Browsing Library by Title
Now showing items 4118-4137 of 7484
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Lumped Parameter Modeling Of Fluid Line Dynamics With Turbulent Flow Conditions
(Mechanical Engineering, 2013-03-20)A procedure for obtaining rational polynomial transfer functions representing ordinary differential equations for time domain transient response simulations of systems with fluid transmission lines with incompressible ... -
Lung cancer growth forecasting and classification models by machine learning using a novel 2D co-culture high throughput device
(2023-12-14)**Please note that the full text is embargoed until 02/01/2025** Co-culture devices have commonly been used during in vitro experimentation to create therapeutic testing devices for lung cancer that more closely mimic the ... -
LUNG CANCER SUBTYPE CLASSIFICATION FROM WHOLE SLIDE HISTOPATHOLOGICAL IMAGES
(2015-12-16)Lung Cancer is one of the most serious diseases causing death for human be- ings. The progression of the disease and response to treatment di ers widely among patients. Thus it is very important to classify the type of ... -
LUNG CANCER TARGETED CHEMOTHERAPY VIA HERCEPTIN BASED CHIMERIC ANTIGEN RECEPTOR (CAR) ENGINEERED T CELL MEMBRANE COATED SYNTHETIC NANOPARTICLES
(2019-08-21)Cell membrane-derived nanoparticles recently caught attention due to their desirable features in drug delivery such as mimicking properties of native tissue and cells, avoiding systemic clearance, and alleviating foreign ... -
Lung Nodule Detection and Segmentation Using a Patch-Based Multi-Atlas Method
(2018-08-13)CT image based lung nodule detection is the most widely used and accepted method for detecting lung cancer. Most CT image based methods rely on supervised learning, which has a high number of false positives and need a ... -
Lung protection by inhalation of exogenous solubilized extracellular matrix
(PLoS ONEDepartment of Bioengineering, The University of Texas at Arlington, 2017-02-02)Decellularized extracellular matrix (ECM) contains complex tissue-specific components that work in concert to promote tissue repair and constructive remodeling and has been used experimentally and clinically to accelerate ... -
Lustration Legislation In Eastern Europe And Its Meaning For The Western World
(History, 2014-12)Lustration policies spread widely across Eastern Europe in the early 1990's after the fall of the Communism when most of the post-Communist states of Eastern Europe employed a strategy of purging the former Communists from ... -
Luyia Whispered Vowels-Tones
(University of Texas at ArlingtonDepartment of Linguistics & TESOL, 1977-08-09) -
M-infosift : A Graph-based Approach For Multiclass Document Classification
(Computer Science & Engineering, 2007-09-17)With the increase in the amount of data being introduced into the Internet on a daily basis, the problem of managing large amount of data is an unavoidable problem. The area of document classification has been examined, ... -
M-O-T-H-E-R A word that means the world to me
(Leo Feist, New YorkCentral Library, University of Texas at Arlington, 1915) -
Machine Learning and Deep Learning Applications in Neuroimaging
(2020-08-20)Deep Learning (DL) tools have the potential to analyze large datasets and extract meaningful insights to enhance patient outcomes. Radiological images such as MRI and CT, often contain complex patterns that can be difficult ... -
MACHINE LEARNING BASED DATACENTER MONITORING FRAMEWORK
(2016-12-09)Monitoring the health of large data centers is a major concern with the ever-increasing demand of grid/cloud computing and the higher need of computational power. In a High Performance Computing (HPC) environment, the need ... -
MACHINE LEARNING FOR TARGET DETECTION USING UWB RADAR SENSOR NETWORKS
(2022-12-05)Machine learning (ML) has recently been used to solve critical problems. This dissertation focuses on developing systems using Ultra-Wideband (UWB) wireless sensor networks and machine learning to solve critical tasks such ... -
Machine learning for ultraviolet spectral prediction
(2023-05-24)Machine Learning has found wide applications in material science, including dielectric polymers, superconducting materials, and drug property prediction. The use of data analytics and machine learning methods to predict ... -
Machine Learning Framework for Nonlinear and Interaction Relationships Involving Categorical and Numerical Features
(2021-09-01)Traditionally, physical scientific experiments have been conducted extensively to study and understand the behavior of a process or a system. With the advancement of computing technology in recent years, computer codes and ... -
Machine Learning Methods for Statistical Analysis and Representation Learning on Neuroimaging Data
(2022-05-17)With the recent advance and widespread adoption of imaging technological innovations, clinical practitioner and scientists can easily acquire and store a large amount of various neuroimaging modalities, such as Diffusion ... -
MACHINE LEARNING METHODS TO IMPROVE FAIRNESS AND PREDICTION ACCURACY ON LARGESOCIALLY RELEVANT DATASETS
(2021-08-16)Machine learning-based decision support systems bring relief to the decision-makers in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. These ... -
Machine Learning Text Dataset
(2023-05-05)Use predictive modelling to generate Models which were later used for predicting the new dataset. Achieved accuracy of 91.23%. -
MACHINE LEARNING WITH GRAPHS
(2021-05-09)In recent years, graph-based machine learning methods have attracted great attention because of their effectiveness and efficiency. Inspired by this trend, this thesis summarizes my research topics on machine learning ... -
Machine Learning-based Methods for the Segmentation of Scanning Electron Microscopy Images of Fine-Grained Shale Samples
(2022-12-15)The segmentation of scanning electron microscopy (SEM) images is critical yet time-consuming for geological studies, as it will need to differentiate the boundaries for different mineral objects to facilitate subsequent ...