showing items 1271-1290 of 6459
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Death Of The American Dream: The Revolutionary Meaning Of Infant Mortality And Mourning In Hannah Webster Foster's the Coquette
(English, 2007-10-08)This thesis explores the broader implications of Hannah Webster Foster's The Coquette through an acknowledgment and assessment of a male audience. The Coquette is a seduction narrative that is linked through form and ... -
The Death Penalty Through The Lenses Of Criminology/Criminal Justice Students And Non-CRCJ Students
(Criminology & Criminal Justice, 2007-08-23)The purpose of this study is to examine the possible relationship between level of knowledge and perception regarding capital punishment among criminology/criminal justice (CRCJ) students in comparison with non-CRCJ majors. ... -
Decentering Neo-Bohemia in the Creative City: Cultural Marginalization, Economic Violence, and an Alternative Agenda of Diverse Cultural Scenes
Creative cities policy is an approach that advocates the planned development of consumption-oriented, mixed-use urban neighborhoods supporting artistic activity and a vibrant nightlife to create economic benefits. The ... -
DECENTERING WHITE SPACE IN THE TWO-YEAR COLLEGE ENGLISH CLASSROOM: A PERSPECTIVE THROUGH CRT, TRIBALCRIT, AND LATCRIT
(2021-05-06)White space in the educational system is an attitude, environment, ideology dominated by the white dominant voice and creed. This white space intimidates and oppresses Black, Indigenous, People of Color (BIPOC) students, ... -
Decision And Control In Distributed Cooperative Systems
(Electrical Engineering, 2008-09-17)This dissertation presents novel matrix-based approaches for decision and control in distributed cooperative systems such as wireless sensor networks. A novel matrix-based Discrete Event Controller has been implemented for ... -
Decision Tool for Prioritizing Bridge Repair or Replacement
(2021-12-21)Bridges are typically damaged/deteriorated due to various factors that require close evaluation to make informed decisions about repair/replacement. There are several aspects of study to evaluate bridges for repair/replacement, ... -
DECODING THE JOLLY GREEN GIANT: AN ANALYSIS OF GREEN GENTRIFICATION IN THE CONTEXT OF RAILS-TO-TRAILS POLICY
(2019-05-07)Recent urban public policies and planning initiatives have resulted in increased efforts to improve stewardship of our limited natural resources (sustainability), increase defenses against natural stressors (resiliency), ... -
Decomposition of Modules and Tensor Products over Principal Subalgebras of Truncated Polynomial Rings
(2022-08-15)The topic of my dissertation is to investigate the behavior of modules and tensor products over a truncated polynomial ring with prime characteristic. This investigation utilizes principal subalgebras of the truncated ... -
DECONVOLVING KERNEL REGRESSION FUNCTION ESTIMATION BASED ON RIGHT CENSORED DATA
(2021-08-16)In this study, we propose a new regression function estimator when the observa- tion is contaminated in the convolution model with error in independent variable. We want to examine the e ect of the error variables when ... -
Decoupling Of Hamiltonian System With Applications To Linear Quadratic Problem
(Electrical Engineering, 2008-08-08)This thesis provides a method of decoupling the Hamiltonian system with application to linear quadratic problem in control system. Resulting decoupled Hamiltonian system helps in formulating easy closed form solution to ... -
DECOUPLING-BASED APPROACH TO CENTRALITY DETECTION IN HETEROGENEOUS MULTILAYER NETWORKS
(2021-08-13)Graph analysis is one of the techniques widely used for data analysis. It is used extensively on single graphs. Its ability to capture entities and relationships makes it an attractive data model. Search on graphs, such ... -
Decreased Expression Of Microtubules In Confined Microenvironments Leads To A Reduced Effect Of Paclitaxel On Breast Cancer Cells
(Biomedical Engineering, 2014-12)Despite the current medical options available to patients, cancer cells frequently remain after treatment and metastasize. This is particularly significant because secondary cancers account for 90% of cancer-related ... -
DEDUPLICATION-AWARE PAGE CACHE IN LINUX KERNEL FOR IMPROVED READ PERFORMANCE
(2019-12-16)The amount of data being produced and consumed is increasing every day. As a result, there can be a large amount of redundant data in the storage system. Storing and accessing these duplicate data unnecessarily consumes ... -
Deep Generative Sculpting Models for Single Image 3D Reconstruction
(2023-12-18)In the field of computer vision, learning representations of images is an important task. This dissertation introduces deep generative sculpting models (DGSM), deep learning models that learn 3D representations of objects ... -
Deep Learning based Fast Mode Decision in HEVC Intra Prediction using Region Wise Feature Classification
(2018-12-07)The High Efficiency Video Coding (HEVC) standard has achieved best coding efficiency as compared to previous H.264/AVC standard. But the computational time of HEVC encoder has increased mainly because of the hierarchical ... -
Deep Learning Based Multi-Label Classification for Surgical Tool Presence Detection in Laparoscopic Videos
(2017-08-07)Laparoscopic surgery, Modern surgery, where the surgery is performed far away from the patient by inserting small incisions on the patient's body and the surgery is performed with a help of a video recorder and through ... -
DEEP LEARNING FOR MOLECULAR PROPERTY PREDICTION
(2023-08-14)Drug discovery has always been a crucial task for society, and molecular property prediction is one of the fundamental problem. It is responsible for identifying the target properties or severe side-effects, so that certain ... -
DEEP LEARNING FOR PROTEIN PROPERTY AND STRUCTURE PREDICTION
(2022-08-15)I present my work towards solving the fundamental, challenging, and valuable problem for protein property and structure prediction. Specifically, I focus on solving the problem from three critical aspects: (1) designing ... -
Deep Learning for Recognition of Objects, Activities, Faces, and Spatio-Temporal Patterns
A popular method in machine learning is Convolutional Neural Network (CNN). CNN had was of high interest to the research community in the 1990s, but after that its popularity receded compared to the Support Vector Machine ... -
DEEP LEARNING METHODS FOR IMAGE RESTORATION AND RECONSTRUCTION
(2021-04-19)The problem of image reconstruction and restoration refers to recovering the clean images from corrupted ones. Corruption or degradation can occur due to atmospheric conditions such as rain, fog, mist, snow, dust, and air ...