Browsing Carlos Alvarez College of Business Faculty Research by Issue Date
Now showing items 1-20 of 34
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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 ... -
The Role of the Decision-Making Regime on Cooperation in a Workgroup Social Dilemma: An Examination of Cyberloafing
(11/5/2015)A burgeoning problem facing organizations is the loss of workgroup productivity due to cyberloafing. The current paper examines how changes in the decision-making rights about what workgroup members can do on the job affect ... -
Participatory sensing-based semantic and spatial analysis of urban emergency events using mobile social media
(EURASIP Journal on Wireless Communications and Networking volume;44, 2016-02-09)With the advances of information communication technologies, it is critical to improve the efficiency and accuracy of emergency management systems through modern data processing techniques. Geographic information system ... -
Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing
(EURASIP Journal on Wireless Communications and Networking;130, 2016-05-10)Widespread adoption of cloud computing has increased the attractiveness of such services to cybercriminals. Distributed denial of service (DDoS) attacks targeting the cloud’s bandwidth, services and resources to render the ... -
Comparison of Gene Set Analysis with Various Score Transformations to Test the Significance of Sets of Genes
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 4, 2018)Microarray analysis can help identify changes in gene expression which are characteristic to human diseases. Although genomewide RNA expression analysis has become a common tool in biomedical research, it still remains a ... -
Secure and privacy-preserving 3D vehicle positioning schemes for vehicular ad hoc network
(EURASIP Journal on Wireless Communications and Networking;271, 2018-11-29)Industrial wireless networks (IWNs) have applications in areas such as critical infrastructure sectors and manufacturing industries such as car manufacturing. In car manufacturing, IWNs can facilitate manufacturers to ... -
Comparison of Regression Methods to Identify Differential Expression in RNA-Sequencing Count Data from the Serial Analysis of Gene Expression
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5, 2019)Comparative RNA-sequencing analysis for the Serial Analysis of Gene Expression (SAGE) can help identify changes in gene expression which are characteristic to human diseases. Since the RNA-sequencing experiment measures ... -
Application of the Cox Proportional Hazards Model for the Quantitative Analysis of LC-MS Proteomics Data
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5, 2019)Along with quantitative, analytical genomics, proteomics continues to be a growing field for determining the gene and cellular functions at the protein level. As the liquid chromatography mass spectrometryphy (LC-MS) ... -
Predicting the Expected Waiting Time of Popular Attractions in Walt Disney World
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 6, 2019)Waiting lines are inevitable consequence of imbalance in service operations at modern theme parks. Because of that, parks have introduced different approaches to reduce standard waiting time; some of which are at no extra ... -
Strategic Analysis and Evaluation of Cheesecake Factory’s Supply Chain: Uncertainties, Challenges, and Remedies
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 6, 2019)In the business world, it is important to maintain a profitable balance between efficiency (cost) and responsiveness (to changes in the market, customer demand, etc.) We took the fundamentals of supply chain theory and ... -
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. ... -
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 ... -
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 ... -
More on the Supremum Statistic to Test Multivariate Skew-Normality
(2021-11-29)This review is about verifying and generalizing the supremum test statistic developed by Balakrishnan et al. Exhaustive simulation studies are conducted for various dimensions to determine the effect, in terms of empirical ... -
Mean Equality Tests for High-Dimensional and Higher-Order Data with k-Self Similar Compound Symmetry Covariance Structure
(2022-02-01)An extension of the D2 test statistic to test the equality of mean for high-dimensional and k-th order array-variate data using k-self similar compound symmetry (k-SSCS) covariance structure is derived. The k-th order ... -
Classical and Bayesian Inference of a Progressive-Stress Model for the Nadarajah–Haghighi Distribution with Type II Progressive Censoring and Different Loss Functions
(2022-05-08)Accelerated life testing (ALT) is a time-saving technology used in a variety of fields to obtain failure time data for test units in a fraction of the time required to test them under normal operating conditions. This study ... -
Statistical Validation of Risk Alleles in Genetic Addiction Risk Severity (GARS) Test: Early Identification of Risk for Alcohol Use Disorder (AUD) in 74,566 Case–Control Subjects
(2022-08-26)Since 1990, when our laboratory published the association of the DRD2 Taq A1 allele and severe alcoholism in JAMA, there has been an explosion of genetic candidate association studies, including GWAS. To develop an accurate ... -
Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis
(2022-09-28)The fuzzy reasoning numerical spiking neural P systems (FRNSN P systems) are proposed by introducing the interval-valued triangular fuzzy numbers into the numerical spiking neural P systems (NSN P systems). The NSN P systems ...