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Predicting the Next Big Impact: Modelling the Rate of Massive Meteorite Strikes
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
Meteorites are solid pieces of debris from an astronomical object such as a comet, asteroid, or meteoroid that originates in outer space and survives its passage through the atmosphere to reach the surface of a planet. ...
Quantum Computation, Quantum Algorithms and Implications on Data Science
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
Quantum computing is a new revolutionary computing paradigm, first theorized in 1981. It is based on quantum physics and quantum mechanics, which are fundamentally stochastic in nature with inherent randomness and uncertainty. ...
Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
Precision medicine allows personalized treatment regime for patients with distinct clinical history and characteristics. Dynamic treatment regime implements a reinforcement learning algorithm to produce the optimal ...
Statistical Perspectives in Teaching Deep Learning from Fundamentals to Applications
(The UTSA Journal of Undergraduate Research and Scholarly Work;, 2020-12)
The use of Artificial Intelligence, machine learning and deep learning have gained a lot of attention and become increasingly popular in many areas of application. Historically machine learning and theory had strong ...
A Study on the X¯ and S Control Charts with Unequal Sample Sizes
(5/2/2020)
The control charts based on X¯ and S are widely used to monitor the mean and variability
of variables and can help quality engineers identify and investigate causes of the process variation.
The usual requirement behind ...
Load-Sharing Model under Lindley Distribution and Its Parameter Estimation Using the Expectation-Maximization Algorithm
(11/22/2020)
A load-sharing system is defined as a parallel system whose load will be redistributed to its surviving components as each of the components fails in the system. Our focus is on making statistical inference of the parameters ...
Stochastic SIR-based Examination of the Policy Effects on the COVID-19 Spread in the U.S. States
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
Since the global outbreak of the novel COVID-19, many research groups have studied the epidemiology of the virus for short-term forecasts and to formulate the effective disease containment and mitigation strategies. The ...
An Extended Clustering Membrane System Based on Particle Swarm Optimization and Cell-Like P System with Active Membranes
(Mathematical Problems in Engineering, 2020;, 2020-01-31)
An extended clustering membrane system using a cell-like P system with active membranes based on particle swarm optimization (PSO), named PSO-CP, is designed, developed, implemented, and tested. The purpose of PSO-CP is ...
A DNA algorithm for the job shop scheduling problem based on the Adleman-Lipton model
(PLOS ONE, 15(12);, 2020-12-02)
A DNA (DeoxyriboNucleic Acid) algorithm is proposed to solve the job shop scheduling problem. An encoding scheme for the problem is developed and DNA computing operations are proposed for the algorithm. After an initial ...
Influential Factors and the Realization Mechanism of Sustainable Information-Sharing in Virtual Communities from a Knowledge Fermenting Perspective
(SAGE Open, 10(4);, 2020-11-25)
Little is known about sustainable information-sharing in virtual communities, although it is increasingly recognized as a useful information-sharing tool. The aim of this study is to explore the influential factors and the ...