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Full-Text Articles in Physical Sciences and Mathematics

Iba Newsletter [August 2020], Communications Department, Office Of The Registrar Aug 2020

Iba Newsletter [August 2020], Communications Department, Office Of The Registrar

IBA News

No abstract provided.


Iba Newsletter [July 2020], Communications Department, Office Of The Registrar Jul 2020

Iba Newsletter [July 2020], Communications Department, Office Of The Registrar

IBA News

No abstract provided.


Feature Extraction And Analysis Of Binaries For Classification, Micah Flack Apr 2020

Feature Extraction And Analysis Of Binaries For Classification, Micah Flack

Annual Research Symposium

The research project, Feature Extraction and, Analysis of Binaries for Classification, provides an in-depth examination of the features shared by unlabeled binary samples, for classification into the categories of benign or malicious software using several different methods. Because of the time it takes to manually analyze or reverse engineer binaries to determine their function, the ability to gather features and then instantly classify samples without explicitly programming the solution is incredibly valuable. It is possible to use an online service; however, this is not always viable depending on the sensitivity of the binary. With Python3 and the Pefile library, we …


Interview With Deborah Winslow Of The National Science Foundation, Jerome W. Crowder, Mike Fortun, Rachel Besara, Lindsay Poirier Jan 2020

Interview With Deborah Winslow Of The National Science Foundation, Jerome W. Crowder, Mike Fortun, Rachel Besara, Lindsay Poirier

Statistical and Data Sciences: Faculty Books

Chapter Abstract:

In this chapter the editors interview Dr. Deborah Winslow about her work at the National Science Foundation (NSF) and the evolution of data management plans (DMPs) in Anthropology and the Social, Behavioral and Economic Sciences (SBE). She outlines what the NSF expects to see in a DMP and what not to include. The conversation moves into how anthropologists collaborate with “adjacent disciplines” and how the ideas and terms for data, and the expectations of data change. She emphasizes thinking about the kind of data you will collect and what you plan to do with those data later, in …