UMBC Mathematics and Statistics Department: Recent submissions
Now showing items 41-60 of 401
-
Forecasting Sea Ice Concentrations using Attention-based Ensemble LSTM (Papers Track)
Accurately forecasting Arctic sea ice from sub-seasonal to seasonal scales has been a major scientific effort with fundamental challenges at play. In addition to physics-based earth system models, researchers have been ... -
Performance Benchmarking of Data Augmentation and GPU Count Variability for Deep Learning Tornado Predictions
(Elsevier, 2021-07-15)Predicting violent storms and dangerous weather conditions with current mod- els can take a long time due to the immense complexity associated with weather simulation. Machine learning has the potential to classify ... -
Positive and Negative Photoconductivity in Monolayer MoS₂ as a Function of Physisorbed Oxygen
(ACS, 2021-04-16)We investigate the effect of molecular oxygen on the photoconductivity of monolayer MoS₂ via broad-band time-resolved terahertz spectroscopy. We observe that the photoconductivity of monolayer MoS₂ transitions from ... -
FLIP: A Utility Preserving Privacy Mechanism for Time Series
(2022-07-15)Guaranteeing privacy in released data is an important goal for data-producing agencies. There has been extensive research on developing suitable privacy mechanisms in recent years. Particularly notable is the idea of noise ... -
Criteria for the (in)stability of planar interfaces in singularly perturbed 2-component reaction-diffusion equations
(2022-07-11)We consider a class of singularly perturbed 2-component reaction-diffusion equations which admit bistable traveling front solutions, manifesting as sharp, slow-fast-slow, interfaces between stable homogeneous rest states. ... -
Team-Based Online Learning in Multidisciplinary Research and Instruction
There is a critical nationwide shortage of IT professionals as well as of scientists and engineers with high-performance computing (HPC) and big data related advanced computing skills. Simultaneously, the technology is ... -
On Tournaments and Negative Dependence
(2022-06-16)Negative dependence of sequences of random variables is often an interesting characteristic of their distribution, as well as a useful tool for studying various asymptotic results, including central limit theorems, Poisson ... -
Inexact and primal multilevel FETI-DP methods: a multilevel extension and interplay with BDDC
(Wiley, 2022-06-07)We study a framework that allows to solve the coarse problem in the FETI-DP method approximately. It is based on the saddle-point formulation of the FETI-DP system with a block-triangular preconditioner. One of the blocks ... -
Yield Responses of Grain Sorghum and Cowpea in Binary and Sole Cultures under No-Tillage Conditions in Limpopo Province
(MDPI, 2022-05-23)Climate change is severely disrupting ecosystem services and crop productivity, resulting in lower crop growth and yields. Studies have emphasized the importance of assessing conservation practices through crop modelling ... -
Bayesian Analysis of Multiply Imputed Synthetic Data Under the Multiple Linear Regression Model
(Center for Statistical Research & Methodology Research and Methodology Directorate U.S. Census Bureau, 2022-04-04)In this paper we consider Bayesian inference of model parameters in a multiple linear regression model when the response variable is sensitive and the covariates are not, analysis being carried out based on multiple synthetic ... -
A note on the distribution of the extreme degrees of a random graph via the Stein-Chen method
(2022-04-13)We offer an alternative proof, using the Stein-Chen method, of Bollobás' theorem concerning the distribution of the extreme degrees of a random graph. The same method also applies in a more general setting where the ... -
Training the next generation of computational scientists through a new undergraduate course
(2022-04-05)We introduce a newly designed undergraduate-level interdisciplinary course in scientific computing that aims to prepare students as the next generation of research-oriented computational scientists and engineers. The course ... -
Rectangular Confidence Regions and Prediction Regions in Multivariate Calibration
(Springer, 2022-03-28)The multivariate calibration problem deals with inference concerning an unknown value of a covariate vector based on an observation on a response vector. Two distinct scenarios are considered in the multivariate calibration ... -
A Modified Minibatch Sampling Method for Parameter Estimation in Hidden Markov Models using Stochastic Variational Bayes
(Wiley, 2021-12-14)Parameter estimation using stochastic variatonal Bayes (SVB) under a mean field assumption can be carried out by sampling a single data point at each iteration of the optimization algorithm. However, when latent variables ... -
Using Deep Learning to Enhance Compton Camera Based Prompt Gamma Image Reconstruction Data for Proton Radiotherapy
(Wiley, 2021-12-14)Proton beam radiotherapy is a cancer treatment method that uses proton beams to irradiate cancerous tissue while simultaneously sparing doses to healthy tissue. In order to optimize radiational doses to the tumor and ensure ... -
Deep Learning Based Classification Methods of Compton Camera Based Prompt Gamma Imaging for Proton Radiotherapy
(2021)Proton beam radiotherapy is a method of cancer treatment that uses proton beams to irradi ate cancerous tissue, while simultaneously sparing doses to healthy tissue. In order to optimize radiation doses to the tumor and ... -
A Study of The Clinical Viability of A Prototype Compton Camera for Prompt Gamma Imaging Based Proton Beam Range Verification
(AAPM, 2021-06-25)We present Compton camera (CC) based PG imaging for proton range verification at clinical dose rates. PG emission from a tissue-equivalent phantom during irradiation with clinical proton beams was measured with a prototype ... -
Stochastic Galerkin finite element method for nonlinear elasticity and application to reinforced concrete members
(2022-03-21)We develop a stochastic Galerkin finite element method for nonlinear elasticity and apply it to reinforced concrete members with random material properties. The strategy is based on the modified Newton-Raphson method, which ... -
Stochastic Galerkin methods for linear stability analysis of systems with parametric uncertainty
(SIAM, 2022-03-03)We present a method for linear stability analysis of systems with parametric uncertainty formulated in the stochastic Galerkin framework. Specifically, we assume that for a model partial differential equation, the parameter ... -
A System with Two Spare Units, Two Repair Facilities, and Two Types of Repairers
(MDPI, 2022-03-08)Assuming exponential lifetime and repair time distributions, we study the limiting availability A∞ as well as the per unit time-limiting profit ω of a one-unit system having two identical, cold standby spare units using ...