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    Predicting the Next Big Impact: Modelling the Rate of Massive Meteorite Strikes 

    Woods, Ethan; Han, David (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. ...
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    Quantum Computation, Quantum Algorithms and Implications on Data Science 

    Kim, Nathan; Garcia, Jeremy; Han, David (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. ...
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    Comparison of Regression Methods to Identify Differential Expression in RNA-Sequencing Count Data from the Serial Analysis of Gene Expression 

    Arreola, Ivan; Han, David (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 ...
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    Application of the Cox Proportional Hazards Model for the Quantitative Analysis of LC-MS Proteomics Data 

    Arreola, Ivan; Han, David (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) ...
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    Comparison of Gene Set Analysis with Various Score Transformations to Test the Significance of Sets of Genes 

    Arreola, Ivan; Han, David (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 ...
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    Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine 

    Song, Mina; Han, David (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 ...
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    Statistical Perspectives in Teaching Deep Learning from Fundamentals to Applications 

    Kim, Nathan; Han, David (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 ...
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    Predicting the Expected Waiting Time of Popular Attractions in Walt Disney World 

    Mendoza, Dayanira; Wu, Wenbo; Leung, Mark T. (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 ...
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    Strategic Analysis and Evaluation of Cheesecake Factory’s Supply Chain: Uncertainties, Challenges, and Remedies 

    Farley, Brittany; Kidd, Michele; Morgan, Scot; Leung, Mark T. (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 ...
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    Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis 

    Yin, Xiu; Liu, Xiyu; Sun, Minghe; Dong, Jianping; Zhang, Gexiang (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 ...
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    AuthorHan, David (13)Gupta, Ashim (4)Wang, Min (4)Arreola, Ivan (3)Blum, Kenneth (3)Bowirrat, Abdalla (3)Elman, Igor (3)Sun, Minghe (3)Alotaibi, Refah Mohammed (2)Badgaiyan, Rajendra D. (2)... View MoreDepartment
    Management Science and Statistics (26)
    Subjectundergraduate student works (5)Artificial Intelligence (2)machine learning (2)Accelerated Failure Time Model (1)Bayesian inference (1)Conway-Maxwell-Poisson Regression (1)cost efficiency (1)COVID-19 (1)Cox Proportional Hazards Model (1)curriculum development (1)... View MoreDate Issued2020 (7)2022 (7)2019 (5)2023 (4)2021 (2)2018 (1)Has File(s)
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