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1.
Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S.  California State University, Long Beach. 2015: 37 pages; 1603749.
5.
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.
6.
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.
7.
Detection of Canine Bone Cancer Using Artificial Neural Networks
by Gorre, Naveena, M.S.  Southern Illinois University at Edwardsville. 2020: 70 pages; 27957796.
9.
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.
10.
Levee slide detection using synthetic aperture radar magnitude and phase
by Marapareddy, Ramakalavathi, Ph.D.  Mississippi State University. 2015: 196 pages; 3737165.
11.
Android Sensor Classification Toolset
by Sargent, Mark, M.S.  California State University, Los Angeles. 2015: 22 pages; 10007188.
12.
Thermographic Image Analysis as a Pre-Screening Tool for the Detection of Canine Bone Cancer
by Subedi, Samrat, M.S.  Southern Illinois University at Edwardsville. 2014: 131 pages; 1583211.
13.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
14.
In-Node Vehicle Classification and Identification
by Bavkar, Indraneel N., M.S.  California State University, Long Beach. 2017: 50 pages; 10639676.
15.
Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
16.
Acoustic and Image Vehicle Classification System
by Hoang, Trong Tuyen, M.S.  California State University, Long Beach. 2017: 56 pages; 10604463.
17.
Classification of visemes using visual cues
by Alothmany, Nazeeh Shuja, Ph.D.  University of Pittsburgh. 2009: 156 pages; 3384972.
18.
Deep Learning for Electroencephalography and Near-Infrared Spectroscopy Data
by Wajda, Alexander H., M.S.E.  Widener University. 2020: 71 pages; 27963778.
19.
Real time vibraphone pitch and timbre classification
by Larke, Kevin, M.A.  University of California, San Diego. 2008: 51 pages; 1459923.
20.
Classification of gastrointestinal bleeding data
by Chu, Adrienne Michelle, Ph.D.  State University of New York at Stony Brook. 2009: 128 pages; 3393643.
21.
A Parametric Classification of Directed Acyclic Graphs
by Chaturvedi, Mmanu, M.S.  Colorado State University. 2017: 45 pages; 10599253.
22.
Average likelihood method for classification of CDMA
by Vega Irizarry, Alfredo, Ph.D.  State University of New York at Buffalo. 2016: 143 pages; 10127689.
23.
Automatic detection and classification of prosodic events
by Rosenberg, Andrew, Ph.D.  Columbia University. 2009: 381 pages; 3393597.
24.
Tree-Based Ensemble Classification Algorithms for Genomic Data
by Doan, Quoc A., M.S.  California State University, Long Beach. 2020: 54 pages; 27736947.
25.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
26.
Optimized Veterinary Thermographic Image Classification using Support Vector Machines and Noise Mitigation
by Lama, Norsang, M.S.  Southern Illinois University at Edwardsville. 2017: 56 pages; 10616467.
27.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
28.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
29.
Evaluating Model Estimation Processes for Diagnostic Classification Models
by Thompson, William, Ph.D.  University of Kansas. 2018: 127 pages; 10785604.
30.
Classification accuracy of logistic regression models under misspecifications
by Zhang, Enhan, Ph.D.  New York University. 2014: 137 pages; 3635317.
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