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Now showing items 1601-1620 of 9122
Decision Models for a Two-Stage Supply Chain Planning under Uncertainty with Time-sensitive Shortages and Real Option Approach
(2010-03-23)
The primary objective of this research is to develop analytical models for typical supply
chain situations to help inventory decision-makers. We also derive closed form solutions
for each model and reveal several ...
A decision support system for biorefinery location and logistics
(2009-05-01)
The use of forest biomass, a renewable resource, as a source of fuels or chemicals is hindered by logistics. Economic success of the bioenergy concepts and their products may also depend on the solution to the logistics ...
A Decision Support Tool: Integrating Wildlife Occupancy Models with Stand Projections
(2011-08-16)
With the increase in consumptive trends of wood products there is greater push for ecosystem management. Ecosystem management is a process that aims to conserve major ecological services and restore natural resources while ...
Decomposing Graphs With Two Associate Classes Into Paths Of Length 3 And The Intersection Problem Of Latin Rectangles
(2018-07-24)
In this thesis, the decomposition problem of graphs with two associate classes into paths
of length 3 is completely settled. The intersection problem for latin rectangles is completely
solved as well. In addition, an ...
Decomposition of Coarse Woody Debris and Microbial Biomass in Tidal Freshwater Forested Wetlands along a River to Estuary Gradient on the Apalachicola River in Florida
(2011-04-07)
Decomposition dynamics of mass, carbon (C), nitrogen (N), and phosphorous (P) as well as downed woody debris biomass and microbial biomass were assayed along a river to estuary gradient in wetlands alongside the Apalachicola ...
Decomposition of Complete Tri-Partite Graphs into 5-Cycles
(2013-04-16)
E. S. Mahmoodian gave necessary conditions for when the edges of a complete tripartite graph can be partitioned so that each set in the partition induces a 5-cycle. Since then, he, N. J. Cavenagh, E. J. Billington, S. ...
Decontamination of Escherichia coli O157:H7 and Salmonella in Lettuce, Chicken, and Apples by Chlorine Dioxide and Ultrasound
(2005-12-15)
Chlorine dioxide (ClO2) has been used for many years by the food industry and public water suppliers as a sanitizing and disinfecting agents. The mechanisms of microbial inactivation by ultrasonication are mainly due to ...
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 ...