Browsing by Title
Now showing items 1607-1626 of 9115
Decreasing Lead Bioaccessibility In Soils With Phosphate Amendments
(2006-08-15)
Ingestion of Pb-contaminated soil has been proposed as a primary exposure pathway for elevated blood Pb levels in young children (Dudka and Miller, 1999). Children are often exposed to soils contaminated with toxic metals ...
Dedekind Domains and the P-rank of Ext
(2017-04-21)
We address what can be said of torsion-free finite rank modules $A$ and $B$ over a Dedekind domain $R$ when their Ext's are isomorphic, extending an answer to Fuchs' Problem 43 and its dual by Goeters. We obtain a result ...
Deep genetic divergence in the Deep South: An integrative approach to species delimitation reveals the paraphyletic nature of speciation in the trapdoor spider genus Cyclocosmia.
(2018-01-09)
Mygalomorph spiders house an incredible amount of cryptic genetic information, making them an excellent model for species delimitation. An integrative approach to species delimitation uses multiple lines of evidence to ...
Deep Integration of a Flight Vehicle Dynamic Model in a Vector Tracking Software Defined Receiver
(2024-01-04)
The greater occurrence of signal interference on Global Navigation Satellite Systems
(GNSS) requires additional alternative navigation solutions to provide robust, reliable localization
of flight vehicles when measurements ...
Deep Learned Multi-Modal Traffic Agent Predictions for Truck Platooning Cut-Ins
(2020-05-18)
Recent advances in Driver-Assisted Truck Platooning (DATP) have shown success in linking multiple trucks in leader-follower platoons using Cooperative Adaptive Cruise Control (CACC). Such setups allow for closer spacing ...
Deep Learning Methods Using Levenberg-Marquardt with Weight Compression and Discrete Cosine Transform Spectral Pooling
(2018-04-18)
State-of-the-Art Machine Learning methods achieve powerful results on practical problems in all data-driven industries. As these methods are improved, the hardware and training time necessary to implement them have grown ...
Deep Learning, Neural Networks and Aerospace Applications
(2018-11-15)
The ability to rack an enemy missile while in-flight, whether to accurately predict the point of impact (POI), the point of origin (POO) or to destroy the missile in-flight, is greatly enhanced if the missile type and/or ...
Deep Learning-based Load Forecasting and Monitoring in the Smart Grid
(2021-12-05)
With the rapid advances in sensing and acquisition, transmission, storage, computing, and analytics, the era of big data has come. Many advanced data analytic techniques, especially machine learning and deep learning ...
Deep Learning-based Load Forecasting and Monitoring in the Smart Grid
(2021-12-01)
With the rapid advances in sensing and acquisition, transmission, storage, computing, and analytics, the era of big data has come. Many advanced data analytic techniques, especially machine learning and deep learning ...
Deep Time Series Model on Translation and Forecasting
(2021-11-29)
Deep learning techniques have acquired much attention and have been shown to outperform previous state-of-the-art methods in plenty of fields over the last years. This dissertation delves further into the deep time series ...
Deep tissue imaging of B16 melanoma in mice by Multispectral Optoacoustic Tomography
(2022-06-23)
Melanoma is an aggressive type of skin cancer that can metastasize to draining lymph nodes and distant organs. Early detection of melanoma holds the promise of improved patient outcomes by enabling earlier surgical ...
Defatted Soy Flour Substitution in Phenol Formaldehyde and Methylene Diphenyl Diisocyanate Wood Adhesives and their Curing Kinetic Behavior
(2018-04-27)
Composite wood products are manufactured utilizing reconstituted cellulosic material formed with thermosetting adhesives, primarily adhesives made from non-renewable materials. Natural wood adhesives, or bio-adhesives, had ...
Defense Against the Adversarial Arts: Applying Green Team Evaluations to Harden Machine Learning Algorithms from Adversarial Attacks
(2022-04-28)
Machine Learning permeates all facets of our lives today. Given these models are trusted to make important determinations in our lives like credit decisions, how susceptible are those models to attacks? Adversarial machine ...
A Defense System on DDOS Attacks in Mobile Ad Hoc Networks
(2007-05-15)
Network security is a weak link in wired and wireless network systems. Malicious attacks have caused tremendous loss by impairing the functionalities of the computer networks. Denial of Service (DoS) and Distributed DoS ...
Defining and mitigating the impacts of Acanthococcus lagerstroemiae (Hemiptera: Eriococcidae) management on pollinators
(2019-12-10)
Crapemyrtle bark scale (CMBS) [Acanthococcus lagerstroemiae (Kuwana)] is a recently introduced pest in the United States. CMBS attacks crapemyrtle [Lagerstroemia spp. L. (Myrtales: Lythraceae)], a plant ubiquitous in ...
Defining Bitterness in the Workplace
(2006-08-15)
It is important to study bitterness among workers because the consequences of becoming bitter may be detrimental to both the organization and the individual worker. A questionnaire was developed to measure bitterness which ...
Defining Chaos
(2017-07-26)
This thesis is a study of the paper "Defining chaos" by Brian Hunt and Edward Ott [1] with added details to make arguments easier to follow. They introduced a new entropy-based definition of chaos called expansion entropy. ...
Defining Chaos
(2017-07-18)
This thesis is a study of the paper “Defining Chaos” by Brian Hunt and Edward Ott [1] with added details to make arguments easier to follow. They introduced a new entropy based definition of chaos called expansion entropy. ...
Defining Dissociation Based on the Factor Structures of Three Instruments
(2008-12-15)
Dissociation is a poorly defined construct in the literature. The 1st goal of this research was to better define and understand the concept of dissociation through factor analytic study of 3 common measures of dissociation, ...
Defining the Importance of Employability Skills in Career/Technical Education
(2006-12-15)
This study was designed to determine the degree to which Alabama business/marketing educators perceive the Alabama Career/Technical Curriculum Core course objectives are important in designing instruction to teach employability ...