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91.
A Parametric Classification of Directed Acyclic Graphs
by Chaturvedi, Mmanu, M.S.  Colorado State University. 2017: 45 pages; 10599253.
92.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
93.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
94.
Efficient sensing, summarization and classification of videos
by Shroff, Nitesh, Ph.D.  University of Maryland, College Park. 2012: 240 pages; 3543609.
95.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
96.
Women and Coronary Artery Disease
by Stancell-Smith, Gwendolyn Y., D.N.P.  Walden University. 2017: 80 pages; 10257830.
99.
Noncoding Genetic Variants in Congenital Heart Disease
by Richter, Felix, Ph.D.  Icahn School of Medicine at Mount Sinai. 2019: 103 pages; 13877496.
100.
Dietary fats, atherosclerosis, and cardiovascular disease
by Roth, Nitzan C., Ph.D.  University of Southern California. 2009: 138 pages; 3389618.
101.
A hierarchical typology of children in elementary school using teacher ratings of behavior
by Mindrila, Diana L., Ph.D.  University of South Carolina. 2012: 119 pages; 3509539.
102.
A mobile and cloud-based framework for plant stress detection from crowdsourced visual and infrared imagery
by Zukowski, Daniel, M.S.  University of Colorado at Boulder. 2016: 65 pages; 10124049.
103.
Robust Classification of Emotion in Human Speech Using Spectrogram Features
by Guven, Erhan, Ph.D.  The George Washington University. 2012: 133 pages; 3502353.
104.
A reassessment of the genetic classification of Miluk Coos
by Doty, Christopher S., Ph.D.  University of Oregon. 2012: 167 pages; 3523326.
105.
Rapid Classification of Imaged Objects Using Molecular Factor and Multivariate Optical Computing
by Pearl, Megan Renee, Ph.D.  University of South Carolina. 2011: 199 pages; 3469163.
106.
An Application of Deep Learning Models to Automate Food Waste Classification
by Espinoza, Alejandro Zachary, M.S.  Portland State University. 2019: 136 pages; 27662936.
107.
A computer vision approach to classification of circulating tumor cells
by Hopkins, David, M.S.  Colorado State University. 2013: 93 pages; 1539638.
108.
Decision tree-based machine learning algorithm for in-node vehicle classification
by Trivedi, Ankit P., M.S.  California State University, Long Beach. 2016: 66 pages; 10196455.
110.
Point Vortices: Finding Periodic Orbits and their Topological Classification
by Smith, Spencer Ambrose, Ph.D.  Tufts University. 2012: 201 pages; 3541851.
111.
Classification and Moduli Spaces of Surfaces of General Type with pg = q =1
by Ling, Songbo, Dr.Nat.  Universitaet Bayreuth (Germany). 2017: 55 pages; 27603236.
113.
A structure based technique for spam detection and email classification
by Desai, Varun, M.S.  California State University, Long Beach. 2016: 56 pages; 10017844.
115.
Surface classification via unmanned aerial vehicles gripper finger deflection
by Van Hoosear, Christopher A., M.S.Eng.  University of the Pacific. 2013: 88 pages; 1548752.
116.
Phase space analysis and classification of sonar echoes in shallow -water channels
by Okopal, Greg, Ph.D.  University of Pittsburgh. 2009: 109 pages; 3384975.
117.
Convolutional Neural Networks for EEG Signal Classification in Asynchronous Brain-Computer Interfaces
by Forney, Elliott M., Ph.D.  Colorado State University. 2019: 239 pages; 27544218.
118.
119.
Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
120.
The Development of a Gridded Weather Typing Classification Scheme
by Lee, Cameron C., Ph.D.  Kent State University. 2014: 265 pages; 3618946.
91 - 120 of 26487 displayed.
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