Zobrazeno 1 - 10
of 27
pro vyhledávání: '"David R. Musicant"'
Publikováno v:
Sensors, Vol 24, Iss 13, p 4361 (2024)
The paper “Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions” (Sensors 2021, 21, 5273) proposes a novel approach to predicting blood glucose levels for people with type 1 diabetes mellitus
Externí odkaz:
https://doaj.org/article/e10068dea8114719be67f9fab030ede8
Publikováno v:
SIGCSE
Relational databases have dominated both industry usage and academic database courses for decades. More recently, there has been a dramatic increase in the use of NoSQL database systems, especially in data science. Bringing NoSQL databases to the cla
Publikováno v:
SIGCSE
With approximately 37,000 students entering college with an Advanced Placement CS Principles credit, students, parents, and teachers are wondering how that AP credit "counts" in college. In this panel, we will share perspectives from the College Boar
Publikováno v:
SIGCSE
This panel will include experience reports from five computer science faculty members who have team-taught courses with professors from outside the sciences. Specifically, we will discuss lessons learned and best practices with collaborating with fac
Publikováno v:
SIGCSE
Version control systems are crucial tools for computer scientists, and the need for students to be fluent in them is well-recognized. However, Git and other version control systems (VCSs) are difficult to learn and use. Elegit is a new Git client tha
Autor:
Benjamin J. Anderson, Leah E. Steinberg, Janara Christensen, Jeffrey Rzeszotarski, Catherine Nelson, Emma Turetsky, Robert Atlas, Lei Chen, David C. Snyder, David R. Musicant, Deborah S. Gross, Sami Benzaid, Jon Sulman, Jamie Olson, James J. Schauer, Anna Ritz, Thomas G. Smith
Publikováno v:
Environmental Modelling & Software. 25:760-769
Here we present a new open-source software package designed to facilitate the analysis of atmospheric data, with emphasis on data mining applications applied to single-particle mass spectrometry data from aerosol particles. The software package, Ench
Publikováno v:
CHI
Localness is an oft-cited benefit of volunteered geographic information (VGI). This study examines whether localness is a constant, universally shared benefit of VGI, or one that varies depending on the context in which it is produced. Focusing on ar
Autor:
David R. Musicant, S. Selcen Guzey
Publikováno v:
SIGCSE
The new AP CS Principles curriculum has a significant component regarding modeling and simulation, and many teachers will need to figure out how to accomplish this in their classroom. We have developed a new publicly available media-enhanced approach
Autor:
Zheng Huang, Raghu Ramakrishnan, James J. Schauer, Deborah S. Gross, Martin M. Shafer, Lei Chen, David R. Musicant
Publikováno v:
International Journal of Intelligent Systems. 20:759-787
There is a great need to better understand the sources, dynamics, and compositions of atmospheric aerosols. The traditional approach for particle measurement, collecting bulk samples of particulates on filters, is not adequate for studying particle d
Autor:
David R. Musicant, A. Feinberg
Publikováno v:
IEEE Transactions on Neural Networks. 15:268-275
This paper presents active set support vector regression (ASVR), a new active set strategy to solve a straightforward reformulation of the standard support vector regression problem. This new algorithm is based on the successful ASVM algorithm for cl