Browsing Carlos Alvarez College of Business Faculty Research by Title
Now showing items 1-20 of 51
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A Conway–Maxwell–Poisson Type Generalization of Hypergeometric Distribution
(2023-02-02)The hypergeometric distribution has gained its importance in practice as it pertains to sampling without replacement from a finite population. It has been used to estimate the population size of rare species in ecology, ... -
A Novel Certificateless Signature Scheme for Smart Objects in the Internet-of-Things
(5/1/2017)Rapid advances in wireless communications and pervasive computing technologies have resulted in increasing interest and popularity of Internet-of-Things (IoT) architecture, ubiquitously providing intelligence and convenience ... -
A Study of the Triggers of Conflict and Emotional Reactions
(4/20/2017)We study three triggers of conflict and explore their resultant emotional reactions in a laboratory experiment. Economists suggest that the primary trigger of conflict is monetary incentives. Social psychologists suggest ... -
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 ... -
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) ... -
Can Hierarchical Transformers Learn Facial Geometry?
(2023-01-13)Human faces are a core part of our identity and expression, and thus, understanding facial geometry is key to capturing this information. Automated systems that seek to make use of this information must have a way of ... -
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 ... -
Clinical and Quality of Life Benefits for End-Stage Workers' Compensation Chronic Pain Claimants following H-Wave(R) Device Stimulation: A Retrospective Observational Study with Mean 2-Year Follow-Up
(2023-02-01)Previously promising short-term H-Wave(R) device stimulation (HWDS) outcomes prompted this retrospective cohort study of the longer-term effects on legacy workers' compensation chronic pain claimants. A detailed chart-review ... -
The Communication of Justice, Injustice, and Necessary Evils: An Empirical Examination
(2021-09-22)The prevailing approach to studying justice in the workplace has focused on recipients and observers of justice. This approach, however, fails to consider the experience of other parties including those who communicate ... -
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 ... -
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 ... -
Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
(5/25/2021)Smart Agriculture or Agricultural Internet of things, consists of integrating advanced technologies (e.g., NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm operations to improve the quality 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 ... -
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 ... -
Emerging Technologies for Future Sensor Networks—Selected Papers from ICGHIT 2019
(9/6/2019)The International Conference on Green and Human Information Technology (ICGHIT) is an international conference focusing on green and information technologies oriented toward humanity [...] -
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 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 ... -
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 ... -
Genetic Addiction Risk and Psychological Profiling Analyses for "Preaddiction" Severity Index
(2022-10-27)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 genome-wide association ... -
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 ...