Now showing items 31-38 of 38
More on the Supremum Statistic to Test Multivariate Skew-Normality
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 ...
Emerging Technologies for Future Sensor Networks—Selected Papers from ICGHIT 2019
The International Conference on Green and Human Information Technology (ICGHIT) is an international conference focusing on green and information technologies oriented toward humanity [...]
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
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 ...
Positive Clinical Outcomes for Severe Reported Pain Using Robust Non-Addictive Home Electrotherapy—A Case-Series
The North American opioid epidemic has resulted in over 800,000 related premature overdose fatalities since 2000, with the United States leading the world in highest opioid deaths per capita. Despite increased federal ...
Identifying Flow Patterns in a Narrow Channel via Feature Extraction of Conductivity Measurements with a Support Vector Machine
In this work, a visualization experiment for rectangular channels was carried out to explore gas–liquid two-phase flow characteristics. Typical flow patterns, including bubble, elastic and mixed flows, were captured by ...
A Conway–Maxwell–Poisson Type Generalization of Hypergeometric Distribution
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, ...
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 ...
Can Hierarchical Transformers Learn Facial Geometry?
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 ...