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2.
A structure based technique for spam detection and email classification
by Desai, Varun, M.S.  California State University, Long Beach. 2016: 56 pages; 10017844.
4.
Getting Lost in Email: How and Why Users Spend More Time in Email than Intended
by Hanrahan, Benjamin V., Ph.D.  Virginia Polytechnic Institute and State University. 2014: 196 pages; 10595359.
5.
Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S.  California State University, Long Beach. 2015: 37 pages; 1603749.
8.
Patient-provider email communication: An innovation or a setback?
by Kodali, Parnika S., M.S.  California State University, Long Beach. 2012: 41 pages; 1522637.
9.
Social Media Tools in Instruction and the Digital Classification of Middle School Teachers
by Jacobsen, Summer J., Ed.D.  Regent University. 2021: 141 pages; 28321249.
10.
The analysis of Internet and email communication in health care
by Mu, Tong, M.S.  California State University, Long Beach. 2012: 47 pages; 1517744.
12.
Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
13.
A new distributed framework for cyber attack detection and classification
by Gutta, Sandeep, M.S.  Oklahoma State University. 2011: 86 pages; 1506488.
14.
An investigation of data privacy and utility using machine learning as a gauge
by Mivule, Kato, D.Sc.  Bowie State University. 2014: 262 pages; 3619387.
16.
Effects of Qualitative Factor and Weight Assignment In Multi-criteria Inventory Ranking Method
by K. C., Manish, M.S.  University of Louisiana at Lafayette. 2014: 83 pages; 1592388.
17.
MapSearch: A protocol and prototype application to find maps
by Gelernter, Judith, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2008: 139 pages; 3322148.
18.
Android Sensor Classification Toolset
by Sargent, Mark, M.S.  California State University, Los Angeles. 2015: 22 pages; 10007188.
20.
Detection of Canine Bone Cancer Using Artificial Neural Networks
by Gorre, Naveena, M.S.  Southern Illinois University at Edwardsville. 2020: 70 pages; 27957796.
21.
Levee slide detection using synthetic aperture radar magnitude and phase
by Marapareddy, Ramakalavathi, Ph.D.  Mississippi State University. 2015: 196 pages; 3737165.
22.
An Examination of the Perspective of Permission-based E-mail Among Small-businesses
by Christopher, D. Alan, D.B.A.  Northcentral University. 2019: 160 pages; 13901801.
23.
Deep Learning for Electroencephalography and Near-Infrared Spectroscopy Data
by Wajda, Alexander H., M.S.E.  Widener University. 2020: 71 pages; 27963778.
24.
Advanced neural network clustering techniques for liquid crystal texture classification
by Karaszi, Zoltan, M.C.Sc.  Kent State University. 2013: 71 pages; 1555292.
25.
Classification of gastrointestinal bleeding data
by Chu, Adrienne Michelle, Ph.D.  State University of New York at Stony Brook. 2009: 128 pages; 3393643.
26.
A computer vision approach to classification of circulating tumor cells
by Hopkins, David, M.S.  Colorado State University. 2013: 93 pages; 1539638.
27.
Technostress from eMail: A Case Study
by Lorrain, Susan E., Ph.D.  Grand Canyon University. 2020: 265 pages; 27998804.
28.
Evaluating Model Estimation Processes for Diagnostic Classification Models
by Thompson, William, Ph.D.  University of Kansas. 2018: 127 pages; 10785604.
29.
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