Browsing Carlos Alvarez College of Business Faculty Research by Issue Date
Now showing items 1-20 of 51
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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 ... -
Robust Optimization for Multiobjective Programming Problems with Imprecise Information
(Procedia Computer Science, 17;, 2013)A robust optimization approach is proposed for generating nondominated robust solutions for multiobjective linear programming problems with imprecise coefficients in the objective functions and constraints. Robust optimization ... -
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 ... -
An Improved Apriori Algorithm Based on an Evolution-Communication Tissue-Like P System with Promoters and Inhibitors
(Discrete Dynamics in Nature and Society, 2017;, 2017-02-19)Apriori algorithm, as a typical frequent itemsets mining method, can help researchers and practitioners discover implicit associations from large amounts of data. In this work, a fast Apriori algorithm, called ECTPPI-Apriori, ... -
GPU-Based Parallel Particle Swarm Optimization Methods for Graph Drawing
(Discrete Dynamics in Nature and Society, 2017;, 2017-07-30)Particle Swarm Optimization (PSO) is a population-based stochastic search technique for solving optimization problems, which has been proven to be effective in a wide range of applications. However, the computational ... -
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 ... -
A New Chaotic Starling Particle Swarm Optimization Algorithm for Clustering Problems
(Mathematical Problems in Engineering, 2018;, 2018-08-19)A new method using collective responses of starling birds is developed to enhance the global search performance of standard particle swarm optimization (PSO). The method is named chaotic starling particle swarm optimization ... -
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 ... -
A Density Peak Clustering Algorithm Based on the K-Nearest Shannon Entropy and Tissue-Like P System
(Mathematical Problems in Engineering, 2019;, 2019-07-31)This study proposes a novel method to calculate the density of the data points based on K-nearest neighbors and Shannon entropy. A variant of tissue-like P systems with active membranes is introduced to realize the clustering ... -
Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques
(Computational Intelligence and Neuroscience, 2019,;, 2019-12-16)This study develops tomato disease detection methods based on deep convolutional neural networks and object detection models. Two different models, Faster R-CNN and Mask R-CNN, are used in these methods, where Faster R-CNN ... -
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 ... -
Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
(Computational Intelligence and Neuroscience, 2020;, 2020-09-17)Weighted spiking neural P systems with anti-spikes (AWSN P systems) are proposed by adding anti-spikes to spiking neural P systems with weighted synapses. Anti-spikes behave like spikes of inhibition of communication between ... -
How Main Street Drives Wall Street: Customer (Dis)satisfaction, Short Sellers, and Abnormal Returns
(2020-10-21)Although previous studies have established a direct link between customer-based metrics and stock returns, research is unclear on the mediated nature of their association. The authors examine the association of customer ... -
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 ...